diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..668c998a994c3b3fff2f9d0d3fff3ec1afcc426f 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,14 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-1086/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-1629/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-2172/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-2715/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-3258/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-3801/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-4344/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-4887/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-543/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-5430/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c4354d1e6c5874fc6ead8955cc29893a9d09fcb8
--- /dev/null
+++ b/README.md
@@ -0,0 +1,62 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+model_name: seed_42
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+licence: license
+pipeline_tag: text-generation
+---
+
+# Model Card for seed_42
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[
](https://wandb.ai/camilab-stanford-university/subliminal_learning/runs/9746rvh5)
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- PEFT 0.19.1
+- TRL: 1.2.0
+- Transformers: 5.5.4
+- Pytorch: 2.10.0
+- Datasets: 4.8.4
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+
+```bibtex
+@software{vonwerra2020trl,
+ title = {{TRL: Transformers Reinforcement Learning}},
+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+ license = {Apache-2.0},
+ url = {https://github.com/huggingface/trl},
+ year = {2020}
+}
+```
\ No newline at end of file
diff --git a/adapter_config.json b/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/adapter_model.safetensors b/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..c57a413b91fad886bd899d552a4aace9704085e4
--- /dev/null
+++ b/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44a37f4e701d0d74b2f3087cbbb4d2cce354e5bfcb1651dbb4d48e82fd2234d7
+size 80792096
diff --git a/chat_template.jinja b/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-1086/README.md b/checkpoint-1086/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-1086/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-1086/adapter_config.json b/checkpoint-1086/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-1086/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-1086/adapter_model.safetensors b/checkpoint-1086/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..80d00e51d8c73891cebcae009d307dfdd97cc00e
--- /dev/null
+++ b/checkpoint-1086/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eace20f3ff41af75c2ea9c9643e6063d8734d60b4b3bcec95f05c8940d3430be
+size 80792096
diff --git a/checkpoint-1086/chat_template.jinja b/checkpoint-1086/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-1086/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-1086/tokenizer.json b/checkpoint-1086/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-1086/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-1086/tokenizer_config.json b/checkpoint-1086/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-1086/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-1086/trainer_state.json b/checkpoint-1086/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..b028f54e62aaa80a880b3caf59fa9a2987e776da
--- /dev/null
+++ b/checkpoint-1086/trainer_state.json
@@ -0,0 +1,1136 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 2.0,
+ "eval_steps": 500,
+ "global_step": 1086,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 1.0639691635941704e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-1086/training_args.bin b/checkpoint-1086/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-1086/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-1629/README.md b/checkpoint-1629/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-1629/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-1629/adapter_config.json b/checkpoint-1629/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-1629/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-1629/adapter_model.safetensors b/checkpoint-1629/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..004ab27f8498192090bcd87ba2405f20b982200b
--- /dev/null
+++ b/checkpoint-1629/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebf4459fd4ce731043eb056554bc1c81afea162e43afc91a4e21906da57bbdc0
+size 80792096
diff --git a/checkpoint-1629/chat_template.jinja b/checkpoint-1629/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-1629/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-1629/tokenizer.json b/checkpoint-1629/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-1629/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-1629/tokenizer_config.json b/checkpoint-1629/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-1629/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-1629/trainer_state.json b/checkpoint-1629/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..19c86b53fe97ac71abe1a1e1bfb5b2fe70c3f1dc
--- /dev/null
+++ b/checkpoint-1629/trainer_state.json
@@ -0,0 +1,1687 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 3.0,
+ "eval_steps": 500,
+ "global_step": 1629,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 1.595677368674943e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-1629/training_args.bin b/checkpoint-1629/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-1629/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-2172/README.md b/checkpoint-2172/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-2172/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-2172/adapter_config.json b/checkpoint-2172/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-2172/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-2172/adapter_model.safetensors b/checkpoint-2172/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..7878cb3ceb7cba2f95b9bd9db6115f077efed3ef
--- /dev/null
+++ b/checkpoint-2172/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c86f8f8223f27673f137496bfe71dc599b6baf7e185de17ad979b78a2ac98e6
+size 80792096
diff --git a/checkpoint-2172/chat_template.jinja b/checkpoint-2172/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-2172/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-2172/tokenizer.json b/checkpoint-2172/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-2172/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-2172/tokenizer_config.json b/checkpoint-2172/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-2172/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-2172/trainer_state.json b/checkpoint-2172/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..b3ac32f90bac7db9571b734d9459ed3f9092efc4
--- /dev/null
+++ b/checkpoint-2172/trainer_state.json
@@ -0,0 +1,2248 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 4.0,
+ "eval_steps": 500,
+ "global_step": 2172,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ },
+ {
+ "entropy": 0.9337226033210755,
+ "epoch": 3.001841620626151,
+ "grad_norm": 0.646203875541687,
+ "learning_rate": 8.387233236315016e-05,
+ "loss": 0.043352216482162476,
+ "mean_token_accuracy": 0.9830620110034942,
+ "num_tokens": 33488302.0,
+ "step": 1630
+ },
+ {
+ "entropy": 0.9734923839569092,
+ "epoch": 3.020257826887661,
+ "grad_norm": 0.7564226984977722,
+ "learning_rate": 8.364769739484416e-05,
+ "loss": 0.033932483196258544,
+ "mean_token_accuracy": 0.9872806966304779,
+ "num_tokens": 33693531.0,
+ "step": 1640
+ },
+ {
+ "entropy": 0.9669206500053406,
+ "epoch": 3.0386740331491713,
+ "grad_norm": 0.7126886248588562,
+ "learning_rate": 8.342181420671096e-05,
+ "loss": 0.03818287253379822,
+ "mean_token_accuracy": 0.9852082908153534,
+ "num_tokens": 33899305.0,
+ "step": 1650
+ },
+ {
+ "entropy": 0.9522916138172149,
+ "epoch": 3.0570902394106816,
+ "grad_norm": 1.0571653842926025,
+ "learning_rate": 8.319469117828007e-05,
+ "loss": 0.03456039130687714,
+ "mean_token_accuracy": 0.9867027878761292,
+ "num_tokens": 34104585.0,
+ "step": 1660
+ },
+ {
+ "entropy": 0.9568560004234314,
+ "epoch": 3.0755064456721914,
+ "grad_norm": 0.780940592288971,
+ "learning_rate": 8.296633673507505e-05,
+ "loss": 0.03551802039146423,
+ "mean_token_accuracy": 0.9867531359195709,
+ "num_tokens": 34309516.0,
+ "step": 1670
+ },
+ {
+ "entropy": 0.9590656876564025,
+ "epoch": 3.0939226519337018,
+ "grad_norm": 0.8330219388008118,
+ "learning_rate": 8.273675934830094e-05,
+ "loss": 0.03674865961074829,
+ "mean_token_accuracy": 0.9864118576049805,
+ "num_tokens": 34515170.0,
+ "step": 1680
+ },
+ {
+ "entropy": 0.975881814956665,
+ "epoch": 3.1123388581952116,
+ "grad_norm": 0.7010637521743774,
+ "learning_rate": 8.250596753453e-05,
+ "loss": 0.03550414443016052,
+ "mean_token_accuracy": 0.9864102602005005,
+ "num_tokens": 34720896.0,
+ "step": 1690
+ },
+ {
+ "entropy": 0.9599562883377075,
+ "epoch": 3.130755064456722,
+ "grad_norm": 0.6694278717041016,
+ "learning_rate": 8.227396985538578e-05,
+ "loss": 0.035564273595809937,
+ "mean_token_accuracy": 0.9867321848869324,
+ "num_tokens": 34925970.0,
+ "step": 1700
+ },
+ {
+ "entropy": 0.9582216143608093,
+ "epoch": 3.149171270718232,
+ "grad_norm": 0.9333199262619019,
+ "learning_rate": 8.204077491722546e-05,
+ "loss": 0.035575729608535764,
+ "mean_token_accuracy": 0.9862452208995819,
+ "num_tokens": 35131543.0,
+ "step": 1710
+ },
+ {
+ "entropy": 0.9579678058624268,
+ "epoch": 3.167587476979742,
+ "grad_norm": 0.9450218081474304,
+ "learning_rate": 8.180639137082066e-05,
+ "loss": 0.0385298490524292,
+ "mean_token_accuracy": 0.98538036942482,
+ "num_tokens": 35336790.0,
+ "step": 1720
+ },
+ {
+ "entropy": 0.9640831351280212,
+ "epoch": 3.1860036832412524,
+ "grad_norm": 0.8551534414291382,
+ "learning_rate": 8.157082791103649e-05,
+ "loss": 0.03702138364315033,
+ "mean_token_accuracy": 0.9852015495300293,
+ "num_tokens": 35542294.0,
+ "step": 1730
+ },
+ {
+ "entropy": 0.9867071211338043,
+ "epoch": 3.2044198895027622,
+ "grad_norm": 0.7138128876686096,
+ "learning_rate": 8.133409327650897e-05,
+ "loss": 0.035626694560050964,
+ "mean_token_accuracy": 0.986064875125885,
+ "num_tokens": 35747447.0,
+ "step": 1740
+ },
+ {
+ "entropy": 0.9639089345932007,
+ "epoch": 3.2228360957642725,
+ "grad_norm": 0.7131415009498596,
+ "learning_rate": 8.109619624932092e-05,
+ "loss": 0.035885071754455565,
+ "mean_token_accuracy": 0.986273056268692,
+ "num_tokens": 35952258.0,
+ "step": 1750
+ },
+ {
+ "entropy": 0.9516046345233917,
+ "epoch": 3.241252302025783,
+ "grad_norm": 0.6900200843811035,
+ "learning_rate": 8.085714565467611e-05,
+ "loss": 0.03535219430923462,
+ "mean_token_accuracy": 0.985836285352707,
+ "num_tokens": 36157938.0,
+ "step": 1760
+ },
+ {
+ "entropy": 0.9373646557331086,
+ "epoch": 3.2596685082872927,
+ "grad_norm": 0.6101690530776978,
+ "learning_rate": 8.061695036057191e-05,
+ "loss": 0.034940996766090394,
+ "mean_token_accuracy": 0.9863743901252746,
+ "num_tokens": 36363825.0,
+ "step": 1770
+ },
+ {
+ "entropy": 0.9444344758987426,
+ "epoch": 3.278084714548803,
+ "grad_norm": 0.7518529295921326,
+ "learning_rate": 8.03756192774703e-05,
+ "loss": 0.03404279053211212,
+ "mean_token_accuracy": 0.9866396844387054,
+ "num_tokens": 36568961.0,
+ "step": 1780
+ },
+ {
+ "entropy": 0.9550357758998871,
+ "epoch": 3.2965009208103133,
+ "grad_norm": 0.7687555551528931,
+ "learning_rate": 8.013316135796734e-05,
+ "loss": 0.038447052240371704,
+ "mean_token_accuracy": 0.985325163602829,
+ "num_tokens": 36774514.0,
+ "step": 1790
+ },
+ {
+ "entropy": 0.9477231681346894,
+ "epoch": 3.314917127071823,
+ "grad_norm": 0.7521633505821228,
+ "learning_rate": 7.988958559646102e-05,
+ "loss": 0.03746694028377533,
+ "mean_token_accuracy": 0.9853165090084076,
+ "num_tokens": 36979660.0,
+ "step": 1800
+ },
+ {
+ "entropy": 0.925805002450943,
+ "epoch": 3.3333333333333335,
+ "grad_norm": 0.9333297610282898,
+ "learning_rate": 7.964490102881768e-05,
+ "loss": 0.03700103759765625,
+ "mean_token_accuracy": 0.9850880861282348,
+ "num_tokens": 37185191.0,
+ "step": 1810
+ },
+ {
+ "entropy": 0.9225482225418091,
+ "epoch": 3.3517495395948433,
+ "grad_norm": 0.7928622961044312,
+ "learning_rate": 7.939911673203665e-05,
+ "loss": 0.03825801610946655,
+ "mean_token_accuracy": 0.9850241422653199,
+ "num_tokens": 37390749.0,
+ "step": 1820
+ },
+ {
+ "entropy": 0.9597147881984711,
+ "epoch": 3.3701657458563536,
+ "grad_norm": 0.7658583521842957,
+ "learning_rate": 7.915224182391375e-05,
+ "loss": 0.039855146408081056,
+ "mean_token_accuracy": 0.9845879554748536,
+ "num_tokens": 37596052.0,
+ "step": 1830
+ },
+ {
+ "entropy": 0.9485619068145752,
+ "epoch": 3.388581952117864,
+ "grad_norm": 0.8492130637168884,
+ "learning_rate": 7.890428546270278e-05,
+ "loss": 0.039359599351882935,
+ "mean_token_accuracy": 0.9847265422344208,
+ "num_tokens": 37802063.0,
+ "step": 1840
+ },
+ {
+ "entropy": 0.9670301914215088,
+ "epoch": 3.406998158379374,
+ "grad_norm": 0.7527599930763245,
+ "learning_rate": 7.865525684677608e-05,
+ "loss": 0.03752985596656799,
+ "mean_token_accuracy": 0.9855137526988983,
+ "num_tokens": 38007432.0,
+ "step": 1850
+ },
+ {
+ "entropy": 0.9681244969367981,
+ "epoch": 3.425414364640884,
+ "grad_norm": 0.7599612474441528,
+ "learning_rate": 7.840516521428303e-05,
+ "loss": 0.03653894364833832,
+ "mean_token_accuracy": 0.9858933389186859,
+ "num_tokens": 38212923.0,
+ "step": 1860
+ },
+ {
+ "entropy": 0.9706049561500549,
+ "epoch": 3.443830570902394,
+ "grad_norm": 0.7678127884864807,
+ "learning_rate": 7.815401984280748e-05,
+ "loss": 0.0366938978433609,
+ "mean_token_accuracy": 0.9854713797569274,
+ "num_tokens": 38418422.0,
+ "step": 1870
+ },
+ {
+ "entropy": 0.9637093842029572,
+ "epoch": 3.4622467771639043,
+ "grad_norm": 0.762824535369873,
+ "learning_rate": 7.790183004902359e-05,
+ "loss": 0.03516915142536163,
+ "mean_token_accuracy": 0.9866003453731537,
+ "num_tokens": 38624389.0,
+ "step": 1880
+ },
+ {
+ "entropy": 0.9373565018177032,
+ "epoch": 3.4806629834254146,
+ "grad_norm": 0.8221780061721802,
+ "learning_rate": 7.764860518835014e-05,
+ "loss": 0.04049026966094971,
+ "mean_token_accuracy": 0.984089481830597,
+ "num_tokens": 38829654.0,
+ "step": 1890
+ },
+ {
+ "entropy": 0.9356025457382202,
+ "epoch": 3.4990791896869244,
+ "grad_norm": 0.7583426237106323,
+ "learning_rate": 7.739435465460356e-05,
+ "loss": 0.03658481240272522,
+ "mean_token_accuracy": 0.9857318818569183,
+ "num_tokens": 39034638.0,
+ "step": 1900
+ },
+ {
+ "entropy": 0.9740163326263428,
+ "epoch": 3.5174953959484347,
+ "grad_norm": 0.7332878112792969,
+ "learning_rate": 7.713908787964937e-05,
+ "loss": 0.03508963882923126,
+ "mean_token_accuracy": 0.9863419532775879,
+ "num_tokens": 39240265.0,
+ "step": 1910
+ },
+ {
+ "entropy": 0.9528286933898926,
+ "epoch": 3.5359116022099446,
+ "grad_norm": 0.6515451669692993,
+ "learning_rate": 7.688281433305233e-05,
+ "loss": 0.036055779457092284,
+ "mean_token_accuracy": 0.9860979080200195,
+ "num_tokens": 39445546.0,
+ "step": 1920
+ },
+ {
+ "entropy": 0.9480705261230469,
+ "epoch": 3.554327808471455,
+ "grad_norm": 0.7725827097892761,
+ "learning_rate": 7.662554352172515e-05,
+ "loss": 0.037101513147354125,
+ "mean_token_accuracy": 0.985782790184021,
+ "num_tokens": 39651078.0,
+ "step": 1930
+ },
+ {
+ "entropy": 0.9655321061611175,
+ "epoch": 3.572744014732965,
+ "grad_norm": 0.7756506204605103,
+ "learning_rate": 7.636728498957581e-05,
+ "loss": 0.03721855878829956,
+ "mean_token_accuracy": 0.9857951939105988,
+ "num_tokens": 39856542.0,
+ "step": 1940
+ },
+ {
+ "entropy": 0.9772682309150695,
+ "epoch": 3.591160220994475,
+ "grad_norm": 0.9084987640380859,
+ "learning_rate": 7.610804831715355e-05,
+ "loss": 0.03570749163627625,
+ "mean_token_accuracy": 0.9863450109958649,
+ "num_tokens": 40061913.0,
+ "step": 1950
+ },
+ {
+ "entropy": 0.9579685389995575,
+ "epoch": 3.6095764272559854,
+ "grad_norm": 0.6358487606048584,
+ "learning_rate": 7.584784312129334e-05,
+ "loss": 0.038210684061050416,
+ "mean_token_accuracy": 0.9850837290287018,
+ "num_tokens": 40267398.0,
+ "step": 1960
+ },
+ {
+ "entropy": 0.9605201721191406,
+ "epoch": 3.6279926335174952,
+ "grad_norm": 0.6263149976730347,
+ "learning_rate": 7.558667905475927e-05,
+ "loss": 0.03509160876274109,
+ "mean_token_accuracy": 0.9868143379688263,
+ "num_tokens": 40472827.0,
+ "step": 1970
+ },
+ {
+ "entropy": 0.964026153087616,
+ "epoch": 3.6464088397790055,
+ "grad_norm": 0.90068119764328,
+ "learning_rate": 7.532456580588638e-05,
+ "loss": 0.036211782693862916,
+ "mean_token_accuracy": 0.9858468770980835,
+ "num_tokens": 40677935.0,
+ "step": 1980
+ },
+ {
+ "entropy": 0.9494135618209839,
+ "epoch": 3.664825046040516,
+ "grad_norm": 0.760134756565094,
+ "learning_rate": 7.50615130982213e-05,
+ "loss": 0.03786201477050781,
+ "mean_token_accuracy": 0.9852500438690186,
+ "num_tokens": 40883750.0,
+ "step": 1990
+ },
+ {
+ "entropy": 0.9527071297168732,
+ "epoch": 3.6832412523020257,
+ "grad_norm": 0.9812107682228088,
+ "learning_rate": 7.479753069016152e-05,
+ "loss": 0.03803159594535828,
+ "mean_token_accuracy": 0.9852405369281769,
+ "num_tokens": 41089115.0,
+ "step": 2000
+ },
+ {
+ "entropy": 0.9639330863952636,
+ "epoch": 3.701657458563536,
+ "grad_norm": 0.7164933681488037,
+ "learning_rate": 7.453262837459332e-05,
+ "loss": 0.03912568986415863,
+ "mean_token_accuracy": 0.9849458575248718,
+ "num_tokens": 41294694.0,
+ "step": 2010
+ },
+ {
+ "entropy": 0.9536987483501435,
+ "epoch": 3.720073664825046,
+ "grad_norm": 0.6804596185684204,
+ "learning_rate": 7.426681597852863e-05,
+ "loss": 0.036410006880760196,
+ "mean_token_accuracy": 0.985712206363678,
+ "num_tokens": 41499817.0,
+ "step": 2020
+ },
+ {
+ "entropy": 0.9478164672851562,
+ "epoch": 3.738489871086556,
+ "grad_norm": 0.8799397349357605,
+ "learning_rate": 7.400010336274037e-05,
+ "loss": 0.03801035583019256,
+ "mean_token_accuracy": 0.9850274682044983,
+ "num_tokens": 41704932.0,
+ "step": 2030
+ },
+ {
+ "entropy": 0.9383447647094727,
+ "epoch": 3.7569060773480665,
+ "grad_norm": 0.8386216163635254,
+ "learning_rate": 7.373250042139664e-05,
+ "loss": 0.0373637855052948,
+ "mean_token_accuracy": 0.9854822158813477,
+ "num_tokens": 41910804.0,
+ "step": 2040
+ },
+ {
+ "entropy": 0.925172996520996,
+ "epoch": 3.7753222836095763,
+ "grad_norm": 0.7599324584007263,
+ "learning_rate": 7.346401708169377e-05,
+ "loss": 0.03585260808467865,
+ "mean_token_accuracy": 0.9860672950744629,
+ "num_tokens": 42116706.0,
+ "step": 2050
+ },
+ {
+ "entropy": 0.9463765442371368,
+ "epoch": 3.7937384898710866,
+ "grad_norm": 0.9030149579048157,
+ "learning_rate": 7.319466330348797e-05,
+ "loss": 0.035877206921577455,
+ "mean_token_accuracy": 0.9863968968391419,
+ "num_tokens": 42322670.0,
+ "step": 2060
+ },
+ {
+ "entropy": 0.9942441761493683,
+ "epoch": 3.8121546961325965,
+ "grad_norm": 0.6400449275970459,
+ "learning_rate": 7.292444907892587e-05,
+ "loss": 0.037310433387756345,
+ "mean_token_accuracy": 0.9854151606559753,
+ "num_tokens": 42527752.0,
+ "step": 2070
+ },
+ {
+ "entropy": 0.9577703952789307,
+ "epoch": 3.830570902394107,
+ "grad_norm": 0.6193167567253113,
+ "learning_rate": 7.265338443207387e-05,
+ "loss": 0.03648848831653595,
+ "mean_token_accuracy": 0.9856530070304871,
+ "num_tokens": 42732981.0,
+ "step": 2080
+ },
+ {
+ "entropy": 0.9663952767848969,
+ "epoch": 3.848987108655617,
+ "grad_norm": 0.759611189365387,
+ "learning_rate": 7.238147941854625e-05,
+ "loss": 0.036112996935844424,
+ "mean_token_accuracy": 0.9862765550613404,
+ "num_tokens": 42938619.0,
+ "step": 2090
+ },
+ {
+ "entropy": 0.9484863519668579,
+ "epoch": 3.867403314917127,
+ "grad_norm": 0.7420705556869507,
+ "learning_rate": 7.210874412513218e-05,
+ "loss": 0.03703283965587616,
+ "mean_token_accuracy": 0.9857317566871643,
+ "num_tokens": 43143753.0,
+ "step": 2100
+ },
+ {
+ "entropy": 0.964326673746109,
+ "epoch": 3.8858195211786373,
+ "grad_norm": 0.8779639601707458,
+ "learning_rate": 7.183518866942147e-05,
+ "loss": 0.03739701807498932,
+ "mean_token_accuracy": 0.9852154791355133,
+ "num_tokens": 43349451.0,
+ "step": 2110
+ },
+ {
+ "entropy": 0.9729791641235351,
+ "epoch": 3.904235727440147,
+ "grad_norm": 0.7582741379737854,
+ "learning_rate": 7.156082319942929e-05,
+ "loss": 0.03894525766372681,
+ "mean_token_accuracy": 0.9847454309463501,
+ "num_tokens": 43554598.0,
+ "step": 2120
+ },
+ {
+ "entropy": 0.9860592544078827,
+ "epoch": 3.9226519337016574,
+ "grad_norm": 0.860698938369751,
+ "learning_rate": 7.128565789321969e-05,
+ "loss": 0.0365300178527832,
+ "mean_token_accuracy": 0.9859121859073638,
+ "num_tokens": 43760081.0,
+ "step": 2130
+ },
+ {
+ "entropy": 0.9916551172733307,
+ "epoch": 3.9410681399631677,
+ "grad_norm": 0.8363776206970215,
+ "learning_rate": 7.100970295852805e-05,
+ "loss": 0.036221379041671754,
+ "mean_token_accuracy": 0.9859034180641174,
+ "num_tokens": 43965432.0,
+ "step": 2140
+ },
+ {
+ "entropy": 0.9553558886051178,
+ "epoch": 3.9594843462246776,
+ "grad_norm": 0.9627474546432495,
+ "learning_rate": 7.073296863238242e-05,
+ "loss": 0.03684481382369995,
+ "mean_token_accuracy": 0.9857315957546234,
+ "num_tokens": 44171232.0,
+ "step": 2150
+ },
+ {
+ "entropy": 0.9538035809993743,
+ "epoch": 3.977900552486188,
+ "grad_norm": 0.8399474620819092,
+ "learning_rate": 7.045546518072366e-05,
+ "loss": 0.03825397789478302,
+ "mean_token_accuracy": 0.9846831560134888,
+ "num_tokens": 44376723.0,
+ "step": 2160
+ },
+ {
+ "entropy": 0.9476235210895538,
+ "epoch": 3.9963167587476978,
+ "grad_norm": 0.708739697933197,
+ "learning_rate": 7.017720289802472e-05,
+ "loss": 0.03618018329143524,
+ "mean_token_accuracy": 0.9861325800418854,
+ "num_tokens": 44582407.0,
+ "step": 2170
+ },
+ {
+ "epoch": 4.0,
+ "eval_entropy": 0.9569619194321011,
+ "eval_loss": 0.059838198125362396,
+ "eval_mean_token_accuracy": 0.9777795366618944,
+ "eval_num_tokens": 44623647.0,
+ "eval_runtime": 10.0379,
+ "eval_samples_per_second": 364.42,
+ "eval_steps_per_second": 11.457,
+ "step": 2172
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 2.12729708313523e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-2172/training_args.bin b/checkpoint-2172/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-2172/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-2715/README.md b/checkpoint-2715/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-2715/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-2715/adapter_config.json b/checkpoint-2715/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-2715/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-2715/adapter_model.safetensors b/checkpoint-2715/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..5a72e2e421dee68709606aa3c59d0a38a675ebd6
--- /dev/null
+++ b/checkpoint-2715/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65a66fa5ef9ed41e342eac55fca7f83744379f75f4d29b573d2790ba504c1659
+size 80792096
diff --git a/checkpoint-2715/chat_template.jinja b/checkpoint-2715/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-2715/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-2715/tokenizer.json b/checkpoint-2715/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-2715/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-2715/tokenizer_config.json b/checkpoint-2715/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-2715/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-2715/trainer_state.json b/checkpoint-2715/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..0eb3eba2e0652f0cc35262a3123c6ef135fce116
--- /dev/null
+++ b/checkpoint-2715/trainer_state.json
@@ -0,0 +1,2799 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 5.0,
+ "eval_steps": 500,
+ "global_step": 2715,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ },
+ {
+ "entropy": 0.9337226033210755,
+ "epoch": 3.001841620626151,
+ "grad_norm": 0.646203875541687,
+ "learning_rate": 8.387233236315016e-05,
+ "loss": 0.043352216482162476,
+ "mean_token_accuracy": 0.9830620110034942,
+ "num_tokens": 33488302.0,
+ "step": 1630
+ },
+ {
+ "entropy": 0.9734923839569092,
+ "epoch": 3.020257826887661,
+ "grad_norm": 0.7564226984977722,
+ "learning_rate": 8.364769739484416e-05,
+ "loss": 0.033932483196258544,
+ "mean_token_accuracy": 0.9872806966304779,
+ "num_tokens": 33693531.0,
+ "step": 1640
+ },
+ {
+ "entropy": 0.9669206500053406,
+ "epoch": 3.0386740331491713,
+ "grad_norm": 0.7126886248588562,
+ "learning_rate": 8.342181420671096e-05,
+ "loss": 0.03818287253379822,
+ "mean_token_accuracy": 0.9852082908153534,
+ "num_tokens": 33899305.0,
+ "step": 1650
+ },
+ {
+ "entropy": 0.9522916138172149,
+ "epoch": 3.0570902394106816,
+ "grad_norm": 1.0571653842926025,
+ "learning_rate": 8.319469117828007e-05,
+ "loss": 0.03456039130687714,
+ "mean_token_accuracy": 0.9867027878761292,
+ "num_tokens": 34104585.0,
+ "step": 1660
+ },
+ {
+ "entropy": 0.9568560004234314,
+ "epoch": 3.0755064456721914,
+ "grad_norm": 0.780940592288971,
+ "learning_rate": 8.296633673507505e-05,
+ "loss": 0.03551802039146423,
+ "mean_token_accuracy": 0.9867531359195709,
+ "num_tokens": 34309516.0,
+ "step": 1670
+ },
+ {
+ "entropy": 0.9590656876564025,
+ "epoch": 3.0939226519337018,
+ "grad_norm": 0.8330219388008118,
+ "learning_rate": 8.273675934830094e-05,
+ "loss": 0.03674865961074829,
+ "mean_token_accuracy": 0.9864118576049805,
+ "num_tokens": 34515170.0,
+ "step": 1680
+ },
+ {
+ "entropy": 0.975881814956665,
+ "epoch": 3.1123388581952116,
+ "grad_norm": 0.7010637521743774,
+ "learning_rate": 8.250596753453e-05,
+ "loss": 0.03550414443016052,
+ "mean_token_accuracy": 0.9864102602005005,
+ "num_tokens": 34720896.0,
+ "step": 1690
+ },
+ {
+ "entropy": 0.9599562883377075,
+ "epoch": 3.130755064456722,
+ "grad_norm": 0.6694278717041016,
+ "learning_rate": 8.227396985538578e-05,
+ "loss": 0.035564273595809937,
+ "mean_token_accuracy": 0.9867321848869324,
+ "num_tokens": 34925970.0,
+ "step": 1700
+ },
+ {
+ "entropy": 0.9582216143608093,
+ "epoch": 3.149171270718232,
+ "grad_norm": 0.9333199262619019,
+ "learning_rate": 8.204077491722546e-05,
+ "loss": 0.035575729608535764,
+ "mean_token_accuracy": 0.9862452208995819,
+ "num_tokens": 35131543.0,
+ "step": 1710
+ },
+ {
+ "entropy": 0.9579678058624268,
+ "epoch": 3.167587476979742,
+ "grad_norm": 0.9450218081474304,
+ "learning_rate": 8.180639137082066e-05,
+ "loss": 0.0385298490524292,
+ "mean_token_accuracy": 0.98538036942482,
+ "num_tokens": 35336790.0,
+ "step": 1720
+ },
+ {
+ "entropy": 0.9640831351280212,
+ "epoch": 3.1860036832412524,
+ "grad_norm": 0.8551534414291382,
+ "learning_rate": 8.157082791103649e-05,
+ "loss": 0.03702138364315033,
+ "mean_token_accuracy": 0.9852015495300293,
+ "num_tokens": 35542294.0,
+ "step": 1730
+ },
+ {
+ "entropy": 0.9867071211338043,
+ "epoch": 3.2044198895027622,
+ "grad_norm": 0.7138128876686096,
+ "learning_rate": 8.133409327650897e-05,
+ "loss": 0.035626694560050964,
+ "mean_token_accuracy": 0.986064875125885,
+ "num_tokens": 35747447.0,
+ "step": 1740
+ },
+ {
+ "entropy": 0.9639089345932007,
+ "epoch": 3.2228360957642725,
+ "grad_norm": 0.7131415009498596,
+ "learning_rate": 8.109619624932092e-05,
+ "loss": 0.035885071754455565,
+ "mean_token_accuracy": 0.986273056268692,
+ "num_tokens": 35952258.0,
+ "step": 1750
+ },
+ {
+ "entropy": 0.9516046345233917,
+ "epoch": 3.241252302025783,
+ "grad_norm": 0.6900200843811035,
+ "learning_rate": 8.085714565467611e-05,
+ "loss": 0.03535219430923462,
+ "mean_token_accuracy": 0.985836285352707,
+ "num_tokens": 36157938.0,
+ "step": 1760
+ },
+ {
+ "entropy": 0.9373646557331086,
+ "epoch": 3.2596685082872927,
+ "grad_norm": 0.6101690530776978,
+ "learning_rate": 8.061695036057191e-05,
+ "loss": 0.034940996766090394,
+ "mean_token_accuracy": 0.9863743901252746,
+ "num_tokens": 36363825.0,
+ "step": 1770
+ },
+ {
+ "entropy": 0.9444344758987426,
+ "epoch": 3.278084714548803,
+ "grad_norm": 0.7518529295921326,
+ "learning_rate": 8.03756192774703e-05,
+ "loss": 0.03404279053211212,
+ "mean_token_accuracy": 0.9866396844387054,
+ "num_tokens": 36568961.0,
+ "step": 1780
+ },
+ {
+ "entropy": 0.9550357758998871,
+ "epoch": 3.2965009208103133,
+ "grad_norm": 0.7687555551528931,
+ "learning_rate": 8.013316135796734e-05,
+ "loss": 0.038447052240371704,
+ "mean_token_accuracy": 0.985325163602829,
+ "num_tokens": 36774514.0,
+ "step": 1790
+ },
+ {
+ "entropy": 0.9477231681346894,
+ "epoch": 3.314917127071823,
+ "grad_norm": 0.7521633505821228,
+ "learning_rate": 7.988958559646102e-05,
+ "loss": 0.03746694028377533,
+ "mean_token_accuracy": 0.9853165090084076,
+ "num_tokens": 36979660.0,
+ "step": 1800
+ },
+ {
+ "entropy": 0.925805002450943,
+ "epoch": 3.3333333333333335,
+ "grad_norm": 0.9333297610282898,
+ "learning_rate": 7.964490102881768e-05,
+ "loss": 0.03700103759765625,
+ "mean_token_accuracy": 0.9850880861282348,
+ "num_tokens": 37185191.0,
+ "step": 1810
+ },
+ {
+ "entropy": 0.9225482225418091,
+ "epoch": 3.3517495395948433,
+ "grad_norm": 0.7928622961044312,
+ "learning_rate": 7.939911673203665e-05,
+ "loss": 0.03825801610946655,
+ "mean_token_accuracy": 0.9850241422653199,
+ "num_tokens": 37390749.0,
+ "step": 1820
+ },
+ {
+ "entropy": 0.9597147881984711,
+ "epoch": 3.3701657458563536,
+ "grad_norm": 0.7658583521842957,
+ "learning_rate": 7.915224182391375e-05,
+ "loss": 0.039855146408081056,
+ "mean_token_accuracy": 0.9845879554748536,
+ "num_tokens": 37596052.0,
+ "step": 1830
+ },
+ {
+ "entropy": 0.9485619068145752,
+ "epoch": 3.388581952117864,
+ "grad_norm": 0.8492130637168884,
+ "learning_rate": 7.890428546270278e-05,
+ "loss": 0.039359599351882935,
+ "mean_token_accuracy": 0.9847265422344208,
+ "num_tokens": 37802063.0,
+ "step": 1840
+ },
+ {
+ "entropy": 0.9670301914215088,
+ "epoch": 3.406998158379374,
+ "grad_norm": 0.7527599930763245,
+ "learning_rate": 7.865525684677608e-05,
+ "loss": 0.03752985596656799,
+ "mean_token_accuracy": 0.9855137526988983,
+ "num_tokens": 38007432.0,
+ "step": 1850
+ },
+ {
+ "entropy": 0.9681244969367981,
+ "epoch": 3.425414364640884,
+ "grad_norm": 0.7599612474441528,
+ "learning_rate": 7.840516521428303e-05,
+ "loss": 0.03653894364833832,
+ "mean_token_accuracy": 0.9858933389186859,
+ "num_tokens": 38212923.0,
+ "step": 1860
+ },
+ {
+ "entropy": 0.9706049561500549,
+ "epoch": 3.443830570902394,
+ "grad_norm": 0.7678127884864807,
+ "learning_rate": 7.815401984280748e-05,
+ "loss": 0.0366938978433609,
+ "mean_token_accuracy": 0.9854713797569274,
+ "num_tokens": 38418422.0,
+ "step": 1870
+ },
+ {
+ "entropy": 0.9637093842029572,
+ "epoch": 3.4622467771639043,
+ "grad_norm": 0.762824535369873,
+ "learning_rate": 7.790183004902359e-05,
+ "loss": 0.03516915142536163,
+ "mean_token_accuracy": 0.9866003453731537,
+ "num_tokens": 38624389.0,
+ "step": 1880
+ },
+ {
+ "entropy": 0.9373565018177032,
+ "epoch": 3.4806629834254146,
+ "grad_norm": 0.8221780061721802,
+ "learning_rate": 7.764860518835014e-05,
+ "loss": 0.04049026966094971,
+ "mean_token_accuracy": 0.984089481830597,
+ "num_tokens": 38829654.0,
+ "step": 1890
+ },
+ {
+ "entropy": 0.9356025457382202,
+ "epoch": 3.4990791896869244,
+ "grad_norm": 0.7583426237106323,
+ "learning_rate": 7.739435465460356e-05,
+ "loss": 0.03658481240272522,
+ "mean_token_accuracy": 0.9857318818569183,
+ "num_tokens": 39034638.0,
+ "step": 1900
+ },
+ {
+ "entropy": 0.9740163326263428,
+ "epoch": 3.5174953959484347,
+ "grad_norm": 0.7332878112792969,
+ "learning_rate": 7.713908787964937e-05,
+ "loss": 0.03508963882923126,
+ "mean_token_accuracy": 0.9863419532775879,
+ "num_tokens": 39240265.0,
+ "step": 1910
+ },
+ {
+ "entropy": 0.9528286933898926,
+ "epoch": 3.5359116022099446,
+ "grad_norm": 0.6515451669692993,
+ "learning_rate": 7.688281433305233e-05,
+ "loss": 0.036055779457092284,
+ "mean_token_accuracy": 0.9860979080200195,
+ "num_tokens": 39445546.0,
+ "step": 1920
+ },
+ {
+ "entropy": 0.9480705261230469,
+ "epoch": 3.554327808471455,
+ "grad_norm": 0.7725827097892761,
+ "learning_rate": 7.662554352172515e-05,
+ "loss": 0.037101513147354125,
+ "mean_token_accuracy": 0.985782790184021,
+ "num_tokens": 39651078.0,
+ "step": 1930
+ },
+ {
+ "entropy": 0.9655321061611175,
+ "epoch": 3.572744014732965,
+ "grad_norm": 0.7756506204605103,
+ "learning_rate": 7.636728498957581e-05,
+ "loss": 0.03721855878829956,
+ "mean_token_accuracy": 0.9857951939105988,
+ "num_tokens": 39856542.0,
+ "step": 1940
+ },
+ {
+ "entropy": 0.9772682309150695,
+ "epoch": 3.591160220994475,
+ "grad_norm": 0.9084987640380859,
+ "learning_rate": 7.610804831715355e-05,
+ "loss": 0.03570749163627625,
+ "mean_token_accuracy": 0.9863450109958649,
+ "num_tokens": 40061913.0,
+ "step": 1950
+ },
+ {
+ "entropy": 0.9579685389995575,
+ "epoch": 3.6095764272559854,
+ "grad_norm": 0.6358487606048584,
+ "learning_rate": 7.584784312129334e-05,
+ "loss": 0.038210684061050416,
+ "mean_token_accuracy": 0.9850837290287018,
+ "num_tokens": 40267398.0,
+ "step": 1960
+ },
+ {
+ "entropy": 0.9605201721191406,
+ "epoch": 3.6279926335174952,
+ "grad_norm": 0.6263149976730347,
+ "learning_rate": 7.558667905475927e-05,
+ "loss": 0.03509160876274109,
+ "mean_token_accuracy": 0.9868143379688263,
+ "num_tokens": 40472827.0,
+ "step": 1970
+ },
+ {
+ "entropy": 0.964026153087616,
+ "epoch": 3.6464088397790055,
+ "grad_norm": 0.90068119764328,
+ "learning_rate": 7.532456580588638e-05,
+ "loss": 0.036211782693862916,
+ "mean_token_accuracy": 0.9858468770980835,
+ "num_tokens": 40677935.0,
+ "step": 1980
+ },
+ {
+ "entropy": 0.9494135618209839,
+ "epoch": 3.664825046040516,
+ "grad_norm": 0.760134756565094,
+ "learning_rate": 7.50615130982213e-05,
+ "loss": 0.03786201477050781,
+ "mean_token_accuracy": 0.9852500438690186,
+ "num_tokens": 40883750.0,
+ "step": 1990
+ },
+ {
+ "entropy": 0.9527071297168732,
+ "epoch": 3.6832412523020257,
+ "grad_norm": 0.9812107682228088,
+ "learning_rate": 7.479753069016152e-05,
+ "loss": 0.03803159594535828,
+ "mean_token_accuracy": 0.9852405369281769,
+ "num_tokens": 41089115.0,
+ "step": 2000
+ },
+ {
+ "entropy": 0.9639330863952636,
+ "epoch": 3.701657458563536,
+ "grad_norm": 0.7164933681488037,
+ "learning_rate": 7.453262837459332e-05,
+ "loss": 0.03912568986415863,
+ "mean_token_accuracy": 0.9849458575248718,
+ "num_tokens": 41294694.0,
+ "step": 2010
+ },
+ {
+ "entropy": 0.9536987483501435,
+ "epoch": 3.720073664825046,
+ "grad_norm": 0.6804596185684204,
+ "learning_rate": 7.426681597852863e-05,
+ "loss": 0.036410006880760196,
+ "mean_token_accuracy": 0.985712206363678,
+ "num_tokens": 41499817.0,
+ "step": 2020
+ },
+ {
+ "entropy": 0.9478164672851562,
+ "epoch": 3.738489871086556,
+ "grad_norm": 0.8799397349357605,
+ "learning_rate": 7.400010336274037e-05,
+ "loss": 0.03801035583019256,
+ "mean_token_accuracy": 0.9850274682044983,
+ "num_tokens": 41704932.0,
+ "step": 2030
+ },
+ {
+ "entropy": 0.9383447647094727,
+ "epoch": 3.7569060773480665,
+ "grad_norm": 0.8386216163635254,
+ "learning_rate": 7.373250042139664e-05,
+ "loss": 0.0373637855052948,
+ "mean_token_accuracy": 0.9854822158813477,
+ "num_tokens": 41910804.0,
+ "step": 2040
+ },
+ {
+ "entropy": 0.925172996520996,
+ "epoch": 3.7753222836095763,
+ "grad_norm": 0.7599324584007263,
+ "learning_rate": 7.346401708169377e-05,
+ "loss": 0.03585260808467865,
+ "mean_token_accuracy": 0.9860672950744629,
+ "num_tokens": 42116706.0,
+ "step": 2050
+ },
+ {
+ "entropy": 0.9463765442371368,
+ "epoch": 3.7937384898710866,
+ "grad_norm": 0.9030149579048157,
+ "learning_rate": 7.319466330348797e-05,
+ "loss": 0.035877206921577455,
+ "mean_token_accuracy": 0.9863968968391419,
+ "num_tokens": 42322670.0,
+ "step": 2060
+ },
+ {
+ "entropy": 0.9942441761493683,
+ "epoch": 3.8121546961325965,
+ "grad_norm": 0.6400449275970459,
+ "learning_rate": 7.292444907892587e-05,
+ "loss": 0.037310433387756345,
+ "mean_token_accuracy": 0.9854151606559753,
+ "num_tokens": 42527752.0,
+ "step": 2070
+ },
+ {
+ "entropy": 0.9577703952789307,
+ "epoch": 3.830570902394107,
+ "grad_norm": 0.6193167567253113,
+ "learning_rate": 7.265338443207387e-05,
+ "loss": 0.03648848831653595,
+ "mean_token_accuracy": 0.9856530070304871,
+ "num_tokens": 42732981.0,
+ "step": 2080
+ },
+ {
+ "entropy": 0.9663952767848969,
+ "epoch": 3.848987108655617,
+ "grad_norm": 0.759611189365387,
+ "learning_rate": 7.238147941854625e-05,
+ "loss": 0.036112996935844424,
+ "mean_token_accuracy": 0.9862765550613404,
+ "num_tokens": 42938619.0,
+ "step": 2090
+ },
+ {
+ "entropy": 0.9484863519668579,
+ "epoch": 3.867403314917127,
+ "grad_norm": 0.7420705556869507,
+ "learning_rate": 7.210874412513218e-05,
+ "loss": 0.03703283965587616,
+ "mean_token_accuracy": 0.9857317566871643,
+ "num_tokens": 43143753.0,
+ "step": 2100
+ },
+ {
+ "entropy": 0.964326673746109,
+ "epoch": 3.8858195211786373,
+ "grad_norm": 0.8779639601707458,
+ "learning_rate": 7.183518866942147e-05,
+ "loss": 0.03739701807498932,
+ "mean_token_accuracy": 0.9852154791355133,
+ "num_tokens": 43349451.0,
+ "step": 2110
+ },
+ {
+ "entropy": 0.9729791641235351,
+ "epoch": 3.904235727440147,
+ "grad_norm": 0.7582741379737854,
+ "learning_rate": 7.156082319942929e-05,
+ "loss": 0.03894525766372681,
+ "mean_token_accuracy": 0.9847454309463501,
+ "num_tokens": 43554598.0,
+ "step": 2120
+ },
+ {
+ "entropy": 0.9860592544078827,
+ "epoch": 3.9226519337016574,
+ "grad_norm": 0.860698938369751,
+ "learning_rate": 7.128565789321969e-05,
+ "loss": 0.0365300178527832,
+ "mean_token_accuracy": 0.9859121859073638,
+ "num_tokens": 43760081.0,
+ "step": 2130
+ },
+ {
+ "entropy": 0.9916551172733307,
+ "epoch": 3.9410681399631677,
+ "grad_norm": 0.8363776206970215,
+ "learning_rate": 7.100970295852805e-05,
+ "loss": 0.036221379041671754,
+ "mean_token_accuracy": 0.9859034180641174,
+ "num_tokens": 43965432.0,
+ "step": 2140
+ },
+ {
+ "entropy": 0.9553558886051178,
+ "epoch": 3.9594843462246776,
+ "grad_norm": 0.9627474546432495,
+ "learning_rate": 7.073296863238242e-05,
+ "loss": 0.03684481382369995,
+ "mean_token_accuracy": 0.9857315957546234,
+ "num_tokens": 44171232.0,
+ "step": 2150
+ },
+ {
+ "entropy": 0.9538035809993743,
+ "epoch": 3.977900552486188,
+ "grad_norm": 0.8399474620819092,
+ "learning_rate": 7.045546518072366e-05,
+ "loss": 0.03825397789478302,
+ "mean_token_accuracy": 0.9846831560134888,
+ "num_tokens": 44376723.0,
+ "step": 2160
+ },
+ {
+ "entropy": 0.9476235210895538,
+ "epoch": 3.9963167587476978,
+ "grad_norm": 0.708739697933197,
+ "learning_rate": 7.017720289802472e-05,
+ "loss": 0.03618018329143524,
+ "mean_token_accuracy": 0.9861325800418854,
+ "num_tokens": 44582407.0,
+ "step": 2170
+ },
+ {
+ "epoch": 4.0,
+ "eval_entropy": 0.9569619194321011,
+ "eval_loss": 0.059838198125362396,
+ "eval_mean_token_accuracy": 0.9777795366618944,
+ "eval_num_tokens": 44623647.0,
+ "eval_runtime": 10.0379,
+ "eval_samples_per_second": 364.42,
+ "eval_steps_per_second": 11.457,
+ "step": 2172
+ },
+ {
+ "entropy": 0.9558675646781921,
+ "epoch": 4.014732965009208,
+ "grad_norm": 0.7347508668899536,
+ "learning_rate": 6.989819210690872e-05,
+ "loss": 0.02886659502983093,
+ "mean_token_accuracy": 0.9892994821071625,
+ "num_tokens": 44788219.0,
+ "step": 2180
+ },
+ {
+ "entropy": 1.0037677466869355,
+ "epoch": 4.033149171270718,
+ "grad_norm": 0.7403206825256348,
+ "learning_rate": 6.961844315776596e-05,
+ "loss": 0.02395295798778534,
+ "mean_token_accuracy": 0.9906026899814606,
+ "num_tokens": 44993505.0,
+ "step": 2190
+ },
+ {
+ "entropy": 1.0068290829658508,
+ "epoch": 4.051565377532229,
+ "grad_norm": 0.7979726195335388,
+ "learning_rate": 6.933796642837003e-05,
+ "loss": 0.02605988085269928,
+ "mean_token_accuracy": 0.9899706900119781,
+ "num_tokens": 45199193.0,
+ "step": 2200
+ },
+ {
+ "entropy": 0.9942211747169495,
+ "epoch": 4.069981583793738,
+ "grad_norm": 0.6460402011871338,
+ "learning_rate": 6.905677232349278e-05,
+ "loss": 0.025350230932235717,
+ "mean_token_accuracy": 0.9899386286735534,
+ "num_tokens": 45404030.0,
+ "step": 2210
+ },
+ {
+ "entropy": 0.9783595442771912,
+ "epoch": 4.088397790055248,
+ "grad_norm": 0.8177055716514587,
+ "learning_rate": 6.877487127451834e-05,
+ "loss": 0.02696993052959442,
+ "mean_token_accuracy": 0.9896106541156768,
+ "num_tokens": 45609763.0,
+ "step": 2220
+ },
+ {
+ "entropy": 0.9801763832569123,
+ "epoch": 4.106813996316759,
+ "grad_norm": 0.6608165502548218,
+ "learning_rate": 6.849227373905618e-05,
+ "loss": 0.025101393461227417,
+ "mean_token_accuracy": 0.9904372334480286,
+ "num_tokens": 45814941.0,
+ "step": 2230
+ },
+ {
+ "entropy": 0.9695689737796783,
+ "epoch": 4.125230202578269,
+ "grad_norm": 0.8036547899246216,
+ "learning_rate": 6.820899020055314e-05,
+ "loss": 0.027827343344688414,
+ "mean_token_accuracy": 0.9890337705612182,
+ "num_tokens": 46020535.0,
+ "step": 2240
+ },
+ {
+ "entropy": 0.9828635334968567,
+ "epoch": 4.143646408839779,
+ "grad_norm": 0.7729921936988831,
+ "learning_rate": 6.792503116790455e-05,
+ "loss": 0.02779492735862732,
+ "mean_token_accuracy": 0.9894372522830963,
+ "num_tokens": 46226013.0,
+ "step": 2250
+ },
+ {
+ "entropy": 0.9978842556476593,
+ "epoch": 4.162062615101289,
+ "grad_norm": 0.7334664463996887,
+ "learning_rate": 6.764040717506432e-05,
+ "loss": 0.025673511624336242,
+ "mean_token_accuracy": 0.9899355113506317,
+ "num_tokens": 46432087.0,
+ "step": 2260
+ },
+ {
+ "entropy": 1.0116403937339782,
+ "epoch": 4.180478821362799,
+ "grad_norm": 0.6769368052482605,
+ "learning_rate": 6.735512878065427e-05,
+ "loss": 0.024705511331558228,
+ "mean_token_accuracy": 0.9906128525733948,
+ "num_tokens": 46637478.0,
+ "step": 2270
+ },
+ {
+ "entropy": 0.9985016226768494,
+ "epoch": 4.198895027624309,
+ "grad_norm": 0.8301573991775513,
+ "learning_rate": 6.706920656757234e-05,
+ "loss": 0.02455987185239792,
+ "mean_token_accuracy": 0.9905728340148926,
+ "num_tokens": 46842562.0,
+ "step": 2280
+ },
+ {
+ "entropy": 0.9909430682659149,
+ "epoch": 4.21731123388582,
+ "grad_norm": 0.656026303768158,
+ "learning_rate": 6.67826511426001e-05,
+ "loss": 0.022711564600467683,
+ "mean_token_accuracy": 0.9910893619060517,
+ "num_tokens": 47048071.0,
+ "step": 2290
+ },
+ {
+ "entropy": 0.9868666052818298,
+ "epoch": 4.23572744014733,
+ "grad_norm": 0.7614991068840027,
+ "learning_rate": 6.649547313600916e-05,
+ "loss": 0.02453812211751938,
+ "mean_token_accuracy": 0.9908901154994965,
+ "num_tokens": 47253507.0,
+ "step": 2300
+ },
+ {
+ "entropy": 0.9870487153530121,
+ "epoch": 4.25414364640884,
+ "grad_norm": 0.7617276906967163,
+ "learning_rate": 6.62076832011669e-05,
+ "loss": 0.025818097591400146,
+ "mean_token_accuracy": 0.990347957611084,
+ "num_tokens": 47458747.0,
+ "step": 2310
+ },
+ {
+ "entropy": 0.9691080570220947,
+ "epoch": 4.27255985267035,
+ "grad_norm": 0.6743029952049255,
+ "learning_rate": 6.591929201414124e-05,
+ "loss": 0.02456912100315094,
+ "mean_token_accuracy": 0.9905289709568024,
+ "num_tokens": 47663643.0,
+ "step": 2320
+ },
+ {
+ "entropy": 0.9701108932495117,
+ "epoch": 4.29097605893186,
+ "grad_norm": 0.6964483261108398,
+ "learning_rate": 6.56303102733046e-05,
+ "loss": 0.02575681209564209,
+ "mean_token_accuracy": 0.9898503363132477,
+ "num_tokens": 47868982.0,
+ "step": 2330
+ },
+ {
+ "entropy": 0.969528192281723,
+ "epoch": 4.30939226519337,
+ "grad_norm": 0.7521987557411194,
+ "learning_rate": 6.5340748698937e-05,
+ "loss": 0.02678089737892151,
+ "mean_token_accuracy": 0.9898572087287902,
+ "num_tokens": 48074314.0,
+ "step": 2340
+ },
+ {
+ "entropy": 0.9921871721744537,
+ "epoch": 4.327808471454881,
+ "grad_norm": 0.6944513320922852,
+ "learning_rate": 6.505061803282844e-05,
+ "loss": 0.025553321838378905,
+ "mean_token_accuracy": 0.9907529592514038,
+ "num_tokens": 48279731.0,
+ "step": 2350
+ },
+ {
+ "entropy": 0.9768964886665344,
+ "epoch": 4.346224677716391,
+ "grad_norm": 0.6553092002868652,
+ "learning_rate": 6.47599290378803e-05,
+ "loss": 0.0250235915184021,
+ "mean_token_accuracy": 0.9904054701328278,
+ "num_tokens": 48485401.0,
+ "step": 2360
+ },
+ {
+ "entropy": 0.9612838506698609,
+ "epoch": 4.3646408839779,
+ "grad_norm": 0.916820228099823,
+ "learning_rate": 6.446869249770619e-05,
+ "loss": 0.028156182169914244,
+ "mean_token_accuracy": 0.9888657331466675,
+ "num_tokens": 48691047.0,
+ "step": 2370
+ },
+ {
+ "entropy": 0.9665832936763763,
+ "epoch": 4.383057090239411,
+ "grad_norm": 0.9197776913642883,
+ "learning_rate": 6.417691921623185e-05,
+ "loss": 0.025303921103477477,
+ "mean_token_accuracy": 0.989986252784729,
+ "num_tokens": 48896234.0,
+ "step": 2380
+ },
+ {
+ "entropy": 0.9686589121818543,
+ "epoch": 4.401473296500921,
+ "grad_norm": 0.8505764603614807,
+ "learning_rate": 6.388462001729434e-05,
+ "loss": 0.024816396832466125,
+ "mean_token_accuracy": 0.9909265041351318,
+ "num_tokens": 49101893.0,
+ "step": 2390
+ },
+ {
+ "entropy": 0.9625210344791413,
+ "epoch": 4.419889502762431,
+ "grad_norm": 1.0601766109466553,
+ "learning_rate": 6.359180574424062e-05,
+ "loss": 0.02706078290939331,
+ "mean_token_accuracy": 0.9895522117614746,
+ "num_tokens": 49307467.0,
+ "step": 2400
+ },
+ {
+ "entropy": 0.9679551541805267,
+ "epoch": 4.4383057090239415,
+ "grad_norm": 0.776253879070282,
+ "learning_rate": 6.329848725952514e-05,
+ "loss": 0.02693203091621399,
+ "mean_token_accuracy": 0.9893981635570526,
+ "num_tokens": 49513020.0,
+ "step": 2410
+ },
+ {
+ "entropy": 0.9704959928989411,
+ "epoch": 4.456721915285451,
+ "grad_norm": 0.5459668636322021,
+ "learning_rate": 6.3004675444307e-05,
+ "loss": 0.0279473751783371,
+ "mean_token_accuracy": 0.9894329369068146,
+ "num_tokens": 49718405.0,
+ "step": 2420
+ },
+ {
+ "entropy": 0.961863350868225,
+ "epoch": 4.475138121546961,
+ "grad_norm": 0.9338833093643188,
+ "learning_rate": 6.27103811980462e-05,
+ "loss": 0.026478803157806395,
+ "mean_token_accuracy": 0.9902269721031189,
+ "num_tokens": 49923375.0,
+ "step": 2430
+ },
+ {
+ "entropy": 0.9708506822586059,
+ "epoch": 4.4935543278084715,
+ "grad_norm": 0.9073707461357117,
+ "learning_rate": 6.241561543809947e-05,
+ "loss": 0.025289520621299744,
+ "mean_token_accuracy": 0.9904769957065582,
+ "num_tokens": 50128901.0,
+ "step": 2440
+ },
+ {
+ "entropy": 0.984996622800827,
+ "epoch": 4.511970534069982,
+ "grad_norm": 0.8674206733703613,
+ "learning_rate": 6.212038909931503e-05,
+ "loss": 0.026442551612854005,
+ "mean_token_accuracy": 0.9905101835727692,
+ "num_tokens": 50334449.0,
+ "step": 2450
+ },
+ {
+ "entropy": 0.9926377475261688,
+ "epoch": 4.530386740331492,
+ "grad_norm": 0.7571811079978943,
+ "learning_rate": 6.182471313362717e-05,
+ "loss": 0.026819539070129395,
+ "mean_token_accuracy": 0.9898989200592041,
+ "num_tokens": 50539597.0,
+ "step": 2460
+ },
+ {
+ "entropy": 0.9450563549995422,
+ "epoch": 4.5488029465930016,
+ "grad_norm": 0.6651087403297424,
+ "learning_rate": 6.15285985096498e-05,
+ "loss": 0.02665227949619293,
+ "mean_token_accuracy": 0.9897156655788422,
+ "num_tokens": 50744926.0,
+ "step": 2470
+ },
+ {
+ "entropy": 0.9715635657310486,
+ "epoch": 4.567219152854512,
+ "grad_norm": 0.7445545196533203,
+ "learning_rate": 6.12320562122697e-05,
+ "loss": 0.026212453842163086,
+ "mean_token_accuracy": 0.9904700636863708,
+ "num_tokens": 50950152.0,
+ "step": 2480
+ },
+ {
+ "entropy": 0.9613442063331604,
+ "epoch": 4.585635359116022,
+ "grad_norm": 0.7168459296226501,
+ "learning_rate": 6.0935097242238837e-05,
+ "loss": 0.02508128583431244,
+ "mean_token_accuracy": 0.9901923894882202,
+ "num_tokens": 51155430.0,
+ "step": 2490
+ },
+ {
+ "entropy": 0.9571944534778595,
+ "epoch": 4.6040515653775325,
+ "grad_norm": 0.7590732574462891,
+ "learning_rate": 6.063773261576646e-05,
+ "loss": 0.025445500016212465,
+ "mean_token_accuracy": 0.9902949810028077,
+ "num_tokens": 51360826.0,
+ "step": 2500
+ },
+ {
+ "entropy": 0.947079461812973,
+ "epoch": 4.622467771639043,
+ "grad_norm": 0.6942175030708313,
+ "learning_rate": 6.033997336411035e-05,
+ "loss": 0.026132801175117494,
+ "mean_token_accuracy": 0.9900939345359803,
+ "num_tokens": 51566095.0,
+ "step": 2510
+ },
+ {
+ "entropy": 0.970003741979599,
+ "epoch": 4.640883977900552,
+ "grad_norm": 0.6562672257423401,
+ "learning_rate": 6.00418305331675e-05,
+ "loss": 0.024759869277477264,
+ "mean_token_accuracy": 0.9905019223690033,
+ "num_tokens": 51771177.0,
+ "step": 2520
+ },
+ {
+ "entropy": 0.9715348601341247,
+ "epoch": 4.6593001841620625,
+ "grad_norm": 0.6151639819145203,
+ "learning_rate": 5.9743315183064564e-05,
+ "loss": 0.024138522148132325,
+ "mean_token_accuracy": 0.9910101473331452,
+ "num_tokens": 51976349.0,
+ "step": 2530
+ },
+ {
+ "entropy": 0.9552160143852234,
+ "epoch": 4.677716390423573,
+ "grad_norm": 0.968815267086029,
+ "learning_rate": 5.9444438387747336e-05,
+ "loss": 0.027274739742279053,
+ "mean_token_accuracy": 0.9896075248718261,
+ "num_tokens": 52181820.0,
+ "step": 2540
+ },
+ {
+ "entropy": 0.9265012145042419,
+ "epoch": 4.696132596685083,
+ "grad_norm": 0.8966720700263977,
+ "learning_rate": 5.914521123457015e-05,
+ "loss": 0.0291823148727417,
+ "mean_token_accuracy": 0.9886700630187988,
+ "num_tokens": 52387511.0,
+ "step": 2550
+ },
+ {
+ "entropy": 0.9156096875667572,
+ "epoch": 4.714548802946593,
+ "grad_norm": 0.7747519612312317,
+ "learning_rate": 5.88456448238844e-05,
+ "loss": 0.02809179127216339,
+ "mean_token_accuracy": 0.9891100466251374,
+ "num_tokens": 52592737.0,
+ "step": 2560
+ },
+ {
+ "entropy": 0.924511456489563,
+ "epoch": 4.732965009208103,
+ "grad_norm": 1.0087049007415771,
+ "learning_rate": 5.8545750268626844e-05,
+ "loss": 0.02683232128620148,
+ "mean_token_accuracy": 0.9896528899669648,
+ "num_tokens": 52798814.0,
+ "step": 2570
+ },
+ {
+ "entropy": 0.9662951111793519,
+ "epoch": 4.751381215469613,
+ "grad_norm": 0.7709590792655945,
+ "learning_rate": 5.824553869390734e-05,
+ "loss": 0.02503817081451416,
+ "mean_token_accuracy": 0.9900161385536194,
+ "num_tokens": 53004478.0,
+ "step": 2580
+ },
+ {
+ "entropy": 0.9889141619205475,
+ "epoch": 4.769797421731123,
+ "grad_norm": 0.815858006477356,
+ "learning_rate": 5.794502123659613e-05,
+ "loss": 0.026327347755432128,
+ "mean_token_accuracy": 0.9900785744190216,
+ "num_tokens": 53209888.0,
+ "step": 2590
+ },
+ {
+ "entropy": 0.9785685896873474,
+ "epoch": 4.788213627992634,
+ "grad_norm": 0.6514431238174438,
+ "learning_rate": 5.7644209044910735e-05,
+ "loss": 0.025033789873123168,
+ "mean_token_accuracy": 0.9902650475502014,
+ "num_tokens": 53415533.0,
+ "step": 2600
+ },
+ {
+ "entropy": 0.9723869919776916,
+ "epoch": 4.806629834254144,
+ "grad_norm": 0.8778963685035706,
+ "learning_rate": 5.7343113278002284e-05,
+ "loss": 0.02379843294620514,
+ "mean_token_accuracy": 0.9909472465515137,
+ "num_tokens": 53620850.0,
+ "step": 2610
+ },
+ {
+ "entropy": 0.9572711050510406,
+ "epoch": 4.8250460405156534,
+ "grad_norm": 0.8927134871482849,
+ "learning_rate": 5.70417451055417e-05,
+ "loss": 0.024856947362422943,
+ "mean_token_accuracy": 0.9904125213623047,
+ "num_tokens": 53826259.0,
+ "step": 2620
+ },
+ {
+ "entropy": 0.9523135125637054,
+ "epoch": 4.843462246777164,
+ "grad_norm": 0.6832691431045532,
+ "learning_rate": 5.674011570730523e-05,
+ "loss": 0.025352203845977785,
+ "mean_token_accuracy": 0.990432596206665,
+ "num_tokens": 54031531.0,
+ "step": 2630
+ },
+ {
+ "entropy": 0.9735220730304718,
+ "epoch": 4.861878453038674,
+ "grad_norm": 0.6399164795875549,
+ "learning_rate": 5.643823627275972e-05,
+ "loss": 0.026541513204574586,
+ "mean_token_accuracy": 0.9900369107723236,
+ "num_tokens": 54237155.0,
+ "step": 2640
+ },
+ {
+ "entropy": 0.9566517114639282,
+ "epoch": 4.880294659300184,
+ "grad_norm": 0.8725414276123047,
+ "learning_rate": 5.6136118000647616e-05,
+ "loss": 0.02675778865814209,
+ "mean_token_accuracy": 0.9894899427890778,
+ "num_tokens": 54442739.0,
+ "step": 2650
+ },
+ {
+ "entropy": 0.9447909593582153,
+ "epoch": 4.898710865561695,
+ "grad_norm": 0.8169302344322205,
+ "learning_rate": 5.583377209857138e-05,
+ "loss": 0.02642086148262024,
+ "mean_token_accuracy": 0.989885401725769,
+ "num_tokens": 54648098.0,
+ "step": 2660
+ },
+ {
+ "entropy": 0.9180052697658538,
+ "epoch": 4.917127071823204,
+ "grad_norm": 0.7768753170967102,
+ "learning_rate": 5.553120978257787e-05,
+ "loss": 0.02552323341369629,
+ "mean_token_accuracy": 0.9899512350559234,
+ "num_tokens": 54854281.0,
+ "step": 2670
+ },
+ {
+ "entropy": 0.917166668176651,
+ "epoch": 4.935543278084714,
+ "grad_norm": 0.8241410851478577,
+ "learning_rate": 5.5228442276742153e-05,
+ "loss": 0.02788199484348297,
+ "mean_token_accuracy": 0.989625746011734,
+ "num_tokens": 55059495.0,
+ "step": 2680
+ },
+ {
+ "entropy": 0.9345465302467346,
+ "epoch": 4.953959484346225,
+ "grad_norm": 0.7645496129989624,
+ "learning_rate": 5.4925480812751166e-05,
+ "loss": 0.02517639398574829,
+ "mean_token_accuracy": 0.9902283847332001,
+ "num_tokens": 55265381.0,
+ "step": 2690
+ },
+ {
+ "entropy": 0.9386432528495788,
+ "epoch": 4.972375690607735,
+ "grad_norm": 0.8371859192848206,
+ "learning_rate": 5.46223366294871e-05,
+ "loss": 0.025585666298866272,
+ "mean_token_accuracy": 0.9903791427612305,
+ "num_tokens": 55471210.0,
+ "step": 2700
+ },
+ {
+ "entropy": 0.9267561137676239,
+ "epoch": 4.990791896869245,
+ "grad_norm": 0.6789297461509705,
+ "learning_rate": 5.43190209726104e-05,
+ "loss": 0.024646708369255067,
+ "mean_token_accuracy": 0.9904700815677643,
+ "num_tokens": 55676877.0,
+ "step": 2710
+ },
+ {
+ "epoch": 5.0,
+ "eval_entropy": 0.9283919717954553,
+ "eval_loss": 0.06225527077913284,
+ "eval_mean_token_accuracy": 0.9784110421719758,
+ "eval_num_tokens": 55779559.0,
+ "eval_runtime": 10.0613,
+ "eval_samples_per_second": 363.573,
+ "eval_steps_per_second": 11.43,
+ "step": 2715
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 2.6591019550449336e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-2715/training_args.bin b/checkpoint-2715/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-2715/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-3258/README.md b/checkpoint-3258/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-3258/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-3258/adapter_config.json b/checkpoint-3258/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-3258/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-3258/adapter_model.safetensors b/checkpoint-3258/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..f27b00c4d6100a9fc71d7adbdda5f5139ea7b293
--- /dev/null
+++ b/checkpoint-3258/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:342d90add5af5dfae9087ea9a560f86a7ebd48116022794da4d371303756af39
+size 80792096
diff --git a/checkpoint-3258/chat_template.jinja b/checkpoint-3258/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-3258/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-3258/tokenizer.json b/checkpoint-3258/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-3258/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-3258/tokenizer_config.json b/checkpoint-3258/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-3258/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-3258/trainer_state.json b/checkpoint-3258/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..e6fc06294443d3496db256d8e7637f81727d006b
--- /dev/null
+++ b/checkpoint-3258/trainer_state.json
@@ -0,0 +1,3350 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 6.0,
+ "eval_steps": 500,
+ "global_step": 3258,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ },
+ {
+ "entropy": 0.9337226033210755,
+ "epoch": 3.001841620626151,
+ "grad_norm": 0.646203875541687,
+ "learning_rate": 8.387233236315016e-05,
+ "loss": 0.043352216482162476,
+ "mean_token_accuracy": 0.9830620110034942,
+ "num_tokens": 33488302.0,
+ "step": 1630
+ },
+ {
+ "entropy": 0.9734923839569092,
+ "epoch": 3.020257826887661,
+ "grad_norm": 0.7564226984977722,
+ "learning_rate": 8.364769739484416e-05,
+ "loss": 0.033932483196258544,
+ "mean_token_accuracy": 0.9872806966304779,
+ "num_tokens": 33693531.0,
+ "step": 1640
+ },
+ {
+ "entropy": 0.9669206500053406,
+ "epoch": 3.0386740331491713,
+ "grad_norm": 0.7126886248588562,
+ "learning_rate": 8.342181420671096e-05,
+ "loss": 0.03818287253379822,
+ "mean_token_accuracy": 0.9852082908153534,
+ "num_tokens": 33899305.0,
+ "step": 1650
+ },
+ {
+ "entropy": 0.9522916138172149,
+ "epoch": 3.0570902394106816,
+ "grad_norm": 1.0571653842926025,
+ "learning_rate": 8.319469117828007e-05,
+ "loss": 0.03456039130687714,
+ "mean_token_accuracy": 0.9867027878761292,
+ "num_tokens": 34104585.0,
+ "step": 1660
+ },
+ {
+ "entropy": 0.9568560004234314,
+ "epoch": 3.0755064456721914,
+ "grad_norm": 0.780940592288971,
+ "learning_rate": 8.296633673507505e-05,
+ "loss": 0.03551802039146423,
+ "mean_token_accuracy": 0.9867531359195709,
+ "num_tokens": 34309516.0,
+ "step": 1670
+ },
+ {
+ "entropy": 0.9590656876564025,
+ "epoch": 3.0939226519337018,
+ "grad_norm": 0.8330219388008118,
+ "learning_rate": 8.273675934830094e-05,
+ "loss": 0.03674865961074829,
+ "mean_token_accuracy": 0.9864118576049805,
+ "num_tokens": 34515170.0,
+ "step": 1680
+ },
+ {
+ "entropy": 0.975881814956665,
+ "epoch": 3.1123388581952116,
+ "grad_norm": 0.7010637521743774,
+ "learning_rate": 8.250596753453e-05,
+ "loss": 0.03550414443016052,
+ "mean_token_accuracy": 0.9864102602005005,
+ "num_tokens": 34720896.0,
+ "step": 1690
+ },
+ {
+ "entropy": 0.9599562883377075,
+ "epoch": 3.130755064456722,
+ "grad_norm": 0.6694278717041016,
+ "learning_rate": 8.227396985538578e-05,
+ "loss": 0.035564273595809937,
+ "mean_token_accuracy": 0.9867321848869324,
+ "num_tokens": 34925970.0,
+ "step": 1700
+ },
+ {
+ "entropy": 0.9582216143608093,
+ "epoch": 3.149171270718232,
+ "grad_norm": 0.9333199262619019,
+ "learning_rate": 8.204077491722546e-05,
+ "loss": 0.035575729608535764,
+ "mean_token_accuracy": 0.9862452208995819,
+ "num_tokens": 35131543.0,
+ "step": 1710
+ },
+ {
+ "entropy": 0.9579678058624268,
+ "epoch": 3.167587476979742,
+ "grad_norm": 0.9450218081474304,
+ "learning_rate": 8.180639137082066e-05,
+ "loss": 0.0385298490524292,
+ "mean_token_accuracy": 0.98538036942482,
+ "num_tokens": 35336790.0,
+ "step": 1720
+ },
+ {
+ "entropy": 0.9640831351280212,
+ "epoch": 3.1860036832412524,
+ "grad_norm": 0.8551534414291382,
+ "learning_rate": 8.157082791103649e-05,
+ "loss": 0.03702138364315033,
+ "mean_token_accuracy": 0.9852015495300293,
+ "num_tokens": 35542294.0,
+ "step": 1730
+ },
+ {
+ "entropy": 0.9867071211338043,
+ "epoch": 3.2044198895027622,
+ "grad_norm": 0.7138128876686096,
+ "learning_rate": 8.133409327650897e-05,
+ "loss": 0.035626694560050964,
+ "mean_token_accuracy": 0.986064875125885,
+ "num_tokens": 35747447.0,
+ "step": 1740
+ },
+ {
+ "entropy": 0.9639089345932007,
+ "epoch": 3.2228360957642725,
+ "grad_norm": 0.7131415009498596,
+ "learning_rate": 8.109619624932092e-05,
+ "loss": 0.035885071754455565,
+ "mean_token_accuracy": 0.986273056268692,
+ "num_tokens": 35952258.0,
+ "step": 1750
+ },
+ {
+ "entropy": 0.9516046345233917,
+ "epoch": 3.241252302025783,
+ "grad_norm": 0.6900200843811035,
+ "learning_rate": 8.085714565467611e-05,
+ "loss": 0.03535219430923462,
+ "mean_token_accuracy": 0.985836285352707,
+ "num_tokens": 36157938.0,
+ "step": 1760
+ },
+ {
+ "entropy": 0.9373646557331086,
+ "epoch": 3.2596685082872927,
+ "grad_norm": 0.6101690530776978,
+ "learning_rate": 8.061695036057191e-05,
+ "loss": 0.034940996766090394,
+ "mean_token_accuracy": 0.9863743901252746,
+ "num_tokens": 36363825.0,
+ "step": 1770
+ },
+ {
+ "entropy": 0.9444344758987426,
+ "epoch": 3.278084714548803,
+ "grad_norm": 0.7518529295921326,
+ "learning_rate": 8.03756192774703e-05,
+ "loss": 0.03404279053211212,
+ "mean_token_accuracy": 0.9866396844387054,
+ "num_tokens": 36568961.0,
+ "step": 1780
+ },
+ {
+ "entropy": 0.9550357758998871,
+ "epoch": 3.2965009208103133,
+ "grad_norm": 0.7687555551528931,
+ "learning_rate": 8.013316135796734e-05,
+ "loss": 0.038447052240371704,
+ "mean_token_accuracy": 0.985325163602829,
+ "num_tokens": 36774514.0,
+ "step": 1790
+ },
+ {
+ "entropy": 0.9477231681346894,
+ "epoch": 3.314917127071823,
+ "grad_norm": 0.7521633505821228,
+ "learning_rate": 7.988958559646102e-05,
+ "loss": 0.03746694028377533,
+ "mean_token_accuracy": 0.9853165090084076,
+ "num_tokens": 36979660.0,
+ "step": 1800
+ },
+ {
+ "entropy": 0.925805002450943,
+ "epoch": 3.3333333333333335,
+ "grad_norm": 0.9333297610282898,
+ "learning_rate": 7.964490102881768e-05,
+ "loss": 0.03700103759765625,
+ "mean_token_accuracy": 0.9850880861282348,
+ "num_tokens": 37185191.0,
+ "step": 1810
+ },
+ {
+ "entropy": 0.9225482225418091,
+ "epoch": 3.3517495395948433,
+ "grad_norm": 0.7928622961044312,
+ "learning_rate": 7.939911673203665e-05,
+ "loss": 0.03825801610946655,
+ "mean_token_accuracy": 0.9850241422653199,
+ "num_tokens": 37390749.0,
+ "step": 1820
+ },
+ {
+ "entropy": 0.9597147881984711,
+ "epoch": 3.3701657458563536,
+ "grad_norm": 0.7658583521842957,
+ "learning_rate": 7.915224182391375e-05,
+ "loss": 0.039855146408081056,
+ "mean_token_accuracy": 0.9845879554748536,
+ "num_tokens": 37596052.0,
+ "step": 1830
+ },
+ {
+ "entropy": 0.9485619068145752,
+ "epoch": 3.388581952117864,
+ "grad_norm": 0.8492130637168884,
+ "learning_rate": 7.890428546270278e-05,
+ "loss": 0.039359599351882935,
+ "mean_token_accuracy": 0.9847265422344208,
+ "num_tokens": 37802063.0,
+ "step": 1840
+ },
+ {
+ "entropy": 0.9670301914215088,
+ "epoch": 3.406998158379374,
+ "grad_norm": 0.7527599930763245,
+ "learning_rate": 7.865525684677608e-05,
+ "loss": 0.03752985596656799,
+ "mean_token_accuracy": 0.9855137526988983,
+ "num_tokens": 38007432.0,
+ "step": 1850
+ },
+ {
+ "entropy": 0.9681244969367981,
+ "epoch": 3.425414364640884,
+ "grad_norm": 0.7599612474441528,
+ "learning_rate": 7.840516521428303e-05,
+ "loss": 0.03653894364833832,
+ "mean_token_accuracy": 0.9858933389186859,
+ "num_tokens": 38212923.0,
+ "step": 1860
+ },
+ {
+ "entropy": 0.9706049561500549,
+ "epoch": 3.443830570902394,
+ "grad_norm": 0.7678127884864807,
+ "learning_rate": 7.815401984280748e-05,
+ "loss": 0.0366938978433609,
+ "mean_token_accuracy": 0.9854713797569274,
+ "num_tokens": 38418422.0,
+ "step": 1870
+ },
+ {
+ "entropy": 0.9637093842029572,
+ "epoch": 3.4622467771639043,
+ "grad_norm": 0.762824535369873,
+ "learning_rate": 7.790183004902359e-05,
+ "loss": 0.03516915142536163,
+ "mean_token_accuracy": 0.9866003453731537,
+ "num_tokens": 38624389.0,
+ "step": 1880
+ },
+ {
+ "entropy": 0.9373565018177032,
+ "epoch": 3.4806629834254146,
+ "grad_norm": 0.8221780061721802,
+ "learning_rate": 7.764860518835014e-05,
+ "loss": 0.04049026966094971,
+ "mean_token_accuracy": 0.984089481830597,
+ "num_tokens": 38829654.0,
+ "step": 1890
+ },
+ {
+ "entropy": 0.9356025457382202,
+ "epoch": 3.4990791896869244,
+ "grad_norm": 0.7583426237106323,
+ "learning_rate": 7.739435465460356e-05,
+ "loss": 0.03658481240272522,
+ "mean_token_accuracy": 0.9857318818569183,
+ "num_tokens": 39034638.0,
+ "step": 1900
+ },
+ {
+ "entropy": 0.9740163326263428,
+ "epoch": 3.5174953959484347,
+ "grad_norm": 0.7332878112792969,
+ "learning_rate": 7.713908787964937e-05,
+ "loss": 0.03508963882923126,
+ "mean_token_accuracy": 0.9863419532775879,
+ "num_tokens": 39240265.0,
+ "step": 1910
+ },
+ {
+ "entropy": 0.9528286933898926,
+ "epoch": 3.5359116022099446,
+ "grad_norm": 0.6515451669692993,
+ "learning_rate": 7.688281433305233e-05,
+ "loss": 0.036055779457092284,
+ "mean_token_accuracy": 0.9860979080200195,
+ "num_tokens": 39445546.0,
+ "step": 1920
+ },
+ {
+ "entropy": 0.9480705261230469,
+ "epoch": 3.554327808471455,
+ "grad_norm": 0.7725827097892761,
+ "learning_rate": 7.662554352172515e-05,
+ "loss": 0.037101513147354125,
+ "mean_token_accuracy": 0.985782790184021,
+ "num_tokens": 39651078.0,
+ "step": 1930
+ },
+ {
+ "entropy": 0.9655321061611175,
+ "epoch": 3.572744014732965,
+ "grad_norm": 0.7756506204605103,
+ "learning_rate": 7.636728498957581e-05,
+ "loss": 0.03721855878829956,
+ "mean_token_accuracy": 0.9857951939105988,
+ "num_tokens": 39856542.0,
+ "step": 1940
+ },
+ {
+ "entropy": 0.9772682309150695,
+ "epoch": 3.591160220994475,
+ "grad_norm": 0.9084987640380859,
+ "learning_rate": 7.610804831715355e-05,
+ "loss": 0.03570749163627625,
+ "mean_token_accuracy": 0.9863450109958649,
+ "num_tokens": 40061913.0,
+ "step": 1950
+ },
+ {
+ "entropy": 0.9579685389995575,
+ "epoch": 3.6095764272559854,
+ "grad_norm": 0.6358487606048584,
+ "learning_rate": 7.584784312129334e-05,
+ "loss": 0.038210684061050416,
+ "mean_token_accuracy": 0.9850837290287018,
+ "num_tokens": 40267398.0,
+ "step": 1960
+ },
+ {
+ "entropy": 0.9605201721191406,
+ "epoch": 3.6279926335174952,
+ "grad_norm": 0.6263149976730347,
+ "learning_rate": 7.558667905475927e-05,
+ "loss": 0.03509160876274109,
+ "mean_token_accuracy": 0.9868143379688263,
+ "num_tokens": 40472827.0,
+ "step": 1970
+ },
+ {
+ "entropy": 0.964026153087616,
+ "epoch": 3.6464088397790055,
+ "grad_norm": 0.90068119764328,
+ "learning_rate": 7.532456580588638e-05,
+ "loss": 0.036211782693862916,
+ "mean_token_accuracy": 0.9858468770980835,
+ "num_tokens": 40677935.0,
+ "step": 1980
+ },
+ {
+ "entropy": 0.9494135618209839,
+ "epoch": 3.664825046040516,
+ "grad_norm": 0.760134756565094,
+ "learning_rate": 7.50615130982213e-05,
+ "loss": 0.03786201477050781,
+ "mean_token_accuracy": 0.9852500438690186,
+ "num_tokens": 40883750.0,
+ "step": 1990
+ },
+ {
+ "entropy": 0.9527071297168732,
+ "epoch": 3.6832412523020257,
+ "grad_norm": 0.9812107682228088,
+ "learning_rate": 7.479753069016152e-05,
+ "loss": 0.03803159594535828,
+ "mean_token_accuracy": 0.9852405369281769,
+ "num_tokens": 41089115.0,
+ "step": 2000
+ },
+ {
+ "entropy": 0.9639330863952636,
+ "epoch": 3.701657458563536,
+ "grad_norm": 0.7164933681488037,
+ "learning_rate": 7.453262837459332e-05,
+ "loss": 0.03912568986415863,
+ "mean_token_accuracy": 0.9849458575248718,
+ "num_tokens": 41294694.0,
+ "step": 2010
+ },
+ {
+ "entropy": 0.9536987483501435,
+ "epoch": 3.720073664825046,
+ "grad_norm": 0.6804596185684204,
+ "learning_rate": 7.426681597852863e-05,
+ "loss": 0.036410006880760196,
+ "mean_token_accuracy": 0.985712206363678,
+ "num_tokens": 41499817.0,
+ "step": 2020
+ },
+ {
+ "entropy": 0.9478164672851562,
+ "epoch": 3.738489871086556,
+ "grad_norm": 0.8799397349357605,
+ "learning_rate": 7.400010336274037e-05,
+ "loss": 0.03801035583019256,
+ "mean_token_accuracy": 0.9850274682044983,
+ "num_tokens": 41704932.0,
+ "step": 2030
+ },
+ {
+ "entropy": 0.9383447647094727,
+ "epoch": 3.7569060773480665,
+ "grad_norm": 0.8386216163635254,
+ "learning_rate": 7.373250042139664e-05,
+ "loss": 0.0373637855052948,
+ "mean_token_accuracy": 0.9854822158813477,
+ "num_tokens": 41910804.0,
+ "step": 2040
+ },
+ {
+ "entropy": 0.925172996520996,
+ "epoch": 3.7753222836095763,
+ "grad_norm": 0.7599324584007263,
+ "learning_rate": 7.346401708169377e-05,
+ "loss": 0.03585260808467865,
+ "mean_token_accuracy": 0.9860672950744629,
+ "num_tokens": 42116706.0,
+ "step": 2050
+ },
+ {
+ "entropy": 0.9463765442371368,
+ "epoch": 3.7937384898710866,
+ "grad_norm": 0.9030149579048157,
+ "learning_rate": 7.319466330348797e-05,
+ "loss": 0.035877206921577455,
+ "mean_token_accuracy": 0.9863968968391419,
+ "num_tokens": 42322670.0,
+ "step": 2060
+ },
+ {
+ "entropy": 0.9942441761493683,
+ "epoch": 3.8121546961325965,
+ "grad_norm": 0.6400449275970459,
+ "learning_rate": 7.292444907892587e-05,
+ "loss": 0.037310433387756345,
+ "mean_token_accuracy": 0.9854151606559753,
+ "num_tokens": 42527752.0,
+ "step": 2070
+ },
+ {
+ "entropy": 0.9577703952789307,
+ "epoch": 3.830570902394107,
+ "grad_norm": 0.6193167567253113,
+ "learning_rate": 7.265338443207387e-05,
+ "loss": 0.03648848831653595,
+ "mean_token_accuracy": 0.9856530070304871,
+ "num_tokens": 42732981.0,
+ "step": 2080
+ },
+ {
+ "entropy": 0.9663952767848969,
+ "epoch": 3.848987108655617,
+ "grad_norm": 0.759611189365387,
+ "learning_rate": 7.238147941854625e-05,
+ "loss": 0.036112996935844424,
+ "mean_token_accuracy": 0.9862765550613404,
+ "num_tokens": 42938619.0,
+ "step": 2090
+ },
+ {
+ "entropy": 0.9484863519668579,
+ "epoch": 3.867403314917127,
+ "grad_norm": 0.7420705556869507,
+ "learning_rate": 7.210874412513218e-05,
+ "loss": 0.03703283965587616,
+ "mean_token_accuracy": 0.9857317566871643,
+ "num_tokens": 43143753.0,
+ "step": 2100
+ },
+ {
+ "entropy": 0.964326673746109,
+ "epoch": 3.8858195211786373,
+ "grad_norm": 0.8779639601707458,
+ "learning_rate": 7.183518866942147e-05,
+ "loss": 0.03739701807498932,
+ "mean_token_accuracy": 0.9852154791355133,
+ "num_tokens": 43349451.0,
+ "step": 2110
+ },
+ {
+ "entropy": 0.9729791641235351,
+ "epoch": 3.904235727440147,
+ "grad_norm": 0.7582741379737854,
+ "learning_rate": 7.156082319942929e-05,
+ "loss": 0.03894525766372681,
+ "mean_token_accuracy": 0.9847454309463501,
+ "num_tokens": 43554598.0,
+ "step": 2120
+ },
+ {
+ "entropy": 0.9860592544078827,
+ "epoch": 3.9226519337016574,
+ "grad_norm": 0.860698938369751,
+ "learning_rate": 7.128565789321969e-05,
+ "loss": 0.0365300178527832,
+ "mean_token_accuracy": 0.9859121859073638,
+ "num_tokens": 43760081.0,
+ "step": 2130
+ },
+ {
+ "entropy": 0.9916551172733307,
+ "epoch": 3.9410681399631677,
+ "grad_norm": 0.8363776206970215,
+ "learning_rate": 7.100970295852805e-05,
+ "loss": 0.036221379041671754,
+ "mean_token_accuracy": 0.9859034180641174,
+ "num_tokens": 43965432.0,
+ "step": 2140
+ },
+ {
+ "entropy": 0.9553558886051178,
+ "epoch": 3.9594843462246776,
+ "grad_norm": 0.9627474546432495,
+ "learning_rate": 7.073296863238242e-05,
+ "loss": 0.03684481382369995,
+ "mean_token_accuracy": 0.9857315957546234,
+ "num_tokens": 44171232.0,
+ "step": 2150
+ },
+ {
+ "entropy": 0.9538035809993743,
+ "epoch": 3.977900552486188,
+ "grad_norm": 0.8399474620819092,
+ "learning_rate": 7.045546518072366e-05,
+ "loss": 0.03825397789478302,
+ "mean_token_accuracy": 0.9846831560134888,
+ "num_tokens": 44376723.0,
+ "step": 2160
+ },
+ {
+ "entropy": 0.9476235210895538,
+ "epoch": 3.9963167587476978,
+ "grad_norm": 0.708739697933197,
+ "learning_rate": 7.017720289802472e-05,
+ "loss": 0.03618018329143524,
+ "mean_token_accuracy": 0.9861325800418854,
+ "num_tokens": 44582407.0,
+ "step": 2170
+ },
+ {
+ "epoch": 4.0,
+ "eval_entropy": 0.9569619194321011,
+ "eval_loss": 0.059838198125362396,
+ "eval_mean_token_accuracy": 0.9777795366618944,
+ "eval_num_tokens": 44623647.0,
+ "eval_runtime": 10.0379,
+ "eval_samples_per_second": 364.42,
+ "eval_steps_per_second": 11.457,
+ "step": 2172
+ },
+ {
+ "entropy": 0.9558675646781921,
+ "epoch": 4.014732965009208,
+ "grad_norm": 0.7347508668899536,
+ "learning_rate": 6.989819210690872e-05,
+ "loss": 0.02886659502983093,
+ "mean_token_accuracy": 0.9892994821071625,
+ "num_tokens": 44788219.0,
+ "step": 2180
+ },
+ {
+ "entropy": 1.0037677466869355,
+ "epoch": 4.033149171270718,
+ "grad_norm": 0.7403206825256348,
+ "learning_rate": 6.961844315776596e-05,
+ "loss": 0.02395295798778534,
+ "mean_token_accuracy": 0.9906026899814606,
+ "num_tokens": 44993505.0,
+ "step": 2190
+ },
+ {
+ "entropy": 1.0068290829658508,
+ "epoch": 4.051565377532229,
+ "grad_norm": 0.7979726195335388,
+ "learning_rate": 6.933796642837003e-05,
+ "loss": 0.02605988085269928,
+ "mean_token_accuracy": 0.9899706900119781,
+ "num_tokens": 45199193.0,
+ "step": 2200
+ },
+ {
+ "entropy": 0.9942211747169495,
+ "epoch": 4.069981583793738,
+ "grad_norm": 0.6460402011871338,
+ "learning_rate": 6.905677232349278e-05,
+ "loss": 0.025350230932235717,
+ "mean_token_accuracy": 0.9899386286735534,
+ "num_tokens": 45404030.0,
+ "step": 2210
+ },
+ {
+ "entropy": 0.9783595442771912,
+ "epoch": 4.088397790055248,
+ "grad_norm": 0.8177055716514587,
+ "learning_rate": 6.877487127451834e-05,
+ "loss": 0.02696993052959442,
+ "mean_token_accuracy": 0.9896106541156768,
+ "num_tokens": 45609763.0,
+ "step": 2220
+ },
+ {
+ "entropy": 0.9801763832569123,
+ "epoch": 4.106813996316759,
+ "grad_norm": 0.6608165502548218,
+ "learning_rate": 6.849227373905618e-05,
+ "loss": 0.025101393461227417,
+ "mean_token_accuracy": 0.9904372334480286,
+ "num_tokens": 45814941.0,
+ "step": 2230
+ },
+ {
+ "entropy": 0.9695689737796783,
+ "epoch": 4.125230202578269,
+ "grad_norm": 0.8036547899246216,
+ "learning_rate": 6.820899020055314e-05,
+ "loss": 0.027827343344688414,
+ "mean_token_accuracy": 0.9890337705612182,
+ "num_tokens": 46020535.0,
+ "step": 2240
+ },
+ {
+ "entropy": 0.9828635334968567,
+ "epoch": 4.143646408839779,
+ "grad_norm": 0.7729921936988831,
+ "learning_rate": 6.792503116790455e-05,
+ "loss": 0.02779492735862732,
+ "mean_token_accuracy": 0.9894372522830963,
+ "num_tokens": 46226013.0,
+ "step": 2250
+ },
+ {
+ "entropy": 0.9978842556476593,
+ "epoch": 4.162062615101289,
+ "grad_norm": 0.7334664463996887,
+ "learning_rate": 6.764040717506432e-05,
+ "loss": 0.025673511624336242,
+ "mean_token_accuracy": 0.9899355113506317,
+ "num_tokens": 46432087.0,
+ "step": 2260
+ },
+ {
+ "entropy": 1.0116403937339782,
+ "epoch": 4.180478821362799,
+ "grad_norm": 0.6769368052482605,
+ "learning_rate": 6.735512878065427e-05,
+ "loss": 0.024705511331558228,
+ "mean_token_accuracy": 0.9906128525733948,
+ "num_tokens": 46637478.0,
+ "step": 2270
+ },
+ {
+ "entropy": 0.9985016226768494,
+ "epoch": 4.198895027624309,
+ "grad_norm": 0.8301573991775513,
+ "learning_rate": 6.706920656757234e-05,
+ "loss": 0.02455987185239792,
+ "mean_token_accuracy": 0.9905728340148926,
+ "num_tokens": 46842562.0,
+ "step": 2280
+ },
+ {
+ "entropy": 0.9909430682659149,
+ "epoch": 4.21731123388582,
+ "grad_norm": 0.656026303768158,
+ "learning_rate": 6.67826511426001e-05,
+ "loss": 0.022711564600467683,
+ "mean_token_accuracy": 0.9910893619060517,
+ "num_tokens": 47048071.0,
+ "step": 2290
+ },
+ {
+ "entropy": 0.9868666052818298,
+ "epoch": 4.23572744014733,
+ "grad_norm": 0.7614991068840027,
+ "learning_rate": 6.649547313600916e-05,
+ "loss": 0.02453812211751938,
+ "mean_token_accuracy": 0.9908901154994965,
+ "num_tokens": 47253507.0,
+ "step": 2300
+ },
+ {
+ "entropy": 0.9870487153530121,
+ "epoch": 4.25414364640884,
+ "grad_norm": 0.7617276906967163,
+ "learning_rate": 6.62076832011669e-05,
+ "loss": 0.025818097591400146,
+ "mean_token_accuracy": 0.990347957611084,
+ "num_tokens": 47458747.0,
+ "step": 2310
+ },
+ {
+ "entropy": 0.9691080570220947,
+ "epoch": 4.27255985267035,
+ "grad_norm": 0.6743029952049255,
+ "learning_rate": 6.591929201414124e-05,
+ "loss": 0.02456912100315094,
+ "mean_token_accuracy": 0.9905289709568024,
+ "num_tokens": 47663643.0,
+ "step": 2320
+ },
+ {
+ "entropy": 0.9701108932495117,
+ "epoch": 4.29097605893186,
+ "grad_norm": 0.6964483261108398,
+ "learning_rate": 6.56303102733046e-05,
+ "loss": 0.02575681209564209,
+ "mean_token_accuracy": 0.9898503363132477,
+ "num_tokens": 47868982.0,
+ "step": 2330
+ },
+ {
+ "entropy": 0.969528192281723,
+ "epoch": 4.30939226519337,
+ "grad_norm": 0.7521987557411194,
+ "learning_rate": 6.5340748698937e-05,
+ "loss": 0.02678089737892151,
+ "mean_token_accuracy": 0.9898572087287902,
+ "num_tokens": 48074314.0,
+ "step": 2340
+ },
+ {
+ "entropy": 0.9921871721744537,
+ "epoch": 4.327808471454881,
+ "grad_norm": 0.6944513320922852,
+ "learning_rate": 6.505061803282844e-05,
+ "loss": 0.025553321838378905,
+ "mean_token_accuracy": 0.9907529592514038,
+ "num_tokens": 48279731.0,
+ "step": 2350
+ },
+ {
+ "entropy": 0.9768964886665344,
+ "epoch": 4.346224677716391,
+ "grad_norm": 0.6553092002868652,
+ "learning_rate": 6.47599290378803e-05,
+ "loss": 0.0250235915184021,
+ "mean_token_accuracy": 0.9904054701328278,
+ "num_tokens": 48485401.0,
+ "step": 2360
+ },
+ {
+ "entropy": 0.9612838506698609,
+ "epoch": 4.3646408839779,
+ "grad_norm": 0.916820228099823,
+ "learning_rate": 6.446869249770619e-05,
+ "loss": 0.028156182169914244,
+ "mean_token_accuracy": 0.9888657331466675,
+ "num_tokens": 48691047.0,
+ "step": 2370
+ },
+ {
+ "entropy": 0.9665832936763763,
+ "epoch": 4.383057090239411,
+ "grad_norm": 0.9197776913642883,
+ "learning_rate": 6.417691921623185e-05,
+ "loss": 0.025303921103477477,
+ "mean_token_accuracy": 0.989986252784729,
+ "num_tokens": 48896234.0,
+ "step": 2380
+ },
+ {
+ "entropy": 0.9686589121818543,
+ "epoch": 4.401473296500921,
+ "grad_norm": 0.8505764603614807,
+ "learning_rate": 6.388462001729434e-05,
+ "loss": 0.024816396832466125,
+ "mean_token_accuracy": 0.9909265041351318,
+ "num_tokens": 49101893.0,
+ "step": 2390
+ },
+ {
+ "entropy": 0.9625210344791413,
+ "epoch": 4.419889502762431,
+ "grad_norm": 1.0601766109466553,
+ "learning_rate": 6.359180574424062e-05,
+ "loss": 0.02706078290939331,
+ "mean_token_accuracy": 0.9895522117614746,
+ "num_tokens": 49307467.0,
+ "step": 2400
+ },
+ {
+ "entropy": 0.9679551541805267,
+ "epoch": 4.4383057090239415,
+ "grad_norm": 0.776253879070282,
+ "learning_rate": 6.329848725952514e-05,
+ "loss": 0.02693203091621399,
+ "mean_token_accuracy": 0.9893981635570526,
+ "num_tokens": 49513020.0,
+ "step": 2410
+ },
+ {
+ "entropy": 0.9704959928989411,
+ "epoch": 4.456721915285451,
+ "grad_norm": 0.5459668636322021,
+ "learning_rate": 6.3004675444307e-05,
+ "loss": 0.0279473751783371,
+ "mean_token_accuracy": 0.9894329369068146,
+ "num_tokens": 49718405.0,
+ "step": 2420
+ },
+ {
+ "entropy": 0.961863350868225,
+ "epoch": 4.475138121546961,
+ "grad_norm": 0.9338833093643188,
+ "learning_rate": 6.27103811980462e-05,
+ "loss": 0.026478803157806395,
+ "mean_token_accuracy": 0.9902269721031189,
+ "num_tokens": 49923375.0,
+ "step": 2430
+ },
+ {
+ "entropy": 0.9708506822586059,
+ "epoch": 4.4935543278084715,
+ "grad_norm": 0.9073707461357117,
+ "learning_rate": 6.241561543809947e-05,
+ "loss": 0.025289520621299744,
+ "mean_token_accuracy": 0.9904769957065582,
+ "num_tokens": 50128901.0,
+ "step": 2440
+ },
+ {
+ "entropy": 0.984996622800827,
+ "epoch": 4.511970534069982,
+ "grad_norm": 0.8674206733703613,
+ "learning_rate": 6.212038909931503e-05,
+ "loss": 0.026442551612854005,
+ "mean_token_accuracy": 0.9905101835727692,
+ "num_tokens": 50334449.0,
+ "step": 2450
+ },
+ {
+ "entropy": 0.9926377475261688,
+ "epoch": 4.530386740331492,
+ "grad_norm": 0.7571811079978943,
+ "learning_rate": 6.182471313362717e-05,
+ "loss": 0.026819539070129395,
+ "mean_token_accuracy": 0.9898989200592041,
+ "num_tokens": 50539597.0,
+ "step": 2460
+ },
+ {
+ "entropy": 0.9450563549995422,
+ "epoch": 4.5488029465930016,
+ "grad_norm": 0.6651087403297424,
+ "learning_rate": 6.15285985096498e-05,
+ "loss": 0.02665227949619293,
+ "mean_token_accuracy": 0.9897156655788422,
+ "num_tokens": 50744926.0,
+ "step": 2470
+ },
+ {
+ "entropy": 0.9715635657310486,
+ "epoch": 4.567219152854512,
+ "grad_norm": 0.7445545196533203,
+ "learning_rate": 6.12320562122697e-05,
+ "loss": 0.026212453842163086,
+ "mean_token_accuracy": 0.9904700636863708,
+ "num_tokens": 50950152.0,
+ "step": 2480
+ },
+ {
+ "entropy": 0.9613442063331604,
+ "epoch": 4.585635359116022,
+ "grad_norm": 0.7168459296226501,
+ "learning_rate": 6.0935097242238837e-05,
+ "loss": 0.02508128583431244,
+ "mean_token_accuracy": 0.9901923894882202,
+ "num_tokens": 51155430.0,
+ "step": 2490
+ },
+ {
+ "entropy": 0.9571944534778595,
+ "epoch": 4.6040515653775325,
+ "grad_norm": 0.7590732574462891,
+ "learning_rate": 6.063773261576646e-05,
+ "loss": 0.025445500016212465,
+ "mean_token_accuracy": 0.9902949810028077,
+ "num_tokens": 51360826.0,
+ "step": 2500
+ },
+ {
+ "entropy": 0.947079461812973,
+ "epoch": 4.622467771639043,
+ "grad_norm": 0.6942175030708313,
+ "learning_rate": 6.033997336411035e-05,
+ "loss": 0.026132801175117494,
+ "mean_token_accuracy": 0.9900939345359803,
+ "num_tokens": 51566095.0,
+ "step": 2510
+ },
+ {
+ "entropy": 0.970003741979599,
+ "epoch": 4.640883977900552,
+ "grad_norm": 0.6562672257423401,
+ "learning_rate": 6.00418305331675e-05,
+ "loss": 0.024759869277477264,
+ "mean_token_accuracy": 0.9905019223690033,
+ "num_tokens": 51771177.0,
+ "step": 2520
+ },
+ {
+ "entropy": 0.9715348601341247,
+ "epoch": 4.6593001841620625,
+ "grad_norm": 0.6151639819145203,
+ "learning_rate": 5.9743315183064564e-05,
+ "loss": 0.024138522148132325,
+ "mean_token_accuracy": 0.9910101473331452,
+ "num_tokens": 51976349.0,
+ "step": 2530
+ },
+ {
+ "entropy": 0.9552160143852234,
+ "epoch": 4.677716390423573,
+ "grad_norm": 0.968815267086029,
+ "learning_rate": 5.9444438387747336e-05,
+ "loss": 0.027274739742279053,
+ "mean_token_accuracy": 0.9896075248718261,
+ "num_tokens": 52181820.0,
+ "step": 2540
+ },
+ {
+ "entropy": 0.9265012145042419,
+ "epoch": 4.696132596685083,
+ "grad_norm": 0.8966720700263977,
+ "learning_rate": 5.914521123457015e-05,
+ "loss": 0.0291823148727417,
+ "mean_token_accuracy": 0.9886700630187988,
+ "num_tokens": 52387511.0,
+ "step": 2550
+ },
+ {
+ "entropy": 0.9156096875667572,
+ "epoch": 4.714548802946593,
+ "grad_norm": 0.7747519612312317,
+ "learning_rate": 5.88456448238844e-05,
+ "loss": 0.02809179127216339,
+ "mean_token_accuracy": 0.9891100466251374,
+ "num_tokens": 52592737.0,
+ "step": 2560
+ },
+ {
+ "entropy": 0.924511456489563,
+ "epoch": 4.732965009208103,
+ "grad_norm": 1.0087049007415771,
+ "learning_rate": 5.8545750268626844e-05,
+ "loss": 0.02683232128620148,
+ "mean_token_accuracy": 0.9896528899669648,
+ "num_tokens": 52798814.0,
+ "step": 2570
+ },
+ {
+ "entropy": 0.9662951111793519,
+ "epoch": 4.751381215469613,
+ "grad_norm": 0.7709590792655945,
+ "learning_rate": 5.824553869390734e-05,
+ "loss": 0.02503817081451416,
+ "mean_token_accuracy": 0.9900161385536194,
+ "num_tokens": 53004478.0,
+ "step": 2580
+ },
+ {
+ "entropy": 0.9889141619205475,
+ "epoch": 4.769797421731123,
+ "grad_norm": 0.815858006477356,
+ "learning_rate": 5.794502123659613e-05,
+ "loss": 0.026327347755432128,
+ "mean_token_accuracy": 0.9900785744190216,
+ "num_tokens": 53209888.0,
+ "step": 2590
+ },
+ {
+ "entropy": 0.9785685896873474,
+ "epoch": 4.788213627992634,
+ "grad_norm": 0.6514431238174438,
+ "learning_rate": 5.7644209044910735e-05,
+ "loss": 0.025033789873123168,
+ "mean_token_accuracy": 0.9902650475502014,
+ "num_tokens": 53415533.0,
+ "step": 2600
+ },
+ {
+ "entropy": 0.9723869919776916,
+ "epoch": 4.806629834254144,
+ "grad_norm": 0.8778963685035706,
+ "learning_rate": 5.7343113278002284e-05,
+ "loss": 0.02379843294620514,
+ "mean_token_accuracy": 0.9909472465515137,
+ "num_tokens": 53620850.0,
+ "step": 2610
+ },
+ {
+ "entropy": 0.9572711050510406,
+ "epoch": 4.8250460405156534,
+ "grad_norm": 0.8927134871482849,
+ "learning_rate": 5.70417451055417e-05,
+ "loss": 0.024856947362422943,
+ "mean_token_accuracy": 0.9904125213623047,
+ "num_tokens": 53826259.0,
+ "step": 2620
+ },
+ {
+ "entropy": 0.9523135125637054,
+ "epoch": 4.843462246777164,
+ "grad_norm": 0.6832691431045532,
+ "learning_rate": 5.674011570730523e-05,
+ "loss": 0.025352203845977785,
+ "mean_token_accuracy": 0.990432596206665,
+ "num_tokens": 54031531.0,
+ "step": 2630
+ },
+ {
+ "entropy": 0.9735220730304718,
+ "epoch": 4.861878453038674,
+ "grad_norm": 0.6399164795875549,
+ "learning_rate": 5.643823627275972e-05,
+ "loss": 0.026541513204574586,
+ "mean_token_accuracy": 0.9900369107723236,
+ "num_tokens": 54237155.0,
+ "step": 2640
+ },
+ {
+ "entropy": 0.9566517114639282,
+ "epoch": 4.880294659300184,
+ "grad_norm": 0.8725414276123047,
+ "learning_rate": 5.6136118000647616e-05,
+ "loss": 0.02675778865814209,
+ "mean_token_accuracy": 0.9894899427890778,
+ "num_tokens": 54442739.0,
+ "step": 2650
+ },
+ {
+ "entropy": 0.9447909593582153,
+ "epoch": 4.898710865561695,
+ "grad_norm": 0.8169302344322205,
+ "learning_rate": 5.583377209857138e-05,
+ "loss": 0.02642086148262024,
+ "mean_token_accuracy": 0.989885401725769,
+ "num_tokens": 54648098.0,
+ "step": 2660
+ },
+ {
+ "entropy": 0.9180052697658538,
+ "epoch": 4.917127071823204,
+ "grad_norm": 0.7768753170967102,
+ "learning_rate": 5.553120978257787e-05,
+ "loss": 0.02552323341369629,
+ "mean_token_accuracy": 0.9899512350559234,
+ "num_tokens": 54854281.0,
+ "step": 2670
+ },
+ {
+ "entropy": 0.917166668176651,
+ "epoch": 4.935543278084714,
+ "grad_norm": 0.8241410851478577,
+ "learning_rate": 5.5228442276742153e-05,
+ "loss": 0.02788199484348297,
+ "mean_token_accuracy": 0.989625746011734,
+ "num_tokens": 55059495.0,
+ "step": 2680
+ },
+ {
+ "entropy": 0.9345465302467346,
+ "epoch": 4.953959484346225,
+ "grad_norm": 0.7645496129989624,
+ "learning_rate": 5.4925480812751166e-05,
+ "loss": 0.02517639398574829,
+ "mean_token_accuracy": 0.9902283847332001,
+ "num_tokens": 55265381.0,
+ "step": 2690
+ },
+ {
+ "entropy": 0.9386432528495788,
+ "epoch": 4.972375690607735,
+ "grad_norm": 0.8371859192848206,
+ "learning_rate": 5.46223366294871e-05,
+ "loss": 0.025585666298866272,
+ "mean_token_accuracy": 0.9903791427612305,
+ "num_tokens": 55471210.0,
+ "step": 2700
+ },
+ {
+ "entropy": 0.9267561137676239,
+ "epoch": 4.990791896869245,
+ "grad_norm": 0.6789297461509705,
+ "learning_rate": 5.43190209726104e-05,
+ "loss": 0.024646708369255067,
+ "mean_token_accuracy": 0.9904700815677643,
+ "num_tokens": 55676877.0,
+ "step": 2710
+ },
+ {
+ "epoch": 5.0,
+ "eval_entropy": 0.9283919717954553,
+ "eval_loss": 0.06225527077913284,
+ "eval_mean_token_accuracy": 0.9784110421719758,
+ "eval_num_tokens": 55779559.0,
+ "eval_runtime": 10.0613,
+ "eval_samples_per_second": 363.573,
+ "eval_steps_per_second": 11.43,
+ "step": 2715
+ },
+ {
+ "entropy": 0.9269404351711273,
+ "epoch": 5.009208103130755,
+ "grad_norm": 0.540570080280304,
+ "learning_rate": 5.401554509414264e-05,
+ "loss": 0.019513805210590363,
+ "mean_token_accuracy": 0.9927033007144928,
+ "num_tokens": 55882241.0,
+ "step": 2720
+ },
+ {
+ "entropy": 0.9377441763877868,
+ "epoch": 5.027624309392265,
+ "grad_norm": 0.5840998888015747,
+ "learning_rate": 5.3711920252049085e-05,
+ "loss": 0.015180909633636474,
+ "mean_token_accuracy": 0.9944471418857574,
+ "num_tokens": 56087470.0,
+ "step": 2730
+ },
+ {
+ "entropy": 0.949122017621994,
+ "epoch": 5.046040515653775,
+ "grad_norm": 0.6938672065734863,
+ "learning_rate": 5.340815770982106e-05,
+ "loss": 0.0153742715716362,
+ "mean_token_accuracy": 0.9941534519195556,
+ "num_tokens": 56292226.0,
+ "step": 2740
+ },
+ {
+ "entropy": 0.9394402146339417,
+ "epoch": 5.064456721915286,
+ "grad_norm": 0.8259939551353455,
+ "learning_rate": 5.310426873605814e-05,
+ "loss": 0.014350908994674682,
+ "mean_token_accuracy": 0.9945570707321167,
+ "num_tokens": 56497839.0,
+ "step": 2750
+ },
+ {
+ "entropy": 0.9323545396327972,
+ "epoch": 5.082872928176796,
+ "grad_norm": 0.9675024747848511,
+ "learning_rate": 5.280026460405005e-05,
+ "loss": 0.016550135612487794,
+ "mean_token_accuracy": 0.9938908398151398,
+ "num_tokens": 56702932.0,
+ "step": 2760
+ },
+ {
+ "entropy": 0.89125554561615,
+ "epoch": 5.101289134438305,
+ "grad_norm": 0.8347184658050537,
+ "learning_rate": 5.2496156591358566e-05,
+ "loss": 0.017917826771736145,
+ "mean_token_accuracy": 0.9934309899806977,
+ "num_tokens": 56908644.0,
+ "step": 2770
+ },
+ {
+ "entropy": 0.8773505449295044,
+ "epoch": 5.119705340699816,
+ "grad_norm": 0.8869524598121643,
+ "learning_rate": 5.219195597939908e-05,
+ "loss": 0.017221055924892426,
+ "mean_token_accuracy": 0.993448656797409,
+ "num_tokens": 57114171.0,
+ "step": 2780
+ },
+ {
+ "entropy": 0.8874686002731323,
+ "epoch": 5.138121546961326,
+ "grad_norm": 1.0294251441955566,
+ "learning_rate": 5.1887674053022084e-05,
+ "loss": 0.018111808598041533,
+ "mean_token_accuracy": 0.9931293666362763,
+ "num_tokens": 57319158.0,
+ "step": 2790
+ },
+ {
+ "entropy": 0.8893351197242737,
+ "epoch": 5.156537753222836,
+ "grad_norm": 0.6253597736358643,
+ "learning_rate": 5.15833221000946e-05,
+ "loss": 0.017256538569927215,
+ "mean_token_accuracy": 0.9936724424362182,
+ "num_tokens": 57524901.0,
+ "step": 2800
+ },
+ {
+ "entropy": 0.9157109141349793,
+ "epoch": 5.1749539594843466,
+ "grad_norm": 0.6379142999649048,
+ "learning_rate": 5.12789114110814e-05,
+ "loss": 0.016415870189666747,
+ "mean_token_accuracy": 0.9939744889736175,
+ "num_tokens": 57730135.0,
+ "step": 2810
+ },
+ {
+ "entropy": 0.9157932877540589,
+ "epoch": 5.193370165745856,
+ "grad_norm": 0.7195688486099243,
+ "learning_rate": 5.097445327862619e-05,
+ "loss": 0.01577536463737488,
+ "mean_token_accuracy": 0.9941773355007172,
+ "num_tokens": 57936210.0,
+ "step": 2820
+ },
+ {
+ "entropy": 0.9179767727851867,
+ "epoch": 5.211786372007366,
+ "grad_norm": 0.7149335741996765,
+ "learning_rate": 5.066995899713264e-05,
+ "loss": 0.01606254279613495,
+ "mean_token_accuracy": 0.9937664806842804,
+ "num_tokens": 58141736.0,
+ "step": 2830
+ },
+ {
+ "entropy": 0.895512479543686,
+ "epoch": 5.230202578268877,
+ "grad_norm": 0.6460169553756714,
+ "learning_rate": 5.036543986234543e-05,
+ "loss": 0.01605578660964966,
+ "mean_token_accuracy": 0.994063013792038,
+ "num_tokens": 58347178.0,
+ "step": 2840
+ },
+ {
+ "entropy": 0.8883109211921691,
+ "epoch": 5.248618784530387,
+ "grad_norm": 0.72477787733078,
+ "learning_rate": 5.006090717093128e-05,
+ "loss": 0.016773784160614015,
+ "mean_token_accuracy": 0.9940340936183929,
+ "num_tokens": 58552952.0,
+ "step": 2850
+ },
+ {
+ "entropy": 0.8942575633525849,
+ "epoch": 5.267034990791897,
+ "grad_norm": 0.7344926595687866,
+ "learning_rate": 4.9756372220059736e-05,
+ "loss": 0.01604126989841461,
+ "mean_token_accuracy": 0.994256991147995,
+ "num_tokens": 58758449.0,
+ "step": 2860
+ },
+ {
+ "entropy": 0.8854099690914154,
+ "epoch": 5.285451197053407,
+ "grad_norm": 0.6142122149467468,
+ "learning_rate": 4.9451846306984214e-05,
+ "loss": 0.016244474053382873,
+ "mean_token_accuracy": 0.9938375532627106,
+ "num_tokens": 58963691.0,
+ "step": 2870
+ },
+ {
+ "entropy": 0.8745675146579742,
+ "epoch": 5.303867403314917,
+ "grad_norm": 0.8025366067886353,
+ "learning_rate": 4.9147340728622816e-05,
+ "loss": 0.01611460596323013,
+ "mean_token_accuracy": 0.9941173672676087,
+ "num_tokens": 59169484.0,
+ "step": 2880
+ },
+ {
+ "entropy": 0.8812389194965362,
+ "epoch": 5.322283609576427,
+ "grad_norm": 0.7699193358421326,
+ "learning_rate": 4.884286678113935e-05,
+ "loss": 0.016995206475257874,
+ "mean_token_accuracy": 0.9937523245811463,
+ "num_tokens": 59374627.0,
+ "step": 2890
+ },
+ {
+ "entropy": 0.8924362242221833,
+ "epoch": 5.3406998158379375,
+ "grad_norm": 0.7516226172447205,
+ "learning_rate": 4.853843575952414e-05,
+ "loss": 0.01652217358350754,
+ "mean_token_accuracy": 0.9936819314956665,
+ "num_tokens": 59580135.0,
+ "step": 2900
+ },
+ {
+ "entropy": 0.8972602427005768,
+ "epoch": 5.359116022099448,
+ "grad_norm": 0.7781681418418884,
+ "learning_rate": 4.823405895717521e-05,
+ "loss": 0.017360319197177888,
+ "mean_token_accuracy": 0.9935634732246399,
+ "num_tokens": 59785392.0,
+ "step": 2910
+ },
+ {
+ "entropy": 0.900998342037201,
+ "epoch": 5.377532228360957,
+ "grad_norm": 0.6837047934532166,
+ "learning_rate": 4.792974766547911e-05,
+ "loss": 0.017162233591079712,
+ "mean_token_accuracy": 0.993264091014862,
+ "num_tokens": 59991448.0,
+ "step": 2920
+ },
+ {
+ "entropy": 0.9239763855934143,
+ "epoch": 5.3959484346224675,
+ "grad_norm": 0.7188259363174438,
+ "learning_rate": 4.762551317339226e-05,
+ "loss": 0.01718595027923584,
+ "mean_token_accuracy": 0.9933857440948486,
+ "num_tokens": 60197079.0,
+ "step": 2930
+ },
+ {
+ "entropy": 0.9056789398193359,
+ "epoch": 5.414364640883978,
+ "grad_norm": 0.6922260522842407,
+ "learning_rate": 4.732136676702198e-05,
+ "loss": 0.016596907377243043,
+ "mean_token_accuracy": 0.9937462329864502,
+ "num_tokens": 60402299.0,
+ "step": 2940
+ },
+ {
+ "entropy": 0.9038522362709045,
+ "epoch": 5.432780847145488,
+ "grad_norm": 0.7937009930610657,
+ "learning_rate": 4.7017319729207954e-05,
+ "loss": 0.016130413115024566,
+ "mean_token_accuracy": 0.9941940546035767,
+ "num_tokens": 60607907.0,
+ "step": 2950
+ },
+ {
+ "entropy": 0.8911147236824035,
+ "epoch": 5.4511970534069984,
+ "grad_norm": 0.6261171698570251,
+ "learning_rate": 4.671338333910359e-05,
+ "loss": 0.01622493863105774,
+ "mean_token_accuracy": 0.9937945663928985,
+ "num_tokens": 60813428.0,
+ "step": 2960
+ },
+ {
+ "entropy": 0.8894322276115417,
+ "epoch": 5.469613259668508,
+ "grad_norm": 0.6898378729820251,
+ "learning_rate": 4.6409568871757645e-05,
+ "loss": 0.016513559222221374,
+ "mean_token_accuracy": 0.9936174690723419,
+ "num_tokens": 61018404.0,
+ "step": 2970
+ },
+ {
+ "entropy": 0.9026601016521454,
+ "epoch": 5.488029465930018,
+ "grad_norm": 0.7027897834777832,
+ "learning_rate": 4.610588759769593e-05,
+ "loss": 0.016727012395858765,
+ "mean_token_accuracy": 0.9941417872905731,
+ "num_tokens": 61223660.0,
+ "step": 2980
+ },
+ {
+ "entropy": 0.8903301954269409,
+ "epoch": 5.5064456721915285,
+ "grad_norm": 0.9087063074111938,
+ "learning_rate": 4.5802350782503196e-05,
+ "loss": 0.016929233074188234,
+ "mean_token_accuracy": 0.9935264468193055,
+ "num_tokens": 61429438.0,
+ "step": 2990
+ },
+ {
+ "entropy": 0.8886692762374878,
+ "epoch": 5.524861878453039,
+ "grad_norm": 0.8283822536468506,
+ "learning_rate": 4.5498969686405266e-05,
+ "loss": 0.015396638214588166,
+ "mean_token_accuracy": 0.99433131814003,
+ "num_tokens": 61635274.0,
+ "step": 3000
+ },
+ {
+ "entropy": 0.8902086555957794,
+ "epoch": 5.543278084714549,
+ "grad_norm": 0.7676647305488586,
+ "learning_rate": 4.5195755563851336e-05,
+ "loss": 0.01673731654882431,
+ "mean_token_accuracy": 0.9938134133815766,
+ "num_tokens": 61840778.0,
+ "step": 3010
+ },
+ {
+ "entropy": 0.8941606819629669,
+ "epoch": 5.5616942909760585,
+ "grad_norm": 0.7026392221450806,
+ "learning_rate": 4.489271966309634e-05,
+ "loss": 0.01694796681404114,
+ "mean_token_accuracy": 0.9936233103275299,
+ "num_tokens": 62046355.0,
+ "step": 3020
+ },
+ {
+ "entropy": 0.90918750166893,
+ "epoch": 5.580110497237569,
+ "grad_norm": 0.7146924734115601,
+ "learning_rate": 4.4589873225783806e-05,
+ "loss": 0.01852080672979355,
+ "mean_token_accuracy": 0.9928994178771973,
+ "num_tokens": 62251709.0,
+ "step": 3030
+ },
+ {
+ "entropy": 0.8946544349193573,
+ "epoch": 5.598526703499079,
+ "grad_norm": 0.607246458530426,
+ "learning_rate": 4.428722748652881e-05,
+ "loss": 0.016636812686920167,
+ "mean_token_accuracy": 0.9939334273338318,
+ "num_tokens": 62456680.0,
+ "step": 3040
+ },
+ {
+ "entropy": 0.8854653835296631,
+ "epoch": 5.616942909760589,
+ "grad_norm": 0.7457882165908813,
+ "learning_rate": 4.3984793672501124e-05,
+ "loss": 0.016008296608924867,
+ "mean_token_accuracy": 0.9940589666366577,
+ "num_tokens": 62662038.0,
+ "step": 3050
+ },
+ {
+ "entropy": 0.8921085000038147,
+ "epoch": 5.6353591160221,
+ "grad_norm": 0.7707350254058838,
+ "learning_rate": 4.368258300300888e-05,
+ "loss": 0.016655120253562927,
+ "mean_token_accuracy": 0.993935889005661,
+ "num_tokens": 62867272.0,
+ "step": 3060
+ },
+ {
+ "entropy": 0.8768653869628906,
+ "epoch": 5.653775322283609,
+ "grad_norm": 0.6994554996490479,
+ "learning_rate": 4.3380606689082166e-05,
+ "loss": 0.015841150283813478,
+ "mean_token_accuracy": 0.9944550096988678,
+ "num_tokens": 63072403.0,
+ "step": 3070
+ },
+ {
+ "entropy": 0.8767679035663605,
+ "epoch": 5.672191528545119,
+ "grad_norm": 0.8327192068099976,
+ "learning_rate": 4.307887593305733e-05,
+ "loss": 0.015826576948165895,
+ "mean_token_accuracy": 0.9941202461719513,
+ "num_tokens": 63277635.0,
+ "step": 3080
+ },
+ {
+ "entropy": 0.8763292253017425,
+ "epoch": 5.69060773480663,
+ "grad_norm": 0.7224747538566589,
+ "learning_rate": 4.277740192816127e-05,
+ "loss": 0.015298140048980714,
+ "mean_token_accuracy": 0.9943080008029938,
+ "num_tokens": 63483196.0,
+ "step": 3090
+ },
+ {
+ "entropy": 0.8834661841392517,
+ "epoch": 5.70902394106814,
+ "grad_norm": 0.9508277773857117,
+ "learning_rate": 4.247619585809627e-05,
+ "loss": 0.01658404469490051,
+ "mean_token_accuracy": 0.9934300124645233,
+ "num_tokens": 63688721.0,
+ "step": 3100
+ },
+ {
+ "entropy": 0.899389523267746,
+ "epoch": 5.72744014732965,
+ "grad_norm": 0.7170981168746948,
+ "learning_rate": 4.217526889662512e-05,
+ "loss": 0.015803813934326172,
+ "mean_token_accuracy": 0.9940325975418091,
+ "num_tokens": 63894220.0,
+ "step": 3110
+ },
+ {
+ "entropy": 0.8968011736869812,
+ "epoch": 5.74585635359116,
+ "grad_norm": 0.6686251163482666,
+ "learning_rate": 4.187463220715659e-05,
+ "loss": 0.015874400734901428,
+ "mean_token_accuracy": 0.9940970957279205,
+ "num_tokens": 64099768.0,
+ "step": 3120
+ },
+ {
+ "entropy": 0.8900792479515076,
+ "epoch": 5.76427255985267,
+ "grad_norm": 0.5979828238487244,
+ "learning_rate": 4.157429694233128e-05,
+ "loss": 0.01613767147064209,
+ "mean_token_accuracy": 0.9942961037158966,
+ "num_tokens": 64305055.0,
+ "step": 3130
+ },
+ {
+ "entropy": 0.8899810135364532,
+ "epoch": 5.78268876611418,
+ "grad_norm": 0.7330048084259033,
+ "learning_rate": 4.127427424360794e-05,
+ "loss": 0.016168563067913054,
+ "mean_token_accuracy": 0.9941077649593353,
+ "num_tokens": 64510002.0,
+ "step": 3140
+ },
+ {
+ "entropy": 0.8805335581302642,
+ "epoch": 5.801104972375691,
+ "grad_norm": 0.5978623032569885,
+ "learning_rate": 4.09745752408501e-05,
+ "loss": 0.01524556577205658,
+ "mean_token_accuracy": 0.994326776266098,
+ "num_tokens": 64715431.0,
+ "step": 3150
+ },
+ {
+ "entropy": 0.878781646490097,
+ "epoch": 5.819521178637201,
+ "grad_norm": 0.6749313473701477,
+ "learning_rate": 4.067521105191331e-05,
+ "loss": 0.015209287405014038,
+ "mean_token_accuracy": 0.9942974805831909,
+ "num_tokens": 64921579.0,
+ "step": 3160
+ },
+ {
+ "entropy": 0.8844729900360108,
+ "epoch": 5.83793738489871,
+ "grad_norm": 0.6887196898460388,
+ "learning_rate": 4.037619278223255e-05,
+ "loss": 0.01619938760995865,
+ "mean_token_accuracy": 0.9937683045864105,
+ "num_tokens": 65127007.0,
+ "step": 3170
+ },
+ {
+ "entropy": 0.8780498623847961,
+ "epoch": 5.856353591160221,
+ "grad_norm": 0.6962174773216248,
+ "learning_rate": 4.0077531524410304e-05,
+ "loss": 0.015934592485427855,
+ "mean_token_accuracy": 0.9935103774070739,
+ "num_tokens": 65332418.0,
+ "step": 3180
+ },
+ {
+ "entropy": 0.8889612555503845,
+ "epoch": 5.874769797421731,
+ "grad_norm": 0.6049854159355164,
+ "learning_rate": 3.977923835780517e-05,
+ "loss": 0.01600206792354584,
+ "mean_token_accuracy": 0.9937360048294067,
+ "num_tokens": 65537845.0,
+ "step": 3190
+ },
+ {
+ "entropy": 0.8960810244083405,
+ "epoch": 5.893186003683241,
+ "grad_norm": 0.6341013312339783,
+ "learning_rate": 3.948132434812065e-05,
+ "loss": 0.0143389493227005,
+ "mean_token_accuracy": 0.9948007702827454,
+ "num_tokens": 65743412.0,
+ "step": 3200
+ },
+ {
+ "entropy": 0.887304550409317,
+ "epoch": 5.911602209944752,
+ "grad_norm": 0.7564852237701416,
+ "learning_rate": 3.9183800546994886e-05,
+ "loss": 0.016044440865516662,
+ "mean_token_accuracy": 0.9939335525035858,
+ "num_tokens": 65948884.0,
+ "step": 3210
+ },
+ {
+ "entropy": 0.8823239862918854,
+ "epoch": 5.930018416206261,
+ "grad_norm": 0.6525556445121765,
+ "learning_rate": 3.8886677991590435e-05,
+ "loss": 0.016112390160560607,
+ "mean_token_accuracy": 0.9938134670257568,
+ "num_tokens": 66153768.0,
+ "step": 3220
+ },
+ {
+ "entropy": 0.8712829887866974,
+ "epoch": 5.948434622467771,
+ "grad_norm": 0.676167368888855,
+ "learning_rate": 3.858996770418504e-05,
+ "loss": 0.015146306157112122,
+ "mean_token_accuracy": 0.9944733619689942,
+ "num_tokens": 66359661.0,
+ "step": 3230
+ },
+ {
+ "entropy": 0.8734102070331573,
+ "epoch": 5.966850828729282,
+ "grad_norm": 0.6284340023994446,
+ "learning_rate": 3.829368069176257e-05,
+ "loss": 0.017269474267959595,
+ "mean_token_accuracy": 0.9938443183898926,
+ "num_tokens": 66565228.0,
+ "step": 3240
+ },
+ {
+ "entropy": 0.8757335782051087,
+ "epoch": 5.985267034990792,
+ "grad_norm": 0.722522497177124,
+ "learning_rate": 3.799782794560484e-05,
+ "loss": 0.015032704174518585,
+ "mean_token_accuracy": 0.9942249894142151,
+ "num_tokens": 66770718.0,
+ "step": 3250
+ },
+ {
+ "epoch": 6.0,
+ "eval_entropy": 0.8780099873957427,
+ "eval_loss": 0.06740746647119522,
+ "eval_mean_token_accuracy": 0.9795082377350849,
+ "eval_num_tokens": 66935435.0,
+ "eval_runtime": 10.0955,
+ "eval_samples_per_second": 362.34,
+ "eval_steps_per_second": 11.391,
+ "step": 3258
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.190938138876838e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-3258/training_args.bin b/checkpoint-3258/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-3258/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-3801/README.md b/checkpoint-3801/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-3801/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-3801/adapter_config.json b/checkpoint-3801/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-3801/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-3801/adapter_model.safetensors b/checkpoint-3801/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..fad066cd11dea180adcd18bf26f23c7a0c03596c
--- /dev/null
+++ b/checkpoint-3801/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddf199d0ea570dc0a07cf04650028719a3b079854d9cd9c9c87302cd1e916916
+size 80792096
diff --git a/checkpoint-3801/chat_template.jinja b/checkpoint-3801/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-3801/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-3801/tokenizer.json b/checkpoint-3801/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-3801/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-3801/tokenizer_config.json b/checkpoint-3801/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-3801/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-3801/trainer_state.json b/checkpoint-3801/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..a69b93042bcfdb7ab0113d02b9fabece89b6d21d
--- /dev/null
+++ b/checkpoint-3801/trainer_state.json
@@ -0,0 +1,3911 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 7.0,
+ "eval_steps": 500,
+ "global_step": 3801,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ },
+ {
+ "entropy": 0.9337226033210755,
+ "epoch": 3.001841620626151,
+ "grad_norm": 0.646203875541687,
+ "learning_rate": 8.387233236315016e-05,
+ "loss": 0.043352216482162476,
+ "mean_token_accuracy": 0.9830620110034942,
+ "num_tokens": 33488302.0,
+ "step": 1630
+ },
+ {
+ "entropy": 0.9734923839569092,
+ "epoch": 3.020257826887661,
+ "grad_norm": 0.7564226984977722,
+ "learning_rate": 8.364769739484416e-05,
+ "loss": 0.033932483196258544,
+ "mean_token_accuracy": 0.9872806966304779,
+ "num_tokens": 33693531.0,
+ "step": 1640
+ },
+ {
+ "entropy": 0.9669206500053406,
+ "epoch": 3.0386740331491713,
+ "grad_norm": 0.7126886248588562,
+ "learning_rate": 8.342181420671096e-05,
+ "loss": 0.03818287253379822,
+ "mean_token_accuracy": 0.9852082908153534,
+ "num_tokens": 33899305.0,
+ "step": 1650
+ },
+ {
+ "entropy": 0.9522916138172149,
+ "epoch": 3.0570902394106816,
+ "grad_norm": 1.0571653842926025,
+ "learning_rate": 8.319469117828007e-05,
+ "loss": 0.03456039130687714,
+ "mean_token_accuracy": 0.9867027878761292,
+ "num_tokens": 34104585.0,
+ "step": 1660
+ },
+ {
+ "entropy": 0.9568560004234314,
+ "epoch": 3.0755064456721914,
+ "grad_norm": 0.780940592288971,
+ "learning_rate": 8.296633673507505e-05,
+ "loss": 0.03551802039146423,
+ "mean_token_accuracy": 0.9867531359195709,
+ "num_tokens": 34309516.0,
+ "step": 1670
+ },
+ {
+ "entropy": 0.9590656876564025,
+ "epoch": 3.0939226519337018,
+ "grad_norm": 0.8330219388008118,
+ "learning_rate": 8.273675934830094e-05,
+ "loss": 0.03674865961074829,
+ "mean_token_accuracy": 0.9864118576049805,
+ "num_tokens": 34515170.0,
+ "step": 1680
+ },
+ {
+ "entropy": 0.975881814956665,
+ "epoch": 3.1123388581952116,
+ "grad_norm": 0.7010637521743774,
+ "learning_rate": 8.250596753453e-05,
+ "loss": 0.03550414443016052,
+ "mean_token_accuracy": 0.9864102602005005,
+ "num_tokens": 34720896.0,
+ "step": 1690
+ },
+ {
+ "entropy": 0.9599562883377075,
+ "epoch": 3.130755064456722,
+ "grad_norm": 0.6694278717041016,
+ "learning_rate": 8.227396985538578e-05,
+ "loss": 0.035564273595809937,
+ "mean_token_accuracy": 0.9867321848869324,
+ "num_tokens": 34925970.0,
+ "step": 1700
+ },
+ {
+ "entropy": 0.9582216143608093,
+ "epoch": 3.149171270718232,
+ "grad_norm": 0.9333199262619019,
+ "learning_rate": 8.204077491722546e-05,
+ "loss": 0.035575729608535764,
+ "mean_token_accuracy": 0.9862452208995819,
+ "num_tokens": 35131543.0,
+ "step": 1710
+ },
+ {
+ "entropy": 0.9579678058624268,
+ "epoch": 3.167587476979742,
+ "grad_norm": 0.9450218081474304,
+ "learning_rate": 8.180639137082066e-05,
+ "loss": 0.0385298490524292,
+ "mean_token_accuracy": 0.98538036942482,
+ "num_tokens": 35336790.0,
+ "step": 1720
+ },
+ {
+ "entropy": 0.9640831351280212,
+ "epoch": 3.1860036832412524,
+ "grad_norm": 0.8551534414291382,
+ "learning_rate": 8.157082791103649e-05,
+ "loss": 0.03702138364315033,
+ "mean_token_accuracy": 0.9852015495300293,
+ "num_tokens": 35542294.0,
+ "step": 1730
+ },
+ {
+ "entropy": 0.9867071211338043,
+ "epoch": 3.2044198895027622,
+ "grad_norm": 0.7138128876686096,
+ "learning_rate": 8.133409327650897e-05,
+ "loss": 0.035626694560050964,
+ "mean_token_accuracy": 0.986064875125885,
+ "num_tokens": 35747447.0,
+ "step": 1740
+ },
+ {
+ "entropy": 0.9639089345932007,
+ "epoch": 3.2228360957642725,
+ "grad_norm": 0.7131415009498596,
+ "learning_rate": 8.109619624932092e-05,
+ "loss": 0.035885071754455565,
+ "mean_token_accuracy": 0.986273056268692,
+ "num_tokens": 35952258.0,
+ "step": 1750
+ },
+ {
+ "entropy": 0.9516046345233917,
+ "epoch": 3.241252302025783,
+ "grad_norm": 0.6900200843811035,
+ "learning_rate": 8.085714565467611e-05,
+ "loss": 0.03535219430923462,
+ "mean_token_accuracy": 0.985836285352707,
+ "num_tokens": 36157938.0,
+ "step": 1760
+ },
+ {
+ "entropy": 0.9373646557331086,
+ "epoch": 3.2596685082872927,
+ "grad_norm": 0.6101690530776978,
+ "learning_rate": 8.061695036057191e-05,
+ "loss": 0.034940996766090394,
+ "mean_token_accuracy": 0.9863743901252746,
+ "num_tokens": 36363825.0,
+ "step": 1770
+ },
+ {
+ "entropy": 0.9444344758987426,
+ "epoch": 3.278084714548803,
+ "grad_norm": 0.7518529295921326,
+ "learning_rate": 8.03756192774703e-05,
+ "loss": 0.03404279053211212,
+ "mean_token_accuracy": 0.9866396844387054,
+ "num_tokens": 36568961.0,
+ "step": 1780
+ },
+ {
+ "entropy": 0.9550357758998871,
+ "epoch": 3.2965009208103133,
+ "grad_norm": 0.7687555551528931,
+ "learning_rate": 8.013316135796734e-05,
+ "loss": 0.038447052240371704,
+ "mean_token_accuracy": 0.985325163602829,
+ "num_tokens": 36774514.0,
+ "step": 1790
+ },
+ {
+ "entropy": 0.9477231681346894,
+ "epoch": 3.314917127071823,
+ "grad_norm": 0.7521633505821228,
+ "learning_rate": 7.988958559646102e-05,
+ "loss": 0.03746694028377533,
+ "mean_token_accuracy": 0.9853165090084076,
+ "num_tokens": 36979660.0,
+ "step": 1800
+ },
+ {
+ "entropy": 0.925805002450943,
+ "epoch": 3.3333333333333335,
+ "grad_norm": 0.9333297610282898,
+ "learning_rate": 7.964490102881768e-05,
+ "loss": 0.03700103759765625,
+ "mean_token_accuracy": 0.9850880861282348,
+ "num_tokens": 37185191.0,
+ "step": 1810
+ },
+ {
+ "entropy": 0.9225482225418091,
+ "epoch": 3.3517495395948433,
+ "grad_norm": 0.7928622961044312,
+ "learning_rate": 7.939911673203665e-05,
+ "loss": 0.03825801610946655,
+ "mean_token_accuracy": 0.9850241422653199,
+ "num_tokens": 37390749.0,
+ "step": 1820
+ },
+ {
+ "entropy": 0.9597147881984711,
+ "epoch": 3.3701657458563536,
+ "grad_norm": 0.7658583521842957,
+ "learning_rate": 7.915224182391375e-05,
+ "loss": 0.039855146408081056,
+ "mean_token_accuracy": 0.9845879554748536,
+ "num_tokens": 37596052.0,
+ "step": 1830
+ },
+ {
+ "entropy": 0.9485619068145752,
+ "epoch": 3.388581952117864,
+ "grad_norm": 0.8492130637168884,
+ "learning_rate": 7.890428546270278e-05,
+ "loss": 0.039359599351882935,
+ "mean_token_accuracy": 0.9847265422344208,
+ "num_tokens": 37802063.0,
+ "step": 1840
+ },
+ {
+ "entropy": 0.9670301914215088,
+ "epoch": 3.406998158379374,
+ "grad_norm": 0.7527599930763245,
+ "learning_rate": 7.865525684677608e-05,
+ "loss": 0.03752985596656799,
+ "mean_token_accuracy": 0.9855137526988983,
+ "num_tokens": 38007432.0,
+ "step": 1850
+ },
+ {
+ "entropy": 0.9681244969367981,
+ "epoch": 3.425414364640884,
+ "grad_norm": 0.7599612474441528,
+ "learning_rate": 7.840516521428303e-05,
+ "loss": 0.03653894364833832,
+ "mean_token_accuracy": 0.9858933389186859,
+ "num_tokens": 38212923.0,
+ "step": 1860
+ },
+ {
+ "entropy": 0.9706049561500549,
+ "epoch": 3.443830570902394,
+ "grad_norm": 0.7678127884864807,
+ "learning_rate": 7.815401984280748e-05,
+ "loss": 0.0366938978433609,
+ "mean_token_accuracy": 0.9854713797569274,
+ "num_tokens": 38418422.0,
+ "step": 1870
+ },
+ {
+ "entropy": 0.9637093842029572,
+ "epoch": 3.4622467771639043,
+ "grad_norm": 0.762824535369873,
+ "learning_rate": 7.790183004902359e-05,
+ "loss": 0.03516915142536163,
+ "mean_token_accuracy": 0.9866003453731537,
+ "num_tokens": 38624389.0,
+ "step": 1880
+ },
+ {
+ "entropy": 0.9373565018177032,
+ "epoch": 3.4806629834254146,
+ "grad_norm": 0.8221780061721802,
+ "learning_rate": 7.764860518835014e-05,
+ "loss": 0.04049026966094971,
+ "mean_token_accuracy": 0.984089481830597,
+ "num_tokens": 38829654.0,
+ "step": 1890
+ },
+ {
+ "entropy": 0.9356025457382202,
+ "epoch": 3.4990791896869244,
+ "grad_norm": 0.7583426237106323,
+ "learning_rate": 7.739435465460356e-05,
+ "loss": 0.03658481240272522,
+ "mean_token_accuracy": 0.9857318818569183,
+ "num_tokens": 39034638.0,
+ "step": 1900
+ },
+ {
+ "entropy": 0.9740163326263428,
+ "epoch": 3.5174953959484347,
+ "grad_norm": 0.7332878112792969,
+ "learning_rate": 7.713908787964937e-05,
+ "loss": 0.03508963882923126,
+ "mean_token_accuracy": 0.9863419532775879,
+ "num_tokens": 39240265.0,
+ "step": 1910
+ },
+ {
+ "entropy": 0.9528286933898926,
+ "epoch": 3.5359116022099446,
+ "grad_norm": 0.6515451669692993,
+ "learning_rate": 7.688281433305233e-05,
+ "loss": 0.036055779457092284,
+ "mean_token_accuracy": 0.9860979080200195,
+ "num_tokens": 39445546.0,
+ "step": 1920
+ },
+ {
+ "entropy": 0.9480705261230469,
+ "epoch": 3.554327808471455,
+ "grad_norm": 0.7725827097892761,
+ "learning_rate": 7.662554352172515e-05,
+ "loss": 0.037101513147354125,
+ "mean_token_accuracy": 0.985782790184021,
+ "num_tokens": 39651078.0,
+ "step": 1930
+ },
+ {
+ "entropy": 0.9655321061611175,
+ "epoch": 3.572744014732965,
+ "grad_norm": 0.7756506204605103,
+ "learning_rate": 7.636728498957581e-05,
+ "loss": 0.03721855878829956,
+ "mean_token_accuracy": 0.9857951939105988,
+ "num_tokens": 39856542.0,
+ "step": 1940
+ },
+ {
+ "entropy": 0.9772682309150695,
+ "epoch": 3.591160220994475,
+ "grad_norm": 0.9084987640380859,
+ "learning_rate": 7.610804831715355e-05,
+ "loss": 0.03570749163627625,
+ "mean_token_accuracy": 0.9863450109958649,
+ "num_tokens": 40061913.0,
+ "step": 1950
+ },
+ {
+ "entropy": 0.9579685389995575,
+ "epoch": 3.6095764272559854,
+ "grad_norm": 0.6358487606048584,
+ "learning_rate": 7.584784312129334e-05,
+ "loss": 0.038210684061050416,
+ "mean_token_accuracy": 0.9850837290287018,
+ "num_tokens": 40267398.0,
+ "step": 1960
+ },
+ {
+ "entropy": 0.9605201721191406,
+ "epoch": 3.6279926335174952,
+ "grad_norm": 0.6263149976730347,
+ "learning_rate": 7.558667905475927e-05,
+ "loss": 0.03509160876274109,
+ "mean_token_accuracy": 0.9868143379688263,
+ "num_tokens": 40472827.0,
+ "step": 1970
+ },
+ {
+ "entropy": 0.964026153087616,
+ "epoch": 3.6464088397790055,
+ "grad_norm": 0.90068119764328,
+ "learning_rate": 7.532456580588638e-05,
+ "loss": 0.036211782693862916,
+ "mean_token_accuracy": 0.9858468770980835,
+ "num_tokens": 40677935.0,
+ "step": 1980
+ },
+ {
+ "entropy": 0.9494135618209839,
+ "epoch": 3.664825046040516,
+ "grad_norm": 0.760134756565094,
+ "learning_rate": 7.50615130982213e-05,
+ "loss": 0.03786201477050781,
+ "mean_token_accuracy": 0.9852500438690186,
+ "num_tokens": 40883750.0,
+ "step": 1990
+ },
+ {
+ "entropy": 0.9527071297168732,
+ "epoch": 3.6832412523020257,
+ "grad_norm": 0.9812107682228088,
+ "learning_rate": 7.479753069016152e-05,
+ "loss": 0.03803159594535828,
+ "mean_token_accuracy": 0.9852405369281769,
+ "num_tokens": 41089115.0,
+ "step": 2000
+ },
+ {
+ "entropy": 0.9639330863952636,
+ "epoch": 3.701657458563536,
+ "grad_norm": 0.7164933681488037,
+ "learning_rate": 7.453262837459332e-05,
+ "loss": 0.03912568986415863,
+ "mean_token_accuracy": 0.9849458575248718,
+ "num_tokens": 41294694.0,
+ "step": 2010
+ },
+ {
+ "entropy": 0.9536987483501435,
+ "epoch": 3.720073664825046,
+ "grad_norm": 0.6804596185684204,
+ "learning_rate": 7.426681597852863e-05,
+ "loss": 0.036410006880760196,
+ "mean_token_accuracy": 0.985712206363678,
+ "num_tokens": 41499817.0,
+ "step": 2020
+ },
+ {
+ "entropy": 0.9478164672851562,
+ "epoch": 3.738489871086556,
+ "grad_norm": 0.8799397349357605,
+ "learning_rate": 7.400010336274037e-05,
+ "loss": 0.03801035583019256,
+ "mean_token_accuracy": 0.9850274682044983,
+ "num_tokens": 41704932.0,
+ "step": 2030
+ },
+ {
+ "entropy": 0.9383447647094727,
+ "epoch": 3.7569060773480665,
+ "grad_norm": 0.8386216163635254,
+ "learning_rate": 7.373250042139664e-05,
+ "loss": 0.0373637855052948,
+ "mean_token_accuracy": 0.9854822158813477,
+ "num_tokens": 41910804.0,
+ "step": 2040
+ },
+ {
+ "entropy": 0.925172996520996,
+ "epoch": 3.7753222836095763,
+ "grad_norm": 0.7599324584007263,
+ "learning_rate": 7.346401708169377e-05,
+ "loss": 0.03585260808467865,
+ "mean_token_accuracy": 0.9860672950744629,
+ "num_tokens": 42116706.0,
+ "step": 2050
+ },
+ {
+ "entropy": 0.9463765442371368,
+ "epoch": 3.7937384898710866,
+ "grad_norm": 0.9030149579048157,
+ "learning_rate": 7.319466330348797e-05,
+ "loss": 0.035877206921577455,
+ "mean_token_accuracy": 0.9863968968391419,
+ "num_tokens": 42322670.0,
+ "step": 2060
+ },
+ {
+ "entropy": 0.9942441761493683,
+ "epoch": 3.8121546961325965,
+ "grad_norm": 0.6400449275970459,
+ "learning_rate": 7.292444907892587e-05,
+ "loss": 0.037310433387756345,
+ "mean_token_accuracy": 0.9854151606559753,
+ "num_tokens": 42527752.0,
+ "step": 2070
+ },
+ {
+ "entropy": 0.9577703952789307,
+ "epoch": 3.830570902394107,
+ "grad_norm": 0.6193167567253113,
+ "learning_rate": 7.265338443207387e-05,
+ "loss": 0.03648848831653595,
+ "mean_token_accuracy": 0.9856530070304871,
+ "num_tokens": 42732981.0,
+ "step": 2080
+ },
+ {
+ "entropy": 0.9663952767848969,
+ "epoch": 3.848987108655617,
+ "grad_norm": 0.759611189365387,
+ "learning_rate": 7.238147941854625e-05,
+ "loss": 0.036112996935844424,
+ "mean_token_accuracy": 0.9862765550613404,
+ "num_tokens": 42938619.0,
+ "step": 2090
+ },
+ {
+ "entropy": 0.9484863519668579,
+ "epoch": 3.867403314917127,
+ "grad_norm": 0.7420705556869507,
+ "learning_rate": 7.210874412513218e-05,
+ "loss": 0.03703283965587616,
+ "mean_token_accuracy": 0.9857317566871643,
+ "num_tokens": 43143753.0,
+ "step": 2100
+ },
+ {
+ "entropy": 0.964326673746109,
+ "epoch": 3.8858195211786373,
+ "grad_norm": 0.8779639601707458,
+ "learning_rate": 7.183518866942147e-05,
+ "loss": 0.03739701807498932,
+ "mean_token_accuracy": 0.9852154791355133,
+ "num_tokens": 43349451.0,
+ "step": 2110
+ },
+ {
+ "entropy": 0.9729791641235351,
+ "epoch": 3.904235727440147,
+ "grad_norm": 0.7582741379737854,
+ "learning_rate": 7.156082319942929e-05,
+ "loss": 0.03894525766372681,
+ "mean_token_accuracy": 0.9847454309463501,
+ "num_tokens": 43554598.0,
+ "step": 2120
+ },
+ {
+ "entropy": 0.9860592544078827,
+ "epoch": 3.9226519337016574,
+ "grad_norm": 0.860698938369751,
+ "learning_rate": 7.128565789321969e-05,
+ "loss": 0.0365300178527832,
+ "mean_token_accuracy": 0.9859121859073638,
+ "num_tokens": 43760081.0,
+ "step": 2130
+ },
+ {
+ "entropy": 0.9916551172733307,
+ "epoch": 3.9410681399631677,
+ "grad_norm": 0.8363776206970215,
+ "learning_rate": 7.100970295852805e-05,
+ "loss": 0.036221379041671754,
+ "mean_token_accuracy": 0.9859034180641174,
+ "num_tokens": 43965432.0,
+ "step": 2140
+ },
+ {
+ "entropy": 0.9553558886051178,
+ "epoch": 3.9594843462246776,
+ "grad_norm": 0.9627474546432495,
+ "learning_rate": 7.073296863238242e-05,
+ "loss": 0.03684481382369995,
+ "mean_token_accuracy": 0.9857315957546234,
+ "num_tokens": 44171232.0,
+ "step": 2150
+ },
+ {
+ "entropy": 0.9538035809993743,
+ "epoch": 3.977900552486188,
+ "grad_norm": 0.8399474620819092,
+ "learning_rate": 7.045546518072366e-05,
+ "loss": 0.03825397789478302,
+ "mean_token_accuracy": 0.9846831560134888,
+ "num_tokens": 44376723.0,
+ "step": 2160
+ },
+ {
+ "entropy": 0.9476235210895538,
+ "epoch": 3.9963167587476978,
+ "grad_norm": 0.708739697933197,
+ "learning_rate": 7.017720289802472e-05,
+ "loss": 0.03618018329143524,
+ "mean_token_accuracy": 0.9861325800418854,
+ "num_tokens": 44582407.0,
+ "step": 2170
+ },
+ {
+ "epoch": 4.0,
+ "eval_entropy": 0.9569619194321011,
+ "eval_loss": 0.059838198125362396,
+ "eval_mean_token_accuracy": 0.9777795366618944,
+ "eval_num_tokens": 44623647.0,
+ "eval_runtime": 10.0379,
+ "eval_samples_per_second": 364.42,
+ "eval_steps_per_second": 11.457,
+ "step": 2172
+ },
+ {
+ "entropy": 0.9558675646781921,
+ "epoch": 4.014732965009208,
+ "grad_norm": 0.7347508668899536,
+ "learning_rate": 6.989819210690872e-05,
+ "loss": 0.02886659502983093,
+ "mean_token_accuracy": 0.9892994821071625,
+ "num_tokens": 44788219.0,
+ "step": 2180
+ },
+ {
+ "entropy": 1.0037677466869355,
+ "epoch": 4.033149171270718,
+ "grad_norm": 0.7403206825256348,
+ "learning_rate": 6.961844315776596e-05,
+ "loss": 0.02395295798778534,
+ "mean_token_accuracy": 0.9906026899814606,
+ "num_tokens": 44993505.0,
+ "step": 2190
+ },
+ {
+ "entropy": 1.0068290829658508,
+ "epoch": 4.051565377532229,
+ "grad_norm": 0.7979726195335388,
+ "learning_rate": 6.933796642837003e-05,
+ "loss": 0.02605988085269928,
+ "mean_token_accuracy": 0.9899706900119781,
+ "num_tokens": 45199193.0,
+ "step": 2200
+ },
+ {
+ "entropy": 0.9942211747169495,
+ "epoch": 4.069981583793738,
+ "grad_norm": 0.6460402011871338,
+ "learning_rate": 6.905677232349278e-05,
+ "loss": 0.025350230932235717,
+ "mean_token_accuracy": 0.9899386286735534,
+ "num_tokens": 45404030.0,
+ "step": 2210
+ },
+ {
+ "entropy": 0.9783595442771912,
+ "epoch": 4.088397790055248,
+ "grad_norm": 0.8177055716514587,
+ "learning_rate": 6.877487127451834e-05,
+ "loss": 0.02696993052959442,
+ "mean_token_accuracy": 0.9896106541156768,
+ "num_tokens": 45609763.0,
+ "step": 2220
+ },
+ {
+ "entropy": 0.9801763832569123,
+ "epoch": 4.106813996316759,
+ "grad_norm": 0.6608165502548218,
+ "learning_rate": 6.849227373905618e-05,
+ "loss": 0.025101393461227417,
+ "mean_token_accuracy": 0.9904372334480286,
+ "num_tokens": 45814941.0,
+ "step": 2230
+ },
+ {
+ "entropy": 0.9695689737796783,
+ "epoch": 4.125230202578269,
+ "grad_norm": 0.8036547899246216,
+ "learning_rate": 6.820899020055314e-05,
+ "loss": 0.027827343344688414,
+ "mean_token_accuracy": 0.9890337705612182,
+ "num_tokens": 46020535.0,
+ "step": 2240
+ },
+ {
+ "entropy": 0.9828635334968567,
+ "epoch": 4.143646408839779,
+ "grad_norm": 0.7729921936988831,
+ "learning_rate": 6.792503116790455e-05,
+ "loss": 0.02779492735862732,
+ "mean_token_accuracy": 0.9894372522830963,
+ "num_tokens": 46226013.0,
+ "step": 2250
+ },
+ {
+ "entropy": 0.9978842556476593,
+ "epoch": 4.162062615101289,
+ "grad_norm": 0.7334664463996887,
+ "learning_rate": 6.764040717506432e-05,
+ "loss": 0.025673511624336242,
+ "mean_token_accuracy": 0.9899355113506317,
+ "num_tokens": 46432087.0,
+ "step": 2260
+ },
+ {
+ "entropy": 1.0116403937339782,
+ "epoch": 4.180478821362799,
+ "grad_norm": 0.6769368052482605,
+ "learning_rate": 6.735512878065427e-05,
+ "loss": 0.024705511331558228,
+ "mean_token_accuracy": 0.9906128525733948,
+ "num_tokens": 46637478.0,
+ "step": 2270
+ },
+ {
+ "entropy": 0.9985016226768494,
+ "epoch": 4.198895027624309,
+ "grad_norm": 0.8301573991775513,
+ "learning_rate": 6.706920656757234e-05,
+ "loss": 0.02455987185239792,
+ "mean_token_accuracy": 0.9905728340148926,
+ "num_tokens": 46842562.0,
+ "step": 2280
+ },
+ {
+ "entropy": 0.9909430682659149,
+ "epoch": 4.21731123388582,
+ "grad_norm": 0.656026303768158,
+ "learning_rate": 6.67826511426001e-05,
+ "loss": 0.022711564600467683,
+ "mean_token_accuracy": 0.9910893619060517,
+ "num_tokens": 47048071.0,
+ "step": 2290
+ },
+ {
+ "entropy": 0.9868666052818298,
+ "epoch": 4.23572744014733,
+ "grad_norm": 0.7614991068840027,
+ "learning_rate": 6.649547313600916e-05,
+ "loss": 0.02453812211751938,
+ "mean_token_accuracy": 0.9908901154994965,
+ "num_tokens": 47253507.0,
+ "step": 2300
+ },
+ {
+ "entropy": 0.9870487153530121,
+ "epoch": 4.25414364640884,
+ "grad_norm": 0.7617276906967163,
+ "learning_rate": 6.62076832011669e-05,
+ "loss": 0.025818097591400146,
+ "mean_token_accuracy": 0.990347957611084,
+ "num_tokens": 47458747.0,
+ "step": 2310
+ },
+ {
+ "entropy": 0.9691080570220947,
+ "epoch": 4.27255985267035,
+ "grad_norm": 0.6743029952049255,
+ "learning_rate": 6.591929201414124e-05,
+ "loss": 0.02456912100315094,
+ "mean_token_accuracy": 0.9905289709568024,
+ "num_tokens": 47663643.0,
+ "step": 2320
+ },
+ {
+ "entropy": 0.9701108932495117,
+ "epoch": 4.29097605893186,
+ "grad_norm": 0.6964483261108398,
+ "learning_rate": 6.56303102733046e-05,
+ "loss": 0.02575681209564209,
+ "mean_token_accuracy": 0.9898503363132477,
+ "num_tokens": 47868982.0,
+ "step": 2330
+ },
+ {
+ "entropy": 0.969528192281723,
+ "epoch": 4.30939226519337,
+ "grad_norm": 0.7521987557411194,
+ "learning_rate": 6.5340748698937e-05,
+ "loss": 0.02678089737892151,
+ "mean_token_accuracy": 0.9898572087287902,
+ "num_tokens": 48074314.0,
+ "step": 2340
+ },
+ {
+ "entropy": 0.9921871721744537,
+ "epoch": 4.327808471454881,
+ "grad_norm": 0.6944513320922852,
+ "learning_rate": 6.505061803282844e-05,
+ "loss": 0.025553321838378905,
+ "mean_token_accuracy": 0.9907529592514038,
+ "num_tokens": 48279731.0,
+ "step": 2350
+ },
+ {
+ "entropy": 0.9768964886665344,
+ "epoch": 4.346224677716391,
+ "grad_norm": 0.6553092002868652,
+ "learning_rate": 6.47599290378803e-05,
+ "loss": 0.0250235915184021,
+ "mean_token_accuracy": 0.9904054701328278,
+ "num_tokens": 48485401.0,
+ "step": 2360
+ },
+ {
+ "entropy": 0.9612838506698609,
+ "epoch": 4.3646408839779,
+ "grad_norm": 0.916820228099823,
+ "learning_rate": 6.446869249770619e-05,
+ "loss": 0.028156182169914244,
+ "mean_token_accuracy": 0.9888657331466675,
+ "num_tokens": 48691047.0,
+ "step": 2370
+ },
+ {
+ "entropy": 0.9665832936763763,
+ "epoch": 4.383057090239411,
+ "grad_norm": 0.9197776913642883,
+ "learning_rate": 6.417691921623185e-05,
+ "loss": 0.025303921103477477,
+ "mean_token_accuracy": 0.989986252784729,
+ "num_tokens": 48896234.0,
+ "step": 2380
+ },
+ {
+ "entropy": 0.9686589121818543,
+ "epoch": 4.401473296500921,
+ "grad_norm": 0.8505764603614807,
+ "learning_rate": 6.388462001729434e-05,
+ "loss": 0.024816396832466125,
+ "mean_token_accuracy": 0.9909265041351318,
+ "num_tokens": 49101893.0,
+ "step": 2390
+ },
+ {
+ "entropy": 0.9625210344791413,
+ "epoch": 4.419889502762431,
+ "grad_norm": 1.0601766109466553,
+ "learning_rate": 6.359180574424062e-05,
+ "loss": 0.02706078290939331,
+ "mean_token_accuracy": 0.9895522117614746,
+ "num_tokens": 49307467.0,
+ "step": 2400
+ },
+ {
+ "entropy": 0.9679551541805267,
+ "epoch": 4.4383057090239415,
+ "grad_norm": 0.776253879070282,
+ "learning_rate": 6.329848725952514e-05,
+ "loss": 0.02693203091621399,
+ "mean_token_accuracy": 0.9893981635570526,
+ "num_tokens": 49513020.0,
+ "step": 2410
+ },
+ {
+ "entropy": 0.9704959928989411,
+ "epoch": 4.456721915285451,
+ "grad_norm": 0.5459668636322021,
+ "learning_rate": 6.3004675444307e-05,
+ "loss": 0.0279473751783371,
+ "mean_token_accuracy": 0.9894329369068146,
+ "num_tokens": 49718405.0,
+ "step": 2420
+ },
+ {
+ "entropy": 0.961863350868225,
+ "epoch": 4.475138121546961,
+ "grad_norm": 0.9338833093643188,
+ "learning_rate": 6.27103811980462e-05,
+ "loss": 0.026478803157806395,
+ "mean_token_accuracy": 0.9902269721031189,
+ "num_tokens": 49923375.0,
+ "step": 2430
+ },
+ {
+ "entropy": 0.9708506822586059,
+ "epoch": 4.4935543278084715,
+ "grad_norm": 0.9073707461357117,
+ "learning_rate": 6.241561543809947e-05,
+ "loss": 0.025289520621299744,
+ "mean_token_accuracy": 0.9904769957065582,
+ "num_tokens": 50128901.0,
+ "step": 2440
+ },
+ {
+ "entropy": 0.984996622800827,
+ "epoch": 4.511970534069982,
+ "grad_norm": 0.8674206733703613,
+ "learning_rate": 6.212038909931503e-05,
+ "loss": 0.026442551612854005,
+ "mean_token_accuracy": 0.9905101835727692,
+ "num_tokens": 50334449.0,
+ "step": 2450
+ },
+ {
+ "entropy": 0.9926377475261688,
+ "epoch": 4.530386740331492,
+ "grad_norm": 0.7571811079978943,
+ "learning_rate": 6.182471313362717e-05,
+ "loss": 0.026819539070129395,
+ "mean_token_accuracy": 0.9898989200592041,
+ "num_tokens": 50539597.0,
+ "step": 2460
+ },
+ {
+ "entropy": 0.9450563549995422,
+ "epoch": 4.5488029465930016,
+ "grad_norm": 0.6651087403297424,
+ "learning_rate": 6.15285985096498e-05,
+ "loss": 0.02665227949619293,
+ "mean_token_accuracy": 0.9897156655788422,
+ "num_tokens": 50744926.0,
+ "step": 2470
+ },
+ {
+ "entropy": 0.9715635657310486,
+ "epoch": 4.567219152854512,
+ "grad_norm": 0.7445545196533203,
+ "learning_rate": 6.12320562122697e-05,
+ "loss": 0.026212453842163086,
+ "mean_token_accuracy": 0.9904700636863708,
+ "num_tokens": 50950152.0,
+ "step": 2480
+ },
+ {
+ "entropy": 0.9613442063331604,
+ "epoch": 4.585635359116022,
+ "grad_norm": 0.7168459296226501,
+ "learning_rate": 6.0935097242238837e-05,
+ "loss": 0.02508128583431244,
+ "mean_token_accuracy": 0.9901923894882202,
+ "num_tokens": 51155430.0,
+ "step": 2490
+ },
+ {
+ "entropy": 0.9571944534778595,
+ "epoch": 4.6040515653775325,
+ "grad_norm": 0.7590732574462891,
+ "learning_rate": 6.063773261576646e-05,
+ "loss": 0.025445500016212465,
+ "mean_token_accuracy": 0.9902949810028077,
+ "num_tokens": 51360826.0,
+ "step": 2500
+ },
+ {
+ "entropy": 0.947079461812973,
+ "epoch": 4.622467771639043,
+ "grad_norm": 0.6942175030708313,
+ "learning_rate": 6.033997336411035e-05,
+ "loss": 0.026132801175117494,
+ "mean_token_accuracy": 0.9900939345359803,
+ "num_tokens": 51566095.0,
+ "step": 2510
+ },
+ {
+ "entropy": 0.970003741979599,
+ "epoch": 4.640883977900552,
+ "grad_norm": 0.6562672257423401,
+ "learning_rate": 6.00418305331675e-05,
+ "loss": 0.024759869277477264,
+ "mean_token_accuracy": 0.9905019223690033,
+ "num_tokens": 51771177.0,
+ "step": 2520
+ },
+ {
+ "entropy": 0.9715348601341247,
+ "epoch": 4.6593001841620625,
+ "grad_norm": 0.6151639819145203,
+ "learning_rate": 5.9743315183064564e-05,
+ "loss": 0.024138522148132325,
+ "mean_token_accuracy": 0.9910101473331452,
+ "num_tokens": 51976349.0,
+ "step": 2530
+ },
+ {
+ "entropy": 0.9552160143852234,
+ "epoch": 4.677716390423573,
+ "grad_norm": 0.968815267086029,
+ "learning_rate": 5.9444438387747336e-05,
+ "loss": 0.027274739742279053,
+ "mean_token_accuracy": 0.9896075248718261,
+ "num_tokens": 52181820.0,
+ "step": 2540
+ },
+ {
+ "entropy": 0.9265012145042419,
+ "epoch": 4.696132596685083,
+ "grad_norm": 0.8966720700263977,
+ "learning_rate": 5.914521123457015e-05,
+ "loss": 0.0291823148727417,
+ "mean_token_accuracy": 0.9886700630187988,
+ "num_tokens": 52387511.0,
+ "step": 2550
+ },
+ {
+ "entropy": 0.9156096875667572,
+ "epoch": 4.714548802946593,
+ "grad_norm": 0.7747519612312317,
+ "learning_rate": 5.88456448238844e-05,
+ "loss": 0.02809179127216339,
+ "mean_token_accuracy": 0.9891100466251374,
+ "num_tokens": 52592737.0,
+ "step": 2560
+ },
+ {
+ "entropy": 0.924511456489563,
+ "epoch": 4.732965009208103,
+ "grad_norm": 1.0087049007415771,
+ "learning_rate": 5.8545750268626844e-05,
+ "loss": 0.02683232128620148,
+ "mean_token_accuracy": 0.9896528899669648,
+ "num_tokens": 52798814.0,
+ "step": 2570
+ },
+ {
+ "entropy": 0.9662951111793519,
+ "epoch": 4.751381215469613,
+ "grad_norm": 0.7709590792655945,
+ "learning_rate": 5.824553869390734e-05,
+ "loss": 0.02503817081451416,
+ "mean_token_accuracy": 0.9900161385536194,
+ "num_tokens": 53004478.0,
+ "step": 2580
+ },
+ {
+ "entropy": 0.9889141619205475,
+ "epoch": 4.769797421731123,
+ "grad_norm": 0.815858006477356,
+ "learning_rate": 5.794502123659613e-05,
+ "loss": 0.026327347755432128,
+ "mean_token_accuracy": 0.9900785744190216,
+ "num_tokens": 53209888.0,
+ "step": 2590
+ },
+ {
+ "entropy": 0.9785685896873474,
+ "epoch": 4.788213627992634,
+ "grad_norm": 0.6514431238174438,
+ "learning_rate": 5.7644209044910735e-05,
+ "loss": 0.025033789873123168,
+ "mean_token_accuracy": 0.9902650475502014,
+ "num_tokens": 53415533.0,
+ "step": 2600
+ },
+ {
+ "entropy": 0.9723869919776916,
+ "epoch": 4.806629834254144,
+ "grad_norm": 0.8778963685035706,
+ "learning_rate": 5.7343113278002284e-05,
+ "loss": 0.02379843294620514,
+ "mean_token_accuracy": 0.9909472465515137,
+ "num_tokens": 53620850.0,
+ "step": 2610
+ },
+ {
+ "entropy": 0.9572711050510406,
+ "epoch": 4.8250460405156534,
+ "grad_norm": 0.8927134871482849,
+ "learning_rate": 5.70417451055417e-05,
+ "loss": 0.024856947362422943,
+ "mean_token_accuracy": 0.9904125213623047,
+ "num_tokens": 53826259.0,
+ "step": 2620
+ },
+ {
+ "entropy": 0.9523135125637054,
+ "epoch": 4.843462246777164,
+ "grad_norm": 0.6832691431045532,
+ "learning_rate": 5.674011570730523e-05,
+ "loss": 0.025352203845977785,
+ "mean_token_accuracy": 0.990432596206665,
+ "num_tokens": 54031531.0,
+ "step": 2630
+ },
+ {
+ "entropy": 0.9735220730304718,
+ "epoch": 4.861878453038674,
+ "grad_norm": 0.6399164795875549,
+ "learning_rate": 5.643823627275972e-05,
+ "loss": 0.026541513204574586,
+ "mean_token_accuracy": 0.9900369107723236,
+ "num_tokens": 54237155.0,
+ "step": 2640
+ },
+ {
+ "entropy": 0.9566517114639282,
+ "epoch": 4.880294659300184,
+ "grad_norm": 0.8725414276123047,
+ "learning_rate": 5.6136118000647616e-05,
+ "loss": 0.02675778865814209,
+ "mean_token_accuracy": 0.9894899427890778,
+ "num_tokens": 54442739.0,
+ "step": 2650
+ },
+ {
+ "entropy": 0.9447909593582153,
+ "epoch": 4.898710865561695,
+ "grad_norm": 0.8169302344322205,
+ "learning_rate": 5.583377209857138e-05,
+ "loss": 0.02642086148262024,
+ "mean_token_accuracy": 0.989885401725769,
+ "num_tokens": 54648098.0,
+ "step": 2660
+ },
+ {
+ "entropy": 0.9180052697658538,
+ "epoch": 4.917127071823204,
+ "grad_norm": 0.7768753170967102,
+ "learning_rate": 5.553120978257787e-05,
+ "loss": 0.02552323341369629,
+ "mean_token_accuracy": 0.9899512350559234,
+ "num_tokens": 54854281.0,
+ "step": 2670
+ },
+ {
+ "entropy": 0.917166668176651,
+ "epoch": 4.935543278084714,
+ "grad_norm": 0.8241410851478577,
+ "learning_rate": 5.5228442276742153e-05,
+ "loss": 0.02788199484348297,
+ "mean_token_accuracy": 0.989625746011734,
+ "num_tokens": 55059495.0,
+ "step": 2680
+ },
+ {
+ "entropy": 0.9345465302467346,
+ "epoch": 4.953959484346225,
+ "grad_norm": 0.7645496129989624,
+ "learning_rate": 5.4925480812751166e-05,
+ "loss": 0.02517639398574829,
+ "mean_token_accuracy": 0.9902283847332001,
+ "num_tokens": 55265381.0,
+ "step": 2690
+ },
+ {
+ "entropy": 0.9386432528495788,
+ "epoch": 4.972375690607735,
+ "grad_norm": 0.8371859192848206,
+ "learning_rate": 5.46223366294871e-05,
+ "loss": 0.025585666298866272,
+ "mean_token_accuracy": 0.9903791427612305,
+ "num_tokens": 55471210.0,
+ "step": 2700
+ },
+ {
+ "entropy": 0.9267561137676239,
+ "epoch": 4.990791896869245,
+ "grad_norm": 0.6789297461509705,
+ "learning_rate": 5.43190209726104e-05,
+ "loss": 0.024646708369255067,
+ "mean_token_accuracy": 0.9904700815677643,
+ "num_tokens": 55676877.0,
+ "step": 2710
+ },
+ {
+ "epoch": 5.0,
+ "eval_entropy": 0.9283919717954553,
+ "eval_loss": 0.06225527077913284,
+ "eval_mean_token_accuracy": 0.9784110421719758,
+ "eval_num_tokens": 55779559.0,
+ "eval_runtime": 10.0613,
+ "eval_samples_per_second": 363.573,
+ "eval_steps_per_second": 11.43,
+ "step": 2715
+ },
+ {
+ "entropy": 0.9269404351711273,
+ "epoch": 5.009208103130755,
+ "grad_norm": 0.540570080280304,
+ "learning_rate": 5.401554509414264e-05,
+ "loss": 0.019513805210590363,
+ "mean_token_accuracy": 0.9927033007144928,
+ "num_tokens": 55882241.0,
+ "step": 2720
+ },
+ {
+ "entropy": 0.9377441763877868,
+ "epoch": 5.027624309392265,
+ "grad_norm": 0.5840998888015747,
+ "learning_rate": 5.3711920252049085e-05,
+ "loss": 0.015180909633636474,
+ "mean_token_accuracy": 0.9944471418857574,
+ "num_tokens": 56087470.0,
+ "step": 2730
+ },
+ {
+ "entropy": 0.949122017621994,
+ "epoch": 5.046040515653775,
+ "grad_norm": 0.6938672065734863,
+ "learning_rate": 5.340815770982106e-05,
+ "loss": 0.0153742715716362,
+ "mean_token_accuracy": 0.9941534519195556,
+ "num_tokens": 56292226.0,
+ "step": 2740
+ },
+ {
+ "entropy": 0.9394402146339417,
+ "epoch": 5.064456721915286,
+ "grad_norm": 0.8259939551353455,
+ "learning_rate": 5.310426873605814e-05,
+ "loss": 0.014350908994674682,
+ "mean_token_accuracy": 0.9945570707321167,
+ "num_tokens": 56497839.0,
+ "step": 2750
+ },
+ {
+ "entropy": 0.9323545396327972,
+ "epoch": 5.082872928176796,
+ "grad_norm": 0.9675024747848511,
+ "learning_rate": 5.280026460405005e-05,
+ "loss": 0.016550135612487794,
+ "mean_token_accuracy": 0.9938908398151398,
+ "num_tokens": 56702932.0,
+ "step": 2760
+ },
+ {
+ "entropy": 0.89125554561615,
+ "epoch": 5.101289134438305,
+ "grad_norm": 0.8347184658050537,
+ "learning_rate": 5.2496156591358566e-05,
+ "loss": 0.017917826771736145,
+ "mean_token_accuracy": 0.9934309899806977,
+ "num_tokens": 56908644.0,
+ "step": 2770
+ },
+ {
+ "entropy": 0.8773505449295044,
+ "epoch": 5.119705340699816,
+ "grad_norm": 0.8869524598121643,
+ "learning_rate": 5.219195597939908e-05,
+ "loss": 0.017221055924892426,
+ "mean_token_accuracy": 0.993448656797409,
+ "num_tokens": 57114171.0,
+ "step": 2780
+ },
+ {
+ "entropy": 0.8874686002731323,
+ "epoch": 5.138121546961326,
+ "grad_norm": 1.0294251441955566,
+ "learning_rate": 5.1887674053022084e-05,
+ "loss": 0.018111808598041533,
+ "mean_token_accuracy": 0.9931293666362763,
+ "num_tokens": 57319158.0,
+ "step": 2790
+ },
+ {
+ "entropy": 0.8893351197242737,
+ "epoch": 5.156537753222836,
+ "grad_norm": 0.6253597736358643,
+ "learning_rate": 5.15833221000946e-05,
+ "loss": 0.017256538569927215,
+ "mean_token_accuracy": 0.9936724424362182,
+ "num_tokens": 57524901.0,
+ "step": 2800
+ },
+ {
+ "entropy": 0.9157109141349793,
+ "epoch": 5.1749539594843466,
+ "grad_norm": 0.6379142999649048,
+ "learning_rate": 5.12789114110814e-05,
+ "loss": 0.016415870189666747,
+ "mean_token_accuracy": 0.9939744889736175,
+ "num_tokens": 57730135.0,
+ "step": 2810
+ },
+ {
+ "entropy": 0.9157932877540589,
+ "epoch": 5.193370165745856,
+ "grad_norm": 0.7195688486099243,
+ "learning_rate": 5.097445327862619e-05,
+ "loss": 0.01577536463737488,
+ "mean_token_accuracy": 0.9941773355007172,
+ "num_tokens": 57936210.0,
+ "step": 2820
+ },
+ {
+ "entropy": 0.9179767727851867,
+ "epoch": 5.211786372007366,
+ "grad_norm": 0.7149335741996765,
+ "learning_rate": 5.066995899713264e-05,
+ "loss": 0.01606254279613495,
+ "mean_token_accuracy": 0.9937664806842804,
+ "num_tokens": 58141736.0,
+ "step": 2830
+ },
+ {
+ "entropy": 0.895512479543686,
+ "epoch": 5.230202578268877,
+ "grad_norm": 0.6460169553756714,
+ "learning_rate": 5.036543986234543e-05,
+ "loss": 0.01605578660964966,
+ "mean_token_accuracy": 0.994063013792038,
+ "num_tokens": 58347178.0,
+ "step": 2840
+ },
+ {
+ "entropy": 0.8883109211921691,
+ "epoch": 5.248618784530387,
+ "grad_norm": 0.72477787733078,
+ "learning_rate": 5.006090717093128e-05,
+ "loss": 0.016773784160614015,
+ "mean_token_accuracy": 0.9940340936183929,
+ "num_tokens": 58552952.0,
+ "step": 2850
+ },
+ {
+ "entropy": 0.8942575633525849,
+ "epoch": 5.267034990791897,
+ "grad_norm": 0.7344926595687866,
+ "learning_rate": 4.9756372220059736e-05,
+ "loss": 0.01604126989841461,
+ "mean_token_accuracy": 0.994256991147995,
+ "num_tokens": 58758449.0,
+ "step": 2860
+ },
+ {
+ "entropy": 0.8854099690914154,
+ "epoch": 5.285451197053407,
+ "grad_norm": 0.6142122149467468,
+ "learning_rate": 4.9451846306984214e-05,
+ "loss": 0.016244474053382873,
+ "mean_token_accuracy": 0.9938375532627106,
+ "num_tokens": 58963691.0,
+ "step": 2870
+ },
+ {
+ "entropy": 0.8745675146579742,
+ "epoch": 5.303867403314917,
+ "grad_norm": 0.8025366067886353,
+ "learning_rate": 4.9147340728622816e-05,
+ "loss": 0.01611460596323013,
+ "mean_token_accuracy": 0.9941173672676087,
+ "num_tokens": 59169484.0,
+ "step": 2880
+ },
+ {
+ "entropy": 0.8812389194965362,
+ "epoch": 5.322283609576427,
+ "grad_norm": 0.7699193358421326,
+ "learning_rate": 4.884286678113935e-05,
+ "loss": 0.016995206475257874,
+ "mean_token_accuracy": 0.9937523245811463,
+ "num_tokens": 59374627.0,
+ "step": 2890
+ },
+ {
+ "entropy": 0.8924362242221833,
+ "epoch": 5.3406998158379375,
+ "grad_norm": 0.7516226172447205,
+ "learning_rate": 4.853843575952414e-05,
+ "loss": 0.01652217358350754,
+ "mean_token_accuracy": 0.9936819314956665,
+ "num_tokens": 59580135.0,
+ "step": 2900
+ },
+ {
+ "entropy": 0.8972602427005768,
+ "epoch": 5.359116022099448,
+ "grad_norm": 0.7781681418418884,
+ "learning_rate": 4.823405895717521e-05,
+ "loss": 0.017360319197177888,
+ "mean_token_accuracy": 0.9935634732246399,
+ "num_tokens": 59785392.0,
+ "step": 2910
+ },
+ {
+ "entropy": 0.900998342037201,
+ "epoch": 5.377532228360957,
+ "grad_norm": 0.6837047934532166,
+ "learning_rate": 4.792974766547911e-05,
+ "loss": 0.017162233591079712,
+ "mean_token_accuracy": 0.993264091014862,
+ "num_tokens": 59991448.0,
+ "step": 2920
+ },
+ {
+ "entropy": 0.9239763855934143,
+ "epoch": 5.3959484346224675,
+ "grad_norm": 0.7188259363174438,
+ "learning_rate": 4.762551317339226e-05,
+ "loss": 0.01718595027923584,
+ "mean_token_accuracy": 0.9933857440948486,
+ "num_tokens": 60197079.0,
+ "step": 2930
+ },
+ {
+ "entropy": 0.9056789398193359,
+ "epoch": 5.414364640883978,
+ "grad_norm": 0.6922260522842407,
+ "learning_rate": 4.732136676702198e-05,
+ "loss": 0.016596907377243043,
+ "mean_token_accuracy": 0.9937462329864502,
+ "num_tokens": 60402299.0,
+ "step": 2940
+ },
+ {
+ "entropy": 0.9038522362709045,
+ "epoch": 5.432780847145488,
+ "grad_norm": 0.7937009930610657,
+ "learning_rate": 4.7017319729207954e-05,
+ "loss": 0.016130413115024566,
+ "mean_token_accuracy": 0.9941940546035767,
+ "num_tokens": 60607907.0,
+ "step": 2950
+ },
+ {
+ "entropy": 0.8911147236824035,
+ "epoch": 5.4511970534069984,
+ "grad_norm": 0.6261171698570251,
+ "learning_rate": 4.671338333910359e-05,
+ "loss": 0.01622493863105774,
+ "mean_token_accuracy": 0.9937945663928985,
+ "num_tokens": 60813428.0,
+ "step": 2960
+ },
+ {
+ "entropy": 0.8894322276115417,
+ "epoch": 5.469613259668508,
+ "grad_norm": 0.6898378729820251,
+ "learning_rate": 4.6409568871757645e-05,
+ "loss": 0.016513559222221374,
+ "mean_token_accuracy": 0.9936174690723419,
+ "num_tokens": 61018404.0,
+ "step": 2970
+ },
+ {
+ "entropy": 0.9026601016521454,
+ "epoch": 5.488029465930018,
+ "grad_norm": 0.7027897834777832,
+ "learning_rate": 4.610588759769593e-05,
+ "loss": 0.016727012395858765,
+ "mean_token_accuracy": 0.9941417872905731,
+ "num_tokens": 61223660.0,
+ "step": 2980
+ },
+ {
+ "entropy": 0.8903301954269409,
+ "epoch": 5.5064456721915285,
+ "grad_norm": 0.9087063074111938,
+ "learning_rate": 4.5802350782503196e-05,
+ "loss": 0.016929233074188234,
+ "mean_token_accuracy": 0.9935264468193055,
+ "num_tokens": 61429438.0,
+ "step": 2990
+ },
+ {
+ "entropy": 0.8886692762374878,
+ "epoch": 5.524861878453039,
+ "grad_norm": 0.8283822536468506,
+ "learning_rate": 4.5498969686405266e-05,
+ "loss": 0.015396638214588166,
+ "mean_token_accuracy": 0.99433131814003,
+ "num_tokens": 61635274.0,
+ "step": 3000
+ },
+ {
+ "entropy": 0.8902086555957794,
+ "epoch": 5.543278084714549,
+ "grad_norm": 0.7676647305488586,
+ "learning_rate": 4.5195755563851336e-05,
+ "loss": 0.01673731654882431,
+ "mean_token_accuracy": 0.9938134133815766,
+ "num_tokens": 61840778.0,
+ "step": 3010
+ },
+ {
+ "entropy": 0.8941606819629669,
+ "epoch": 5.5616942909760585,
+ "grad_norm": 0.7026392221450806,
+ "learning_rate": 4.489271966309634e-05,
+ "loss": 0.01694796681404114,
+ "mean_token_accuracy": 0.9936233103275299,
+ "num_tokens": 62046355.0,
+ "step": 3020
+ },
+ {
+ "entropy": 0.90918750166893,
+ "epoch": 5.580110497237569,
+ "grad_norm": 0.7146924734115601,
+ "learning_rate": 4.4589873225783806e-05,
+ "loss": 0.01852080672979355,
+ "mean_token_accuracy": 0.9928994178771973,
+ "num_tokens": 62251709.0,
+ "step": 3030
+ },
+ {
+ "entropy": 0.8946544349193573,
+ "epoch": 5.598526703499079,
+ "grad_norm": 0.607246458530426,
+ "learning_rate": 4.428722748652881e-05,
+ "loss": 0.016636812686920167,
+ "mean_token_accuracy": 0.9939334273338318,
+ "num_tokens": 62456680.0,
+ "step": 3040
+ },
+ {
+ "entropy": 0.8854653835296631,
+ "epoch": 5.616942909760589,
+ "grad_norm": 0.7457882165908813,
+ "learning_rate": 4.3984793672501124e-05,
+ "loss": 0.016008296608924867,
+ "mean_token_accuracy": 0.9940589666366577,
+ "num_tokens": 62662038.0,
+ "step": 3050
+ },
+ {
+ "entropy": 0.8921085000038147,
+ "epoch": 5.6353591160221,
+ "grad_norm": 0.7707350254058838,
+ "learning_rate": 4.368258300300888e-05,
+ "loss": 0.016655120253562927,
+ "mean_token_accuracy": 0.993935889005661,
+ "num_tokens": 62867272.0,
+ "step": 3060
+ },
+ {
+ "entropy": 0.8768653869628906,
+ "epoch": 5.653775322283609,
+ "grad_norm": 0.6994554996490479,
+ "learning_rate": 4.3380606689082166e-05,
+ "loss": 0.015841150283813478,
+ "mean_token_accuracy": 0.9944550096988678,
+ "num_tokens": 63072403.0,
+ "step": 3070
+ },
+ {
+ "entropy": 0.8767679035663605,
+ "epoch": 5.672191528545119,
+ "grad_norm": 0.8327192068099976,
+ "learning_rate": 4.307887593305733e-05,
+ "loss": 0.015826576948165895,
+ "mean_token_accuracy": 0.9941202461719513,
+ "num_tokens": 63277635.0,
+ "step": 3080
+ },
+ {
+ "entropy": 0.8763292253017425,
+ "epoch": 5.69060773480663,
+ "grad_norm": 0.7224747538566589,
+ "learning_rate": 4.277740192816127e-05,
+ "loss": 0.015298140048980714,
+ "mean_token_accuracy": 0.9943080008029938,
+ "num_tokens": 63483196.0,
+ "step": 3090
+ },
+ {
+ "entropy": 0.8834661841392517,
+ "epoch": 5.70902394106814,
+ "grad_norm": 0.9508277773857117,
+ "learning_rate": 4.247619585809627e-05,
+ "loss": 0.01658404469490051,
+ "mean_token_accuracy": 0.9934300124645233,
+ "num_tokens": 63688721.0,
+ "step": 3100
+ },
+ {
+ "entropy": 0.899389523267746,
+ "epoch": 5.72744014732965,
+ "grad_norm": 0.7170981168746948,
+ "learning_rate": 4.217526889662512e-05,
+ "loss": 0.015803813934326172,
+ "mean_token_accuracy": 0.9940325975418091,
+ "num_tokens": 63894220.0,
+ "step": 3110
+ },
+ {
+ "entropy": 0.8968011736869812,
+ "epoch": 5.74585635359116,
+ "grad_norm": 0.6686251163482666,
+ "learning_rate": 4.187463220715659e-05,
+ "loss": 0.015874400734901428,
+ "mean_token_accuracy": 0.9940970957279205,
+ "num_tokens": 64099768.0,
+ "step": 3120
+ },
+ {
+ "entropy": 0.8900792479515076,
+ "epoch": 5.76427255985267,
+ "grad_norm": 0.5979828238487244,
+ "learning_rate": 4.157429694233128e-05,
+ "loss": 0.01613767147064209,
+ "mean_token_accuracy": 0.9942961037158966,
+ "num_tokens": 64305055.0,
+ "step": 3130
+ },
+ {
+ "entropy": 0.8899810135364532,
+ "epoch": 5.78268876611418,
+ "grad_norm": 0.7330048084259033,
+ "learning_rate": 4.127427424360794e-05,
+ "loss": 0.016168563067913054,
+ "mean_token_accuracy": 0.9941077649593353,
+ "num_tokens": 64510002.0,
+ "step": 3140
+ },
+ {
+ "entropy": 0.8805335581302642,
+ "epoch": 5.801104972375691,
+ "grad_norm": 0.5978623032569885,
+ "learning_rate": 4.09745752408501e-05,
+ "loss": 0.01524556577205658,
+ "mean_token_accuracy": 0.994326776266098,
+ "num_tokens": 64715431.0,
+ "step": 3150
+ },
+ {
+ "entropy": 0.878781646490097,
+ "epoch": 5.819521178637201,
+ "grad_norm": 0.6749313473701477,
+ "learning_rate": 4.067521105191331e-05,
+ "loss": 0.015209287405014038,
+ "mean_token_accuracy": 0.9942974805831909,
+ "num_tokens": 64921579.0,
+ "step": 3160
+ },
+ {
+ "entropy": 0.8844729900360108,
+ "epoch": 5.83793738489871,
+ "grad_norm": 0.6887196898460388,
+ "learning_rate": 4.037619278223255e-05,
+ "loss": 0.01619938760995865,
+ "mean_token_accuracy": 0.9937683045864105,
+ "num_tokens": 65127007.0,
+ "step": 3170
+ },
+ {
+ "entropy": 0.8780498623847961,
+ "epoch": 5.856353591160221,
+ "grad_norm": 0.6962174773216248,
+ "learning_rate": 4.0077531524410304e-05,
+ "loss": 0.015934592485427855,
+ "mean_token_accuracy": 0.9935103774070739,
+ "num_tokens": 65332418.0,
+ "step": 3180
+ },
+ {
+ "entropy": 0.8889612555503845,
+ "epoch": 5.874769797421731,
+ "grad_norm": 0.6049854159355164,
+ "learning_rate": 3.977923835780517e-05,
+ "loss": 0.01600206792354584,
+ "mean_token_accuracy": 0.9937360048294067,
+ "num_tokens": 65537845.0,
+ "step": 3190
+ },
+ {
+ "entropy": 0.8960810244083405,
+ "epoch": 5.893186003683241,
+ "grad_norm": 0.6341013312339783,
+ "learning_rate": 3.948132434812065e-05,
+ "loss": 0.0143389493227005,
+ "mean_token_accuracy": 0.9948007702827454,
+ "num_tokens": 65743412.0,
+ "step": 3200
+ },
+ {
+ "entropy": 0.887304550409317,
+ "epoch": 5.911602209944752,
+ "grad_norm": 0.7564852237701416,
+ "learning_rate": 3.9183800546994886e-05,
+ "loss": 0.016044440865516662,
+ "mean_token_accuracy": 0.9939335525035858,
+ "num_tokens": 65948884.0,
+ "step": 3210
+ },
+ {
+ "entropy": 0.8823239862918854,
+ "epoch": 5.930018416206261,
+ "grad_norm": 0.6525556445121765,
+ "learning_rate": 3.8886677991590435e-05,
+ "loss": 0.016112390160560607,
+ "mean_token_accuracy": 0.9938134670257568,
+ "num_tokens": 66153768.0,
+ "step": 3220
+ },
+ {
+ "entropy": 0.8712829887866974,
+ "epoch": 5.948434622467771,
+ "grad_norm": 0.676167368888855,
+ "learning_rate": 3.858996770418504e-05,
+ "loss": 0.015146306157112122,
+ "mean_token_accuracy": 0.9944733619689942,
+ "num_tokens": 66359661.0,
+ "step": 3230
+ },
+ {
+ "entropy": 0.8734102070331573,
+ "epoch": 5.966850828729282,
+ "grad_norm": 0.6284340023994446,
+ "learning_rate": 3.829368069176257e-05,
+ "loss": 0.017269474267959595,
+ "mean_token_accuracy": 0.9938443183898926,
+ "num_tokens": 66565228.0,
+ "step": 3240
+ },
+ {
+ "entropy": 0.8757335782051087,
+ "epoch": 5.985267034990792,
+ "grad_norm": 0.722522497177124,
+ "learning_rate": 3.799782794560484e-05,
+ "loss": 0.015032704174518585,
+ "mean_token_accuracy": 0.9942249894142151,
+ "num_tokens": 66770718.0,
+ "step": 3250
+ },
+ {
+ "epoch": 6.0,
+ "eval_entropy": 0.8780099873957427,
+ "eval_loss": 0.06740746647119522,
+ "eval_mean_token_accuracy": 0.9795082377350849,
+ "eval_num_tokens": 66935435.0,
+ "eval_runtime": 10.0955,
+ "eval_samples_per_second": 362.34,
+ "eval_steps_per_second": 11.391,
+ "step": 3258
+ },
+ {
+ "entropy": 0.8773481965065002,
+ "epoch": 6.003683241252302,
+ "grad_norm": 0.49184396862983704,
+ "learning_rate": 3.770242044088375e-05,
+ "loss": 0.013721099495887757,
+ "mean_token_accuracy": 0.9951768457889557,
+ "num_tokens": 66976478.0,
+ "step": 3260
+ },
+ {
+ "entropy": 0.8643155217170715,
+ "epoch": 6.0220994475138125,
+ "grad_norm": 0.4903622567653656,
+ "learning_rate": 3.7407469136254234e-05,
+ "loss": 0.009165047109127045,
+ "mean_token_accuracy": 0.9969388306140899,
+ "num_tokens": 67182251.0,
+ "step": 3270
+ },
+ {
+ "entropy": 0.8560326337814331,
+ "epoch": 6.040515653775322,
+ "grad_norm": 0.6360073685646057,
+ "learning_rate": 3.711298497344766e-05,
+ "loss": 0.010200753808021545,
+ "mean_token_accuracy": 0.9964211463928223,
+ "num_tokens": 67387493.0,
+ "step": 3280
+ },
+ {
+ "entropy": 0.8391405165195465,
+ "epoch": 6.058931860036832,
+ "grad_norm": 0.519554853439331,
+ "learning_rate": 3.6818978876865984e-05,
+ "loss": 0.008906974643468856,
+ "mean_token_accuracy": 0.9966452360153198,
+ "num_tokens": 67593314.0,
+ "step": 3290
+ },
+ {
+ "entropy": 0.8300552070140839,
+ "epoch": 6.077348066298343,
+ "grad_norm": 0.5294632911682129,
+ "learning_rate": 3.6525461753176426e-05,
+ "loss": 0.008088209480047227,
+ "mean_token_accuracy": 0.9971098065376282,
+ "num_tokens": 67798634.0,
+ "step": 3300
+ },
+ {
+ "entropy": 0.822588461637497,
+ "epoch": 6.095764272559853,
+ "grad_norm": 0.46423637866973877,
+ "learning_rate": 3.623244449090697e-05,
+ "loss": 0.008058926463127137,
+ "mean_token_accuracy": 0.9970856845378876,
+ "num_tokens": 68003683.0,
+ "step": 3310
+ },
+ {
+ "entropy": 0.8130167067050934,
+ "epoch": 6.114180478821363,
+ "grad_norm": 0.497258722782135,
+ "learning_rate": 3.5939937960042314e-05,
+ "loss": 0.008712668716907502,
+ "mean_token_accuracy": 0.996820193529129,
+ "num_tokens": 68208795.0,
+ "step": 3320
+ },
+ {
+ "entropy": 0.8035802125930787,
+ "epoch": 6.132596685082873,
+ "grad_norm": 0.43152952194213867,
+ "learning_rate": 3.5647953011620716e-05,
+ "loss": 0.008366625010967254,
+ "mean_token_accuracy": 0.9969616234302521,
+ "num_tokens": 68414414.0,
+ "step": 3330
+ },
+ {
+ "entropy": 0.8028200149536133,
+ "epoch": 6.151012891344383,
+ "grad_norm": 0.6057612299919128,
+ "learning_rate": 3.535650047733141e-05,
+ "loss": 0.00967741459608078,
+ "mean_token_accuracy": 0.9963694036006927,
+ "num_tokens": 68619806.0,
+ "step": 3340
+ },
+ {
+ "entropy": 0.7982640087604522,
+ "epoch": 6.169429097605893,
+ "grad_norm": 0.4966030716896057,
+ "learning_rate": 3.5065591169112785e-05,
+ "loss": 0.00934397652745247,
+ "mean_token_accuracy": 0.9969527781009674,
+ "num_tokens": 68825254.0,
+ "step": 3350
+ },
+ {
+ "entropy": 0.7859498977661132,
+ "epoch": 6.1878453038674035,
+ "grad_norm": 0.6962474584579468,
+ "learning_rate": 3.477523587875139e-05,
+ "loss": 0.010414297878742217,
+ "mean_token_accuracy": 0.996203750371933,
+ "num_tokens": 69031043.0,
+ "step": 3360
+ },
+ {
+ "entropy": 0.7869667530059814,
+ "epoch": 6.206261510128914,
+ "grad_norm": 0.6078894734382629,
+ "learning_rate": 3.448544537748143e-05,
+ "loss": 0.008547455072402954,
+ "mean_token_accuracy": 0.9968406975269317,
+ "num_tokens": 69236559.0,
+ "step": 3370
+ },
+ {
+ "entropy": 0.8036401033401489,
+ "epoch": 6.224677716390423,
+ "grad_norm": 0.5990306735038757,
+ "learning_rate": 3.4196230415585337e-05,
+ "loss": 0.00924447700381279,
+ "mean_token_accuracy": 0.9967190623283386,
+ "num_tokens": 69441764.0,
+ "step": 3380
+ },
+ {
+ "entropy": 0.8085561394691467,
+ "epoch": 6.2430939226519335,
+ "grad_norm": 0.46029484272003174,
+ "learning_rate": 3.390760172199486e-05,
+ "loss": 0.008379801362752914,
+ "mean_token_accuracy": 0.9970395743846894,
+ "num_tokens": 69647075.0,
+ "step": 3390
+ },
+ {
+ "entropy": 0.8132422208786011,
+ "epoch": 6.261510128913444,
+ "grad_norm": 0.5699496865272522,
+ "learning_rate": 3.361957000389315e-05,
+ "loss": 0.009426499903202056,
+ "mean_token_accuracy": 0.996586662530899,
+ "num_tokens": 69852809.0,
+ "step": 3400
+ },
+ {
+ "entropy": 0.8065890491008758,
+ "epoch": 6.279926335174954,
+ "grad_norm": 0.6212234497070312,
+ "learning_rate": 3.33321459463175e-05,
+ "loss": 0.009811153262853622,
+ "mean_token_accuracy": 0.9965905249118805,
+ "num_tokens": 70057955.0,
+ "step": 3410
+ },
+ {
+ "entropy": 0.7904254853725433,
+ "epoch": 6.298342541436464,
+ "grad_norm": 0.8000790476799011,
+ "learning_rate": 3.304534021176299e-05,
+ "loss": 0.00957801640033722,
+ "mean_token_accuracy": 0.9964518308639526,
+ "num_tokens": 70263517.0,
+ "step": 3420
+ },
+ {
+ "entropy": 0.7971100151538849,
+ "epoch": 6.316758747697974,
+ "grad_norm": 0.6359512209892273,
+ "learning_rate": 3.275916343978689e-05,
+ "loss": 0.009681916236877442,
+ "mean_token_accuracy": 0.9967545390129089,
+ "num_tokens": 70468400.0,
+ "step": 3430
+ },
+ {
+ "entropy": 0.7987187504768372,
+ "epoch": 6.335174953959484,
+ "grad_norm": 0.5094901919364929,
+ "learning_rate": 3.247362624661406e-05,
+ "loss": 0.009966370463371278,
+ "mean_token_accuracy": 0.9964035987854004,
+ "num_tokens": 70673648.0,
+ "step": 3440
+ },
+ {
+ "entropy": 0.7850228011608124,
+ "epoch": 6.3535911602209945,
+ "grad_norm": 0.5554385185241699,
+ "learning_rate": 3.218873922474303e-05,
+ "loss": 0.009521079063415528,
+ "mean_token_accuracy": 0.9966651916503906,
+ "num_tokens": 70879452.0,
+ "step": 3450
+ },
+ {
+ "entropy": 0.7885844230651855,
+ "epoch": 6.372007366482505,
+ "grad_norm": 0.5217951536178589,
+ "learning_rate": 3.190451294255314e-05,
+ "loss": 0.00949474424123764,
+ "mean_token_accuracy": 0.9966598808765411,
+ "num_tokens": 71085217.0,
+ "step": 3460
+ },
+ {
+ "entropy": 0.797072297334671,
+ "epoch": 6.390423572744015,
+ "grad_norm": 0.5385560393333435,
+ "learning_rate": 3.162095794391241e-05,
+ "loss": 0.009810312837362289,
+ "mean_token_accuracy": 0.9965846955776214,
+ "num_tokens": 71290955.0,
+ "step": 3470
+ },
+ {
+ "entropy": 0.8024774849414825,
+ "epoch": 6.4088397790055245,
+ "grad_norm": 0.5419294238090515,
+ "learning_rate": 3.1338084747786456e-05,
+ "loss": 0.009127366542816161,
+ "mean_token_accuracy": 0.9968222141265869,
+ "num_tokens": 71496654.0,
+ "step": 3480
+ },
+ {
+ "entropy": 0.8082470417022705,
+ "epoch": 6.427255985267035,
+ "grad_norm": 0.7315362095832825,
+ "learning_rate": 3.105590384784821e-05,
+ "loss": 0.008642691373825073,
+ "mean_token_accuracy": 0.9970867097377777,
+ "num_tokens": 71701725.0,
+ "step": 3490
+ },
+ {
+ "entropy": 0.804630172252655,
+ "epoch": 6.445672191528545,
+ "grad_norm": 0.6668549180030823,
+ "learning_rate": 3.0774425712088676e-05,
+ "loss": 0.008679335564374923,
+ "mean_token_accuracy": 0.9969714701175689,
+ "num_tokens": 71907003.0,
+ "step": 3500
+ },
+ {
+ "entropy": 0.7939219176769257,
+ "epoch": 6.464088397790055,
+ "grad_norm": 0.8388434648513794,
+ "learning_rate": 3.049366078242864e-05,
+ "loss": 0.009249264001846313,
+ "mean_token_accuracy": 0.99674671292305,
+ "num_tokens": 72112532.0,
+ "step": 3510
+ },
+ {
+ "entropy": 0.78477823138237,
+ "epoch": 6.482504604051566,
+ "grad_norm": 0.4963231682777405,
+ "learning_rate": 3.021361947433125e-05,
+ "loss": 0.009192919731140137,
+ "mean_token_accuracy": 0.9965968191623688,
+ "num_tokens": 72318518.0,
+ "step": 3520
+ },
+ {
+ "entropy": 0.7841647148132325,
+ "epoch": 6.500920810313076,
+ "grad_norm": 0.5681823492050171,
+ "learning_rate": 2.9934312176415636e-05,
+ "loss": 0.008821797370910645,
+ "mean_token_accuracy": 0.9968703150749206,
+ "num_tokens": 72524548.0,
+ "step": 3530
+ },
+ {
+ "entropy": 0.7848304688930512,
+ "epoch": 6.519337016574585,
+ "grad_norm": 0.7126080393791199,
+ "learning_rate": 2.965574925007154e-05,
+ "loss": 0.009742744266986847,
+ "mean_token_accuracy": 0.9964317202568054,
+ "num_tokens": 72729659.0,
+ "step": 3540
+ },
+ {
+ "entropy": 0.7899512410163879,
+ "epoch": 6.537753222836096,
+ "grad_norm": 0.7015056014060974,
+ "learning_rate": 2.9377941029074986e-05,
+ "loss": 0.008977667987346649,
+ "mean_token_accuracy": 0.9968570172786713,
+ "num_tokens": 72934865.0,
+ "step": 3550
+ },
+ {
+ "entropy": 0.797937935590744,
+ "epoch": 6.556169429097606,
+ "grad_norm": 0.700501024723053,
+ "learning_rate": 2.910089781920486e-05,
+ "loss": 0.00973074734210968,
+ "mean_token_accuracy": 0.996515303850174,
+ "num_tokens": 73139684.0,
+ "step": 3560
+ },
+ {
+ "entropy": 0.7993333518505097,
+ "epoch": 6.574585635359116,
+ "grad_norm": 0.44471475481987,
+ "learning_rate": 2.882462989786061e-05,
+ "loss": 0.008206719905138016,
+ "mean_token_accuracy": 0.9968972980976105,
+ "num_tokens": 73345547.0,
+ "step": 3570
+ },
+ {
+ "entropy": 0.7961922466754914,
+ "epoch": 6.593001841620627,
+ "grad_norm": 0.5011329054832458,
+ "learning_rate": 2.854914751368109e-05,
+ "loss": 0.009073075652122498,
+ "mean_token_accuracy": 0.9968676805496216,
+ "num_tokens": 73550822.0,
+ "step": 3580
+ },
+ {
+ "entropy": 0.8064342319965363,
+ "epoch": 6.611418047882136,
+ "grad_norm": 0.6375740766525269,
+ "learning_rate": 2.82744608861642e-05,
+ "loss": 0.009309899061918259,
+ "mean_token_accuracy": 0.9967096745967865,
+ "num_tokens": 73756564.0,
+ "step": 3590
+ },
+ {
+ "entropy": 0.8025432348251342,
+ "epoch": 6.629834254143646,
+ "grad_norm": 0.8449372053146362,
+ "learning_rate": 2.8000580205287874e-05,
+ "loss": 0.009333166480064391,
+ "mean_token_accuracy": 0.9967890501022338,
+ "num_tokens": 73961849.0,
+ "step": 3600
+ },
+ {
+ "entropy": 0.8010810256004334,
+ "epoch": 6.648250460405157,
+ "grad_norm": 0.9473148584365845,
+ "learning_rate": 2.772751563113213e-05,
+ "loss": 0.00938543900847435,
+ "mean_token_accuracy": 0.996571558713913,
+ "num_tokens": 74167074.0,
+ "step": 3610
+ },
+ {
+ "entropy": 0.7954266011714936,
+ "epoch": 6.666666666666667,
+ "grad_norm": 0.4197849631309509,
+ "learning_rate": 2.7455277293502007e-05,
+ "loss": 0.008846811950206757,
+ "mean_token_accuracy": 0.9970432996749878,
+ "num_tokens": 74372119.0,
+ "step": 3620
+ },
+ {
+ "entropy": 0.7859483778476715,
+ "epoch": 6.685082872928177,
+ "grad_norm": 0.5353069305419922,
+ "learning_rate": 2.7183875291551892e-05,
+ "loss": 0.008807064592838287,
+ "mean_token_accuracy": 0.9969651758670807,
+ "num_tokens": 74577516.0,
+ "step": 3630
+ },
+ {
+ "entropy": 0.7940182387828827,
+ "epoch": 6.703499079189687,
+ "grad_norm": 0.5789965391159058,
+ "learning_rate": 2.6913319693410828e-05,
+ "loss": 0.008173662424087524,
+ "mean_token_accuracy": 0.9970715939998627,
+ "num_tokens": 74783031.0,
+ "step": 3640
+ },
+ {
+ "entropy": 0.7871349632740021,
+ "epoch": 6.721915285451197,
+ "grad_norm": 0.5887596011161804,
+ "learning_rate": 2.6643620535809076e-05,
+ "loss": 0.008517104387283325,
+ "mean_token_accuracy": 0.9969267845153809,
+ "num_tokens": 74988646.0,
+ "step": 3650
+ },
+ {
+ "entropy": 0.783170485496521,
+ "epoch": 6.740331491712707,
+ "grad_norm": 0.6228395104408264,
+ "learning_rate": 2.637478782370574e-05,
+ "loss": 0.008941689878702164,
+ "mean_token_accuracy": 0.9967794418334961,
+ "num_tokens": 75193938.0,
+ "step": 3660
+ },
+ {
+ "entropy": 0.7779926240444184,
+ "epoch": 6.758747697974218,
+ "grad_norm": 0.7367292642593384,
+ "learning_rate": 2.61068315299176e-05,
+ "loss": 0.009662539511919022,
+ "mean_token_accuracy": 0.9965554535388946,
+ "num_tokens": 75399816.0,
+ "step": 3670
+ },
+ {
+ "entropy": 0.7756146490573883,
+ "epoch": 6.777163904235728,
+ "grad_norm": 0.7478228807449341,
+ "learning_rate": 2.5839761594749167e-05,
+ "loss": 0.008691602945327758,
+ "mean_token_accuracy": 0.996806287765503,
+ "num_tokens": 75605531.0,
+ "step": 3680
+ },
+ {
+ "entropy": 0.7793804049491883,
+ "epoch": 6.795580110497237,
+ "grad_norm": 0.580205500125885,
+ "learning_rate": 2.5573587925623964e-05,
+ "loss": 0.00922732800245285,
+ "mean_token_accuracy": 0.9966219186782836,
+ "num_tokens": 75811143.0,
+ "step": 3690
+ },
+ {
+ "entropy": 0.7817609786987305,
+ "epoch": 6.813996316758748,
+ "grad_norm": 0.3849862813949585,
+ "learning_rate": 2.530832039671694e-05,
+ "loss": 0.00812167227268219,
+ "mean_token_accuracy": 0.9970280706882477,
+ "num_tokens": 76016366.0,
+ "step": 3700
+ },
+ {
+ "entropy": 0.7793294489383698,
+ "epoch": 6.832412523020258,
+ "grad_norm": 0.4873282313346863,
+ "learning_rate": 2.504396884858825e-05,
+ "loss": 0.008183138072490692,
+ "mean_token_accuracy": 0.9973145961761475,
+ "num_tokens": 76221692.0,
+ "step": 3710
+ },
+ {
+ "entropy": 0.7805068492889404,
+ "epoch": 6.850828729281768,
+ "grad_norm": 0.6652786135673523,
+ "learning_rate": 2.478054308781807e-05,
+ "loss": 0.009141853451728821,
+ "mean_token_accuracy": 0.9968416154384613,
+ "num_tokens": 76427170.0,
+ "step": 3720
+ },
+ {
+ "entropy": 0.7799863159656525,
+ "epoch": 6.8692449355432785,
+ "grad_norm": 0.5895428657531738,
+ "learning_rate": 2.451805288664298e-05,
+ "loss": 0.009343943744897842,
+ "mean_token_accuracy": 0.9968909084796905,
+ "num_tokens": 76632450.0,
+ "step": 3730
+ },
+ {
+ "entropy": 0.7819362223148346,
+ "epoch": 6.887661141804788,
+ "grad_norm": 0.6007734537124634,
+ "learning_rate": 2.425650798259327e-05,
+ "loss": 0.008081933856010437,
+ "mean_token_accuracy": 0.9972956955432892,
+ "num_tokens": 76837993.0,
+ "step": 3740
+ },
+ {
+ "entropy": 0.7859819054603576,
+ "epoch": 6.906077348066298,
+ "grad_norm": 0.5510725975036621,
+ "learning_rate": 2.39959180781318e-05,
+ "loss": 0.008848348259925842,
+ "mean_token_accuracy": 0.9968287885189057,
+ "num_tokens": 77043697.0,
+ "step": 3750
+ },
+ {
+ "entropy": 0.7813855290412903,
+ "epoch": 6.9244935543278086,
+ "grad_norm": 0.5004434585571289,
+ "learning_rate": 2.3736292840294122e-05,
+ "loss": 0.00795777291059494,
+ "mean_token_accuracy": 0.9973017990589141,
+ "num_tokens": 77248720.0,
+ "step": 3760
+ },
+ {
+ "entropy": 0.774254196882248,
+ "epoch": 6.942909760589319,
+ "grad_norm": 0.7068622708320618,
+ "learning_rate": 2.347764190032974e-05,
+ "loss": 0.007790238410234451,
+ "mean_token_accuracy": 0.997188663482666,
+ "num_tokens": 77454096.0,
+ "step": 3770
+ },
+ {
+ "entropy": 0.7675817251205445,
+ "epoch": 6.961325966850829,
+ "grad_norm": 0.5110977292060852,
+ "learning_rate": 2.3219974853344905e-05,
+ "loss": 0.008631375432014466,
+ "mean_token_accuracy": 0.9967362582683563,
+ "num_tokens": 77659811.0,
+ "step": 3780
+ },
+ {
+ "entropy": 0.7719516515731811,
+ "epoch": 6.979742173112339,
+ "grad_norm": 0.6288211941719055,
+ "learning_rate": 2.2963301257946622e-05,
+ "loss": 0.00804171860218048,
+ "mean_token_accuracy": 0.9971263229846954,
+ "num_tokens": 77865539.0,
+ "step": 3790
+ },
+ {
+ "entropy": 0.7786632418632508,
+ "epoch": 6.998158379373849,
+ "grad_norm": 0.5279833078384399,
+ "learning_rate": 2.270763063588814e-05,
+ "loss": 0.007490953803062439,
+ "mean_token_accuracy": 0.9974353730678558,
+ "num_tokens": 78070767.0,
+ "step": 3800
+ },
+ {
+ "epoch": 7.0,
+ "eval_entropy": 0.7808213239130767,
+ "eval_loss": 0.07382760941982269,
+ "eval_mean_token_accuracy": 0.9800234224485315,
+ "eval_num_tokens": 78091327.0,
+ "eval_runtime": 10.072,
+ "eval_samples_per_second": 363.186,
+ "eval_steps_per_second": 11.418,
+ "step": 3801
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 3.7228641768471265e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-3801/training_args.bin b/checkpoint-3801/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-3801/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-4344/README.md b/checkpoint-4344/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-4344/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-4344/adapter_config.json b/checkpoint-4344/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-4344/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-4344/adapter_model.safetensors b/checkpoint-4344/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..cea87c29fdcfd9028a220d3f7b97c68bfd23c9ba
--- /dev/null
+++ b/checkpoint-4344/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f1d44459dcf6919f1f87aba8b1741a5e1f59eaeff47af9fa14e37c2ec2aded8
+size 80792096
diff --git a/checkpoint-4344/chat_template.jinja b/checkpoint-4344/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-4344/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-4344/tokenizer.json b/checkpoint-4344/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-4344/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-4344/tokenizer_config.json b/checkpoint-4344/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-4344/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-4344/trainer_state.json b/checkpoint-4344/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..4a195d7f7e56a30f5a0c4530f3f48f314b74b368
--- /dev/null
+++ b/checkpoint-4344/trainer_state.json
@@ -0,0 +1,4462 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 8.0,
+ "eval_steps": 500,
+ "global_step": 4344,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ },
+ {
+ "entropy": 0.9337226033210755,
+ "epoch": 3.001841620626151,
+ "grad_norm": 0.646203875541687,
+ "learning_rate": 8.387233236315016e-05,
+ "loss": 0.043352216482162476,
+ "mean_token_accuracy": 0.9830620110034942,
+ "num_tokens": 33488302.0,
+ "step": 1630
+ },
+ {
+ "entropy": 0.9734923839569092,
+ "epoch": 3.020257826887661,
+ "grad_norm": 0.7564226984977722,
+ "learning_rate": 8.364769739484416e-05,
+ "loss": 0.033932483196258544,
+ "mean_token_accuracy": 0.9872806966304779,
+ "num_tokens": 33693531.0,
+ "step": 1640
+ },
+ {
+ "entropy": 0.9669206500053406,
+ "epoch": 3.0386740331491713,
+ "grad_norm": 0.7126886248588562,
+ "learning_rate": 8.342181420671096e-05,
+ "loss": 0.03818287253379822,
+ "mean_token_accuracy": 0.9852082908153534,
+ "num_tokens": 33899305.0,
+ "step": 1650
+ },
+ {
+ "entropy": 0.9522916138172149,
+ "epoch": 3.0570902394106816,
+ "grad_norm": 1.0571653842926025,
+ "learning_rate": 8.319469117828007e-05,
+ "loss": 0.03456039130687714,
+ "mean_token_accuracy": 0.9867027878761292,
+ "num_tokens": 34104585.0,
+ "step": 1660
+ },
+ {
+ "entropy": 0.9568560004234314,
+ "epoch": 3.0755064456721914,
+ "grad_norm": 0.780940592288971,
+ "learning_rate": 8.296633673507505e-05,
+ "loss": 0.03551802039146423,
+ "mean_token_accuracy": 0.9867531359195709,
+ "num_tokens": 34309516.0,
+ "step": 1670
+ },
+ {
+ "entropy": 0.9590656876564025,
+ "epoch": 3.0939226519337018,
+ "grad_norm": 0.8330219388008118,
+ "learning_rate": 8.273675934830094e-05,
+ "loss": 0.03674865961074829,
+ "mean_token_accuracy": 0.9864118576049805,
+ "num_tokens": 34515170.0,
+ "step": 1680
+ },
+ {
+ "entropy": 0.975881814956665,
+ "epoch": 3.1123388581952116,
+ "grad_norm": 0.7010637521743774,
+ "learning_rate": 8.250596753453e-05,
+ "loss": 0.03550414443016052,
+ "mean_token_accuracy": 0.9864102602005005,
+ "num_tokens": 34720896.0,
+ "step": 1690
+ },
+ {
+ "entropy": 0.9599562883377075,
+ "epoch": 3.130755064456722,
+ "grad_norm": 0.6694278717041016,
+ "learning_rate": 8.227396985538578e-05,
+ "loss": 0.035564273595809937,
+ "mean_token_accuracy": 0.9867321848869324,
+ "num_tokens": 34925970.0,
+ "step": 1700
+ },
+ {
+ "entropy": 0.9582216143608093,
+ "epoch": 3.149171270718232,
+ "grad_norm": 0.9333199262619019,
+ "learning_rate": 8.204077491722546e-05,
+ "loss": 0.035575729608535764,
+ "mean_token_accuracy": 0.9862452208995819,
+ "num_tokens": 35131543.0,
+ "step": 1710
+ },
+ {
+ "entropy": 0.9579678058624268,
+ "epoch": 3.167587476979742,
+ "grad_norm": 0.9450218081474304,
+ "learning_rate": 8.180639137082066e-05,
+ "loss": 0.0385298490524292,
+ "mean_token_accuracy": 0.98538036942482,
+ "num_tokens": 35336790.0,
+ "step": 1720
+ },
+ {
+ "entropy": 0.9640831351280212,
+ "epoch": 3.1860036832412524,
+ "grad_norm": 0.8551534414291382,
+ "learning_rate": 8.157082791103649e-05,
+ "loss": 0.03702138364315033,
+ "mean_token_accuracy": 0.9852015495300293,
+ "num_tokens": 35542294.0,
+ "step": 1730
+ },
+ {
+ "entropy": 0.9867071211338043,
+ "epoch": 3.2044198895027622,
+ "grad_norm": 0.7138128876686096,
+ "learning_rate": 8.133409327650897e-05,
+ "loss": 0.035626694560050964,
+ "mean_token_accuracy": 0.986064875125885,
+ "num_tokens": 35747447.0,
+ "step": 1740
+ },
+ {
+ "entropy": 0.9639089345932007,
+ "epoch": 3.2228360957642725,
+ "grad_norm": 0.7131415009498596,
+ "learning_rate": 8.109619624932092e-05,
+ "loss": 0.035885071754455565,
+ "mean_token_accuracy": 0.986273056268692,
+ "num_tokens": 35952258.0,
+ "step": 1750
+ },
+ {
+ "entropy": 0.9516046345233917,
+ "epoch": 3.241252302025783,
+ "grad_norm": 0.6900200843811035,
+ "learning_rate": 8.085714565467611e-05,
+ "loss": 0.03535219430923462,
+ "mean_token_accuracy": 0.985836285352707,
+ "num_tokens": 36157938.0,
+ "step": 1760
+ },
+ {
+ "entropy": 0.9373646557331086,
+ "epoch": 3.2596685082872927,
+ "grad_norm": 0.6101690530776978,
+ "learning_rate": 8.061695036057191e-05,
+ "loss": 0.034940996766090394,
+ "mean_token_accuracy": 0.9863743901252746,
+ "num_tokens": 36363825.0,
+ "step": 1770
+ },
+ {
+ "entropy": 0.9444344758987426,
+ "epoch": 3.278084714548803,
+ "grad_norm": 0.7518529295921326,
+ "learning_rate": 8.03756192774703e-05,
+ "loss": 0.03404279053211212,
+ "mean_token_accuracy": 0.9866396844387054,
+ "num_tokens": 36568961.0,
+ "step": 1780
+ },
+ {
+ "entropy": 0.9550357758998871,
+ "epoch": 3.2965009208103133,
+ "grad_norm": 0.7687555551528931,
+ "learning_rate": 8.013316135796734e-05,
+ "loss": 0.038447052240371704,
+ "mean_token_accuracy": 0.985325163602829,
+ "num_tokens": 36774514.0,
+ "step": 1790
+ },
+ {
+ "entropy": 0.9477231681346894,
+ "epoch": 3.314917127071823,
+ "grad_norm": 0.7521633505821228,
+ "learning_rate": 7.988958559646102e-05,
+ "loss": 0.03746694028377533,
+ "mean_token_accuracy": 0.9853165090084076,
+ "num_tokens": 36979660.0,
+ "step": 1800
+ },
+ {
+ "entropy": 0.925805002450943,
+ "epoch": 3.3333333333333335,
+ "grad_norm": 0.9333297610282898,
+ "learning_rate": 7.964490102881768e-05,
+ "loss": 0.03700103759765625,
+ "mean_token_accuracy": 0.9850880861282348,
+ "num_tokens": 37185191.0,
+ "step": 1810
+ },
+ {
+ "entropy": 0.9225482225418091,
+ "epoch": 3.3517495395948433,
+ "grad_norm": 0.7928622961044312,
+ "learning_rate": 7.939911673203665e-05,
+ "loss": 0.03825801610946655,
+ "mean_token_accuracy": 0.9850241422653199,
+ "num_tokens": 37390749.0,
+ "step": 1820
+ },
+ {
+ "entropy": 0.9597147881984711,
+ "epoch": 3.3701657458563536,
+ "grad_norm": 0.7658583521842957,
+ "learning_rate": 7.915224182391375e-05,
+ "loss": 0.039855146408081056,
+ "mean_token_accuracy": 0.9845879554748536,
+ "num_tokens": 37596052.0,
+ "step": 1830
+ },
+ {
+ "entropy": 0.9485619068145752,
+ "epoch": 3.388581952117864,
+ "grad_norm": 0.8492130637168884,
+ "learning_rate": 7.890428546270278e-05,
+ "loss": 0.039359599351882935,
+ "mean_token_accuracy": 0.9847265422344208,
+ "num_tokens": 37802063.0,
+ "step": 1840
+ },
+ {
+ "entropy": 0.9670301914215088,
+ "epoch": 3.406998158379374,
+ "grad_norm": 0.7527599930763245,
+ "learning_rate": 7.865525684677608e-05,
+ "loss": 0.03752985596656799,
+ "mean_token_accuracy": 0.9855137526988983,
+ "num_tokens": 38007432.0,
+ "step": 1850
+ },
+ {
+ "entropy": 0.9681244969367981,
+ "epoch": 3.425414364640884,
+ "grad_norm": 0.7599612474441528,
+ "learning_rate": 7.840516521428303e-05,
+ "loss": 0.03653894364833832,
+ "mean_token_accuracy": 0.9858933389186859,
+ "num_tokens": 38212923.0,
+ "step": 1860
+ },
+ {
+ "entropy": 0.9706049561500549,
+ "epoch": 3.443830570902394,
+ "grad_norm": 0.7678127884864807,
+ "learning_rate": 7.815401984280748e-05,
+ "loss": 0.0366938978433609,
+ "mean_token_accuracy": 0.9854713797569274,
+ "num_tokens": 38418422.0,
+ "step": 1870
+ },
+ {
+ "entropy": 0.9637093842029572,
+ "epoch": 3.4622467771639043,
+ "grad_norm": 0.762824535369873,
+ "learning_rate": 7.790183004902359e-05,
+ "loss": 0.03516915142536163,
+ "mean_token_accuracy": 0.9866003453731537,
+ "num_tokens": 38624389.0,
+ "step": 1880
+ },
+ {
+ "entropy": 0.9373565018177032,
+ "epoch": 3.4806629834254146,
+ "grad_norm": 0.8221780061721802,
+ "learning_rate": 7.764860518835014e-05,
+ "loss": 0.04049026966094971,
+ "mean_token_accuracy": 0.984089481830597,
+ "num_tokens": 38829654.0,
+ "step": 1890
+ },
+ {
+ "entropy": 0.9356025457382202,
+ "epoch": 3.4990791896869244,
+ "grad_norm": 0.7583426237106323,
+ "learning_rate": 7.739435465460356e-05,
+ "loss": 0.03658481240272522,
+ "mean_token_accuracy": 0.9857318818569183,
+ "num_tokens": 39034638.0,
+ "step": 1900
+ },
+ {
+ "entropy": 0.9740163326263428,
+ "epoch": 3.5174953959484347,
+ "grad_norm": 0.7332878112792969,
+ "learning_rate": 7.713908787964937e-05,
+ "loss": 0.03508963882923126,
+ "mean_token_accuracy": 0.9863419532775879,
+ "num_tokens": 39240265.0,
+ "step": 1910
+ },
+ {
+ "entropy": 0.9528286933898926,
+ "epoch": 3.5359116022099446,
+ "grad_norm": 0.6515451669692993,
+ "learning_rate": 7.688281433305233e-05,
+ "loss": 0.036055779457092284,
+ "mean_token_accuracy": 0.9860979080200195,
+ "num_tokens": 39445546.0,
+ "step": 1920
+ },
+ {
+ "entropy": 0.9480705261230469,
+ "epoch": 3.554327808471455,
+ "grad_norm": 0.7725827097892761,
+ "learning_rate": 7.662554352172515e-05,
+ "loss": 0.037101513147354125,
+ "mean_token_accuracy": 0.985782790184021,
+ "num_tokens": 39651078.0,
+ "step": 1930
+ },
+ {
+ "entropy": 0.9655321061611175,
+ "epoch": 3.572744014732965,
+ "grad_norm": 0.7756506204605103,
+ "learning_rate": 7.636728498957581e-05,
+ "loss": 0.03721855878829956,
+ "mean_token_accuracy": 0.9857951939105988,
+ "num_tokens": 39856542.0,
+ "step": 1940
+ },
+ {
+ "entropy": 0.9772682309150695,
+ "epoch": 3.591160220994475,
+ "grad_norm": 0.9084987640380859,
+ "learning_rate": 7.610804831715355e-05,
+ "loss": 0.03570749163627625,
+ "mean_token_accuracy": 0.9863450109958649,
+ "num_tokens": 40061913.0,
+ "step": 1950
+ },
+ {
+ "entropy": 0.9579685389995575,
+ "epoch": 3.6095764272559854,
+ "grad_norm": 0.6358487606048584,
+ "learning_rate": 7.584784312129334e-05,
+ "loss": 0.038210684061050416,
+ "mean_token_accuracy": 0.9850837290287018,
+ "num_tokens": 40267398.0,
+ "step": 1960
+ },
+ {
+ "entropy": 0.9605201721191406,
+ "epoch": 3.6279926335174952,
+ "grad_norm": 0.6263149976730347,
+ "learning_rate": 7.558667905475927e-05,
+ "loss": 0.03509160876274109,
+ "mean_token_accuracy": 0.9868143379688263,
+ "num_tokens": 40472827.0,
+ "step": 1970
+ },
+ {
+ "entropy": 0.964026153087616,
+ "epoch": 3.6464088397790055,
+ "grad_norm": 0.90068119764328,
+ "learning_rate": 7.532456580588638e-05,
+ "loss": 0.036211782693862916,
+ "mean_token_accuracy": 0.9858468770980835,
+ "num_tokens": 40677935.0,
+ "step": 1980
+ },
+ {
+ "entropy": 0.9494135618209839,
+ "epoch": 3.664825046040516,
+ "grad_norm": 0.760134756565094,
+ "learning_rate": 7.50615130982213e-05,
+ "loss": 0.03786201477050781,
+ "mean_token_accuracy": 0.9852500438690186,
+ "num_tokens": 40883750.0,
+ "step": 1990
+ },
+ {
+ "entropy": 0.9527071297168732,
+ "epoch": 3.6832412523020257,
+ "grad_norm": 0.9812107682228088,
+ "learning_rate": 7.479753069016152e-05,
+ "loss": 0.03803159594535828,
+ "mean_token_accuracy": 0.9852405369281769,
+ "num_tokens": 41089115.0,
+ "step": 2000
+ },
+ {
+ "entropy": 0.9639330863952636,
+ "epoch": 3.701657458563536,
+ "grad_norm": 0.7164933681488037,
+ "learning_rate": 7.453262837459332e-05,
+ "loss": 0.03912568986415863,
+ "mean_token_accuracy": 0.9849458575248718,
+ "num_tokens": 41294694.0,
+ "step": 2010
+ },
+ {
+ "entropy": 0.9536987483501435,
+ "epoch": 3.720073664825046,
+ "grad_norm": 0.6804596185684204,
+ "learning_rate": 7.426681597852863e-05,
+ "loss": 0.036410006880760196,
+ "mean_token_accuracy": 0.985712206363678,
+ "num_tokens": 41499817.0,
+ "step": 2020
+ },
+ {
+ "entropy": 0.9478164672851562,
+ "epoch": 3.738489871086556,
+ "grad_norm": 0.8799397349357605,
+ "learning_rate": 7.400010336274037e-05,
+ "loss": 0.03801035583019256,
+ "mean_token_accuracy": 0.9850274682044983,
+ "num_tokens": 41704932.0,
+ "step": 2030
+ },
+ {
+ "entropy": 0.9383447647094727,
+ "epoch": 3.7569060773480665,
+ "grad_norm": 0.8386216163635254,
+ "learning_rate": 7.373250042139664e-05,
+ "loss": 0.0373637855052948,
+ "mean_token_accuracy": 0.9854822158813477,
+ "num_tokens": 41910804.0,
+ "step": 2040
+ },
+ {
+ "entropy": 0.925172996520996,
+ "epoch": 3.7753222836095763,
+ "grad_norm": 0.7599324584007263,
+ "learning_rate": 7.346401708169377e-05,
+ "loss": 0.03585260808467865,
+ "mean_token_accuracy": 0.9860672950744629,
+ "num_tokens": 42116706.0,
+ "step": 2050
+ },
+ {
+ "entropy": 0.9463765442371368,
+ "epoch": 3.7937384898710866,
+ "grad_norm": 0.9030149579048157,
+ "learning_rate": 7.319466330348797e-05,
+ "loss": 0.035877206921577455,
+ "mean_token_accuracy": 0.9863968968391419,
+ "num_tokens": 42322670.0,
+ "step": 2060
+ },
+ {
+ "entropy": 0.9942441761493683,
+ "epoch": 3.8121546961325965,
+ "grad_norm": 0.6400449275970459,
+ "learning_rate": 7.292444907892587e-05,
+ "loss": 0.037310433387756345,
+ "mean_token_accuracy": 0.9854151606559753,
+ "num_tokens": 42527752.0,
+ "step": 2070
+ },
+ {
+ "entropy": 0.9577703952789307,
+ "epoch": 3.830570902394107,
+ "grad_norm": 0.6193167567253113,
+ "learning_rate": 7.265338443207387e-05,
+ "loss": 0.03648848831653595,
+ "mean_token_accuracy": 0.9856530070304871,
+ "num_tokens": 42732981.0,
+ "step": 2080
+ },
+ {
+ "entropy": 0.9663952767848969,
+ "epoch": 3.848987108655617,
+ "grad_norm": 0.759611189365387,
+ "learning_rate": 7.238147941854625e-05,
+ "loss": 0.036112996935844424,
+ "mean_token_accuracy": 0.9862765550613404,
+ "num_tokens": 42938619.0,
+ "step": 2090
+ },
+ {
+ "entropy": 0.9484863519668579,
+ "epoch": 3.867403314917127,
+ "grad_norm": 0.7420705556869507,
+ "learning_rate": 7.210874412513218e-05,
+ "loss": 0.03703283965587616,
+ "mean_token_accuracy": 0.9857317566871643,
+ "num_tokens": 43143753.0,
+ "step": 2100
+ },
+ {
+ "entropy": 0.964326673746109,
+ "epoch": 3.8858195211786373,
+ "grad_norm": 0.8779639601707458,
+ "learning_rate": 7.183518866942147e-05,
+ "loss": 0.03739701807498932,
+ "mean_token_accuracy": 0.9852154791355133,
+ "num_tokens": 43349451.0,
+ "step": 2110
+ },
+ {
+ "entropy": 0.9729791641235351,
+ "epoch": 3.904235727440147,
+ "grad_norm": 0.7582741379737854,
+ "learning_rate": 7.156082319942929e-05,
+ "loss": 0.03894525766372681,
+ "mean_token_accuracy": 0.9847454309463501,
+ "num_tokens": 43554598.0,
+ "step": 2120
+ },
+ {
+ "entropy": 0.9860592544078827,
+ "epoch": 3.9226519337016574,
+ "grad_norm": 0.860698938369751,
+ "learning_rate": 7.128565789321969e-05,
+ "loss": 0.0365300178527832,
+ "mean_token_accuracy": 0.9859121859073638,
+ "num_tokens": 43760081.0,
+ "step": 2130
+ },
+ {
+ "entropy": 0.9916551172733307,
+ "epoch": 3.9410681399631677,
+ "grad_norm": 0.8363776206970215,
+ "learning_rate": 7.100970295852805e-05,
+ "loss": 0.036221379041671754,
+ "mean_token_accuracy": 0.9859034180641174,
+ "num_tokens": 43965432.0,
+ "step": 2140
+ },
+ {
+ "entropy": 0.9553558886051178,
+ "epoch": 3.9594843462246776,
+ "grad_norm": 0.9627474546432495,
+ "learning_rate": 7.073296863238242e-05,
+ "loss": 0.03684481382369995,
+ "mean_token_accuracy": 0.9857315957546234,
+ "num_tokens": 44171232.0,
+ "step": 2150
+ },
+ {
+ "entropy": 0.9538035809993743,
+ "epoch": 3.977900552486188,
+ "grad_norm": 0.8399474620819092,
+ "learning_rate": 7.045546518072366e-05,
+ "loss": 0.03825397789478302,
+ "mean_token_accuracy": 0.9846831560134888,
+ "num_tokens": 44376723.0,
+ "step": 2160
+ },
+ {
+ "entropy": 0.9476235210895538,
+ "epoch": 3.9963167587476978,
+ "grad_norm": 0.708739697933197,
+ "learning_rate": 7.017720289802472e-05,
+ "loss": 0.03618018329143524,
+ "mean_token_accuracy": 0.9861325800418854,
+ "num_tokens": 44582407.0,
+ "step": 2170
+ },
+ {
+ "epoch": 4.0,
+ "eval_entropy": 0.9569619194321011,
+ "eval_loss": 0.059838198125362396,
+ "eval_mean_token_accuracy": 0.9777795366618944,
+ "eval_num_tokens": 44623647.0,
+ "eval_runtime": 10.0379,
+ "eval_samples_per_second": 364.42,
+ "eval_steps_per_second": 11.457,
+ "step": 2172
+ },
+ {
+ "entropy": 0.9558675646781921,
+ "epoch": 4.014732965009208,
+ "grad_norm": 0.7347508668899536,
+ "learning_rate": 6.989819210690872e-05,
+ "loss": 0.02886659502983093,
+ "mean_token_accuracy": 0.9892994821071625,
+ "num_tokens": 44788219.0,
+ "step": 2180
+ },
+ {
+ "entropy": 1.0037677466869355,
+ "epoch": 4.033149171270718,
+ "grad_norm": 0.7403206825256348,
+ "learning_rate": 6.961844315776596e-05,
+ "loss": 0.02395295798778534,
+ "mean_token_accuracy": 0.9906026899814606,
+ "num_tokens": 44993505.0,
+ "step": 2190
+ },
+ {
+ "entropy": 1.0068290829658508,
+ "epoch": 4.051565377532229,
+ "grad_norm": 0.7979726195335388,
+ "learning_rate": 6.933796642837003e-05,
+ "loss": 0.02605988085269928,
+ "mean_token_accuracy": 0.9899706900119781,
+ "num_tokens": 45199193.0,
+ "step": 2200
+ },
+ {
+ "entropy": 0.9942211747169495,
+ "epoch": 4.069981583793738,
+ "grad_norm": 0.6460402011871338,
+ "learning_rate": 6.905677232349278e-05,
+ "loss": 0.025350230932235717,
+ "mean_token_accuracy": 0.9899386286735534,
+ "num_tokens": 45404030.0,
+ "step": 2210
+ },
+ {
+ "entropy": 0.9783595442771912,
+ "epoch": 4.088397790055248,
+ "grad_norm": 0.8177055716514587,
+ "learning_rate": 6.877487127451834e-05,
+ "loss": 0.02696993052959442,
+ "mean_token_accuracy": 0.9896106541156768,
+ "num_tokens": 45609763.0,
+ "step": 2220
+ },
+ {
+ "entropy": 0.9801763832569123,
+ "epoch": 4.106813996316759,
+ "grad_norm": 0.6608165502548218,
+ "learning_rate": 6.849227373905618e-05,
+ "loss": 0.025101393461227417,
+ "mean_token_accuracy": 0.9904372334480286,
+ "num_tokens": 45814941.0,
+ "step": 2230
+ },
+ {
+ "entropy": 0.9695689737796783,
+ "epoch": 4.125230202578269,
+ "grad_norm": 0.8036547899246216,
+ "learning_rate": 6.820899020055314e-05,
+ "loss": 0.027827343344688414,
+ "mean_token_accuracy": 0.9890337705612182,
+ "num_tokens": 46020535.0,
+ "step": 2240
+ },
+ {
+ "entropy": 0.9828635334968567,
+ "epoch": 4.143646408839779,
+ "grad_norm": 0.7729921936988831,
+ "learning_rate": 6.792503116790455e-05,
+ "loss": 0.02779492735862732,
+ "mean_token_accuracy": 0.9894372522830963,
+ "num_tokens": 46226013.0,
+ "step": 2250
+ },
+ {
+ "entropy": 0.9978842556476593,
+ "epoch": 4.162062615101289,
+ "grad_norm": 0.7334664463996887,
+ "learning_rate": 6.764040717506432e-05,
+ "loss": 0.025673511624336242,
+ "mean_token_accuracy": 0.9899355113506317,
+ "num_tokens": 46432087.0,
+ "step": 2260
+ },
+ {
+ "entropy": 1.0116403937339782,
+ "epoch": 4.180478821362799,
+ "grad_norm": 0.6769368052482605,
+ "learning_rate": 6.735512878065427e-05,
+ "loss": 0.024705511331558228,
+ "mean_token_accuracy": 0.9906128525733948,
+ "num_tokens": 46637478.0,
+ "step": 2270
+ },
+ {
+ "entropy": 0.9985016226768494,
+ "epoch": 4.198895027624309,
+ "grad_norm": 0.8301573991775513,
+ "learning_rate": 6.706920656757234e-05,
+ "loss": 0.02455987185239792,
+ "mean_token_accuracy": 0.9905728340148926,
+ "num_tokens": 46842562.0,
+ "step": 2280
+ },
+ {
+ "entropy": 0.9909430682659149,
+ "epoch": 4.21731123388582,
+ "grad_norm": 0.656026303768158,
+ "learning_rate": 6.67826511426001e-05,
+ "loss": 0.022711564600467683,
+ "mean_token_accuracy": 0.9910893619060517,
+ "num_tokens": 47048071.0,
+ "step": 2290
+ },
+ {
+ "entropy": 0.9868666052818298,
+ "epoch": 4.23572744014733,
+ "grad_norm": 0.7614991068840027,
+ "learning_rate": 6.649547313600916e-05,
+ "loss": 0.02453812211751938,
+ "mean_token_accuracy": 0.9908901154994965,
+ "num_tokens": 47253507.0,
+ "step": 2300
+ },
+ {
+ "entropy": 0.9870487153530121,
+ "epoch": 4.25414364640884,
+ "grad_norm": 0.7617276906967163,
+ "learning_rate": 6.62076832011669e-05,
+ "loss": 0.025818097591400146,
+ "mean_token_accuracy": 0.990347957611084,
+ "num_tokens": 47458747.0,
+ "step": 2310
+ },
+ {
+ "entropy": 0.9691080570220947,
+ "epoch": 4.27255985267035,
+ "grad_norm": 0.6743029952049255,
+ "learning_rate": 6.591929201414124e-05,
+ "loss": 0.02456912100315094,
+ "mean_token_accuracy": 0.9905289709568024,
+ "num_tokens": 47663643.0,
+ "step": 2320
+ },
+ {
+ "entropy": 0.9701108932495117,
+ "epoch": 4.29097605893186,
+ "grad_norm": 0.6964483261108398,
+ "learning_rate": 6.56303102733046e-05,
+ "loss": 0.02575681209564209,
+ "mean_token_accuracy": 0.9898503363132477,
+ "num_tokens": 47868982.0,
+ "step": 2330
+ },
+ {
+ "entropy": 0.969528192281723,
+ "epoch": 4.30939226519337,
+ "grad_norm": 0.7521987557411194,
+ "learning_rate": 6.5340748698937e-05,
+ "loss": 0.02678089737892151,
+ "mean_token_accuracy": 0.9898572087287902,
+ "num_tokens": 48074314.0,
+ "step": 2340
+ },
+ {
+ "entropy": 0.9921871721744537,
+ "epoch": 4.327808471454881,
+ "grad_norm": 0.6944513320922852,
+ "learning_rate": 6.505061803282844e-05,
+ "loss": 0.025553321838378905,
+ "mean_token_accuracy": 0.9907529592514038,
+ "num_tokens": 48279731.0,
+ "step": 2350
+ },
+ {
+ "entropy": 0.9768964886665344,
+ "epoch": 4.346224677716391,
+ "grad_norm": 0.6553092002868652,
+ "learning_rate": 6.47599290378803e-05,
+ "loss": 0.0250235915184021,
+ "mean_token_accuracy": 0.9904054701328278,
+ "num_tokens": 48485401.0,
+ "step": 2360
+ },
+ {
+ "entropy": 0.9612838506698609,
+ "epoch": 4.3646408839779,
+ "grad_norm": 0.916820228099823,
+ "learning_rate": 6.446869249770619e-05,
+ "loss": 0.028156182169914244,
+ "mean_token_accuracy": 0.9888657331466675,
+ "num_tokens": 48691047.0,
+ "step": 2370
+ },
+ {
+ "entropy": 0.9665832936763763,
+ "epoch": 4.383057090239411,
+ "grad_norm": 0.9197776913642883,
+ "learning_rate": 6.417691921623185e-05,
+ "loss": 0.025303921103477477,
+ "mean_token_accuracy": 0.989986252784729,
+ "num_tokens": 48896234.0,
+ "step": 2380
+ },
+ {
+ "entropy": 0.9686589121818543,
+ "epoch": 4.401473296500921,
+ "grad_norm": 0.8505764603614807,
+ "learning_rate": 6.388462001729434e-05,
+ "loss": 0.024816396832466125,
+ "mean_token_accuracy": 0.9909265041351318,
+ "num_tokens": 49101893.0,
+ "step": 2390
+ },
+ {
+ "entropy": 0.9625210344791413,
+ "epoch": 4.419889502762431,
+ "grad_norm": 1.0601766109466553,
+ "learning_rate": 6.359180574424062e-05,
+ "loss": 0.02706078290939331,
+ "mean_token_accuracy": 0.9895522117614746,
+ "num_tokens": 49307467.0,
+ "step": 2400
+ },
+ {
+ "entropy": 0.9679551541805267,
+ "epoch": 4.4383057090239415,
+ "grad_norm": 0.776253879070282,
+ "learning_rate": 6.329848725952514e-05,
+ "loss": 0.02693203091621399,
+ "mean_token_accuracy": 0.9893981635570526,
+ "num_tokens": 49513020.0,
+ "step": 2410
+ },
+ {
+ "entropy": 0.9704959928989411,
+ "epoch": 4.456721915285451,
+ "grad_norm": 0.5459668636322021,
+ "learning_rate": 6.3004675444307e-05,
+ "loss": 0.0279473751783371,
+ "mean_token_accuracy": 0.9894329369068146,
+ "num_tokens": 49718405.0,
+ "step": 2420
+ },
+ {
+ "entropy": 0.961863350868225,
+ "epoch": 4.475138121546961,
+ "grad_norm": 0.9338833093643188,
+ "learning_rate": 6.27103811980462e-05,
+ "loss": 0.026478803157806395,
+ "mean_token_accuracy": 0.9902269721031189,
+ "num_tokens": 49923375.0,
+ "step": 2430
+ },
+ {
+ "entropy": 0.9708506822586059,
+ "epoch": 4.4935543278084715,
+ "grad_norm": 0.9073707461357117,
+ "learning_rate": 6.241561543809947e-05,
+ "loss": 0.025289520621299744,
+ "mean_token_accuracy": 0.9904769957065582,
+ "num_tokens": 50128901.0,
+ "step": 2440
+ },
+ {
+ "entropy": 0.984996622800827,
+ "epoch": 4.511970534069982,
+ "grad_norm": 0.8674206733703613,
+ "learning_rate": 6.212038909931503e-05,
+ "loss": 0.026442551612854005,
+ "mean_token_accuracy": 0.9905101835727692,
+ "num_tokens": 50334449.0,
+ "step": 2450
+ },
+ {
+ "entropy": 0.9926377475261688,
+ "epoch": 4.530386740331492,
+ "grad_norm": 0.7571811079978943,
+ "learning_rate": 6.182471313362717e-05,
+ "loss": 0.026819539070129395,
+ "mean_token_accuracy": 0.9898989200592041,
+ "num_tokens": 50539597.0,
+ "step": 2460
+ },
+ {
+ "entropy": 0.9450563549995422,
+ "epoch": 4.5488029465930016,
+ "grad_norm": 0.6651087403297424,
+ "learning_rate": 6.15285985096498e-05,
+ "loss": 0.02665227949619293,
+ "mean_token_accuracy": 0.9897156655788422,
+ "num_tokens": 50744926.0,
+ "step": 2470
+ },
+ {
+ "entropy": 0.9715635657310486,
+ "epoch": 4.567219152854512,
+ "grad_norm": 0.7445545196533203,
+ "learning_rate": 6.12320562122697e-05,
+ "loss": 0.026212453842163086,
+ "mean_token_accuracy": 0.9904700636863708,
+ "num_tokens": 50950152.0,
+ "step": 2480
+ },
+ {
+ "entropy": 0.9613442063331604,
+ "epoch": 4.585635359116022,
+ "grad_norm": 0.7168459296226501,
+ "learning_rate": 6.0935097242238837e-05,
+ "loss": 0.02508128583431244,
+ "mean_token_accuracy": 0.9901923894882202,
+ "num_tokens": 51155430.0,
+ "step": 2490
+ },
+ {
+ "entropy": 0.9571944534778595,
+ "epoch": 4.6040515653775325,
+ "grad_norm": 0.7590732574462891,
+ "learning_rate": 6.063773261576646e-05,
+ "loss": 0.025445500016212465,
+ "mean_token_accuracy": 0.9902949810028077,
+ "num_tokens": 51360826.0,
+ "step": 2500
+ },
+ {
+ "entropy": 0.947079461812973,
+ "epoch": 4.622467771639043,
+ "grad_norm": 0.6942175030708313,
+ "learning_rate": 6.033997336411035e-05,
+ "loss": 0.026132801175117494,
+ "mean_token_accuracy": 0.9900939345359803,
+ "num_tokens": 51566095.0,
+ "step": 2510
+ },
+ {
+ "entropy": 0.970003741979599,
+ "epoch": 4.640883977900552,
+ "grad_norm": 0.6562672257423401,
+ "learning_rate": 6.00418305331675e-05,
+ "loss": 0.024759869277477264,
+ "mean_token_accuracy": 0.9905019223690033,
+ "num_tokens": 51771177.0,
+ "step": 2520
+ },
+ {
+ "entropy": 0.9715348601341247,
+ "epoch": 4.6593001841620625,
+ "grad_norm": 0.6151639819145203,
+ "learning_rate": 5.9743315183064564e-05,
+ "loss": 0.024138522148132325,
+ "mean_token_accuracy": 0.9910101473331452,
+ "num_tokens": 51976349.0,
+ "step": 2530
+ },
+ {
+ "entropy": 0.9552160143852234,
+ "epoch": 4.677716390423573,
+ "grad_norm": 0.968815267086029,
+ "learning_rate": 5.9444438387747336e-05,
+ "loss": 0.027274739742279053,
+ "mean_token_accuracy": 0.9896075248718261,
+ "num_tokens": 52181820.0,
+ "step": 2540
+ },
+ {
+ "entropy": 0.9265012145042419,
+ "epoch": 4.696132596685083,
+ "grad_norm": 0.8966720700263977,
+ "learning_rate": 5.914521123457015e-05,
+ "loss": 0.0291823148727417,
+ "mean_token_accuracy": 0.9886700630187988,
+ "num_tokens": 52387511.0,
+ "step": 2550
+ },
+ {
+ "entropy": 0.9156096875667572,
+ "epoch": 4.714548802946593,
+ "grad_norm": 0.7747519612312317,
+ "learning_rate": 5.88456448238844e-05,
+ "loss": 0.02809179127216339,
+ "mean_token_accuracy": 0.9891100466251374,
+ "num_tokens": 52592737.0,
+ "step": 2560
+ },
+ {
+ "entropy": 0.924511456489563,
+ "epoch": 4.732965009208103,
+ "grad_norm": 1.0087049007415771,
+ "learning_rate": 5.8545750268626844e-05,
+ "loss": 0.02683232128620148,
+ "mean_token_accuracy": 0.9896528899669648,
+ "num_tokens": 52798814.0,
+ "step": 2570
+ },
+ {
+ "entropy": 0.9662951111793519,
+ "epoch": 4.751381215469613,
+ "grad_norm": 0.7709590792655945,
+ "learning_rate": 5.824553869390734e-05,
+ "loss": 0.02503817081451416,
+ "mean_token_accuracy": 0.9900161385536194,
+ "num_tokens": 53004478.0,
+ "step": 2580
+ },
+ {
+ "entropy": 0.9889141619205475,
+ "epoch": 4.769797421731123,
+ "grad_norm": 0.815858006477356,
+ "learning_rate": 5.794502123659613e-05,
+ "loss": 0.026327347755432128,
+ "mean_token_accuracy": 0.9900785744190216,
+ "num_tokens": 53209888.0,
+ "step": 2590
+ },
+ {
+ "entropy": 0.9785685896873474,
+ "epoch": 4.788213627992634,
+ "grad_norm": 0.6514431238174438,
+ "learning_rate": 5.7644209044910735e-05,
+ "loss": 0.025033789873123168,
+ "mean_token_accuracy": 0.9902650475502014,
+ "num_tokens": 53415533.0,
+ "step": 2600
+ },
+ {
+ "entropy": 0.9723869919776916,
+ "epoch": 4.806629834254144,
+ "grad_norm": 0.8778963685035706,
+ "learning_rate": 5.7343113278002284e-05,
+ "loss": 0.02379843294620514,
+ "mean_token_accuracy": 0.9909472465515137,
+ "num_tokens": 53620850.0,
+ "step": 2610
+ },
+ {
+ "entropy": 0.9572711050510406,
+ "epoch": 4.8250460405156534,
+ "grad_norm": 0.8927134871482849,
+ "learning_rate": 5.70417451055417e-05,
+ "loss": 0.024856947362422943,
+ "mean_token_accuracy": 0.9904125213623047,
+ "num_tokens": 53826259.0,
+ "step": 2620
+ },
+ {
+ "entropy": 0.9523135125637054,
+ "epoch": 4.843462246777164,
+ "grad_norm": 0.6832691431045532,
+ "learning_rate": 5.674011570730523e-05,
+ "loss": 0.025352203845977785,
+ "mean_token_accuracy": 0.990432596206665,
+ "num_tokens": 54031531.0,
+ "step": 2630
+ },
+ {
+ "entropy": 0.9735220730304718,
+ "epoch": 4.861878453038674,
+ "grad_norm": 0.6399164795875549,
+ "learning_rate": 5.643823627275972e-05,
+ "loss": 0.026541513204574586,
+ "mean_token_accuracy": 0.9900369107723236,
+ "num_tokens": 54237155.0,
+ "step": 2640
+ },
+ {
+ "entropy": 0.9566517114639282,
+ "epoch": 4.880294659300184,
+ "grad_norm": 0.8725414276123047,
+ "learning_rate": 5.6136118000647616e-05,
+ "loss": 0.02675778865814209,
+ "mean_token_accuracy": 0.9894899427890778,
+ "num_tokens": 54442739.0,
+ "step": 2650
+ },
+ {
+ "entropy": 0.9447909593582153,
+ "epoch": 4.898710865561695,
+ "grad_norm": 0.8169302344322205,
+ "learning_rate": 5.583377209857138e-05,
+ "loss": 0.02642086148262024,
+ "mean_token_accuracy": 0.989885401725769,
+ "num_tokens": 54648098.0,
+ "step": 2660
+ },
+ {
+ "entropy": 0.9180052697658538,
+ "epoch": 4.917127071823204,
+ "grad_norm": 0.7768753170967102,
+ "learning_rate": 5.553120978257787e-05,
+ "loss": 0.02552323341369629,
+ "mean_token_accuracy": 0.9899512350559234,
+ "num_tokens": 54854281.0,
+ "step": 2670
+ },
+ {
+ "entropy": 0.917166668176651,
+ "epoch": 4.935543278084714,
+ "grad_norm": 0.8241410851478577,
+ "learning_rate": 5.5228442276742153e-05,
+ "loss": 0.02788199484348297,
+ "mean_token_accuracy": 0.989625746011734,
+ "num_tokens": 55059495.0,
+ "step": 2680
+ },
+ {
+ "entropy": 0.9345465302467346,
+ "epoch": 4.953959484346225,
+ "grad_norm": 0.7645496129989624,
+ "learning_rate": 5.4925480812751166e-05,
+ "loss": 0.02517639398574829,
+ "mean_token_accuracy": 0.9902283847332001,
+ "num_tokens": 55265381.0,
+ "step": 2690
+ },
+ {
+ "entropy": 0.9386432528495788,
+ "epoch": 4.972375690607735,
+ "grad_norm": 0.8371859192848206,
+ "learning_rate": 5.46223366294871e-05,
+ "loss": 0.025585666298866272,
+ "mean_token_accuracy": 0.9903791427612305,
+ "num_tokens": 55471210.0,
+ "step": 2700
+ },
+ {
+ "entropy": 0.9267561137676239,
+ "epoch": 4.990791896869245,
+ "grad_norm": 0.6789297461509705,
+ "learning_rate": 5.43190209726104e-05,
+ "loss": 0.024646708369255067,
+ "mean_token_accuracy": 0.9904700815677643,
+ "num_tokens": 55676877.0,
+ "step": 2710
+ },
+ {
+ "epoch": 5.0,
+ "eval_entropy": 0.9283919717954553,
+ "eval_loss": 0.06225527077913284,
+ "eval_mean_token_accuracy": 0.9784110421719758,
+ "eval_num_tokens": 55779559.0,
+ "eval_runtime": 10.0613,
+ "eval_samples_per_second": 363.573,
+ "eval_steps_per_second": 11.43,
+ "step": 2715
+ },
+ {
+ "entropy": 0.9269404351711273,
+ "epoch": 5.009208103130755,
+ "grad_norm": 0.540570080280304,
+ "learning_rate": 5.401554509414264e-05,
+ "loss": 0.019513805210590363,
+ "mean_token_accuracy": 0.9927033007144928,
+ "num_tokens": 55882241.0,
+ "step": 2720
+ },
+ {
+ "entropy": 0.9377441763877868,
+ "epoch": 5.027624309392265,
+ "grad_norm": 0.5840998888015747,
+ "learning_rate": 5.3711920252049085e-05,
+ "loss": 0.015180909633636474,
+ "mean_token_accuracy": 0.9944471418857574,
+ "num_tokens": 56087470.0,
+ "step": 2730
+ },
+ {
+ "entropy": 0.949122017621994,
+ "epoch": 5.046040515653775,
+ "grad_norm": 0.6938672065734863,
+ "learning_rate": 5.340815770982106e-05,
+ "loss": 0.0153742715716362,
+ "mean_token_accuracy": 0.9941534519195556,
+ "num_tokens": 56292226.0,
+ "step": 2740
+ },
+ {
+ "entropy": 0.9394402146339417,
+ "epoch": 5.064456721915286,
+ "grad_norm": 0.8259939551353455,
+ "learning_rate": 5.310426873605814e-05,
+ "loss": 0.014350908994674682,
+ "mean_token_accuracy": 0.9945570707321167,
+ "num_tokens": 56497839.0,
+ "step": 2750
+ },
+ {
+ "entropy": 0.9323545396327972,
+ "epoch": 5.082872928176796,
+ "grad_norm": 0.9675024747848511,
+ "learning_rate": 5.280026460405005e-05,
+ "loss": 0.016550135612487794,
+ "mean_token_accuracy": 0.9938908398151398,
+ "num_tokens": 56702932.0,
+ "step": 2760
+ },
+ {
+ "entropy": 0.89125554561615,
+ "epoch": 5.101289134438305,
+ "grad_norm": 0.8347184658050537,
+ "learning_rate": 5.2496156591358566e-05,
+ "loss": 0.017917826771736145,
+ "mean_token_accuracy": 0.9934309899806977,
+ "num_tokens": 56908644.0,
+ "step": 2770
+ },
+ {
+ "entropy": 0.8773505449295044,
+ "epoch": 5.119705340699816,
+ "grad_norm": 0.8869524598121643,
+ "learning_rate": 5.219195597939908e-05,
+ "loss": 0.017221055924892426,
+ "mean_token_accuracy": 0.993448656797409,
+ "num_tokens": 57114171.0,
+ "step": 2780
+ },
+ {
+ "entropy": 0.8874686002731323,
+ "epoch": 5.138121546961326,
+ "grad_norm": 1.0294251441955566,
+ "learning_rate": 5.1887674053022084e-05,
+ "loss": 0.018111808598041533,
+ "mean_token_accuracy": 0.9931293666362763,
+ "num_tokens": 57319158.0,
+ "step": 2790
+ },
+ {
+ "entropy": 0.8893351197242737,
+ "epoch": 5.156537753222836,
+ "grad_norm": 0.6253597736358643,
+ "learning_rate": 5.15833221000946e-05,
+ "loss": 0.017256538569927215,
+ "mean_token_accuracy": 0.9936724424362182,
+ "num_tokens": 57524901.0,
+ "step": 2800
+ },
+ {
+ "entropy": 0.9157109141349793,
+ "epoch": 5.1749539594843466,
+ "grad_norm": 0.6379142999649048,
+ "learning_rate": 5.12789114110814e-05,
+ "loss": 0.016415870189666747,
+ "mean_token_accuracy": 0.9939744889736175,
+ "num_tokens": 57730135.0,
+ "step": 2810
+ },
+ {
+ "entropy": 0.9157932877540589,
+ "epoch": 5.193370165745856,
+ "grad_norm": 0.7195688486099243,
+ "learning_rate": 5.097445327862619e-05,
+ "loss": 0.01577536463737488,
+ "mean_token_accuracy": 0.9941773355007172,
+ "num_tokens": 57936210.0,
+ "step": 2820
+ },
+ {
+ "entropy": 0.9179767727851867,
+ "epoch": 5.211786372007366,
+ "grad_norm": 0.7149335741996765,
+ "learning_rate": 5.066995899713264e-05,
+ "loss": 0.01606254279613495,
+ "mean_token_accuracy": 0.9937664806842804,
+ "num_tokens": 58141736.0,
+ "step": 2830
+ },
+ {
+ "entropy": 0.895512479543686,
+ "epoch": 5.230202578268877,
+ "grad_norm": 0.6460169553756714,
+ "learning_rate": 5.036543986234543e-05,
+ "loss": 0.01605578660964966,
+ "mean_token_accuracy": 0.994063013792038,
+ "num_tokens": 58347178.0,
+ "step": 2840
+ },
+ {
+ "entropy": 0.8883109211921691,
+ "epoch": 5.248618784530387,
+ "grad_norm": 0.72477787733078,
+ "learning_rate": 5.006090717093128e-05,
+ "loss": 0.016773784160614015,
+ "mean_token_accuracy": 0.9940340936183929,
+ "num_tokens": 58552952.0,
+ "step": 2850
+ },
+ {
+ "entropy": 0.8942575633525849,
+ "epoch": 5.267034990791897,
+ "grad_norm": 0.7344926595687866,
+ "learning_rate": 4.9756372220059736e-05,
+ "loss": 0.01604126989841461,
+ "mean_token_accuracy": 0.994256991147995,
+ "num_tokens": 58758449.0,
+ "step": 2860
+ },
+ {
+ "entropy": 0.8854099690914154,
+ "epoch": 5.285451197053407,
+ "grad_norm": 0.6142122149467468,
+ "learning_rate": 4.9451846306984214e-05,
+ "loss": 0.016244474053382873,
+ "mean_token_accuracy": 0.9938375532627106,
+ "num_tokens": 58963691.0,
+ "step": 2870
+ },
+ {
+ "entropy": 0.8745675146579742,
+ "epoch": 5.303867403314917,
+ "grad_norm": 0.8025366067886353,
+ "learning_rate": 4.9147340728622816e-05,
+ "loss": 0.01611460596323013,
+ "mean_token_accuracy": 0.9941173672676087,
+ "num_tokens": 59169484.0,
+ "step": 2880
+ },
+ {
+ "entropy": 0.8812389194965362,
+ "epoch": 5.322283609576427,
+ "grad_norm": 0.7699193358421326,
+ "learning_rate": 4.884286678113935e-05,
+ "loss": 0.016995206475257874,
+ "mean_token_accuracy": 0.9937523245811463,
+ "num_tokens": 59374627.0,
+ "step": 2890
+ },
+ {
+ "entropy": 0.8924362242221833,
+ "epoch": 5.3406998158379375,
+ "grad_norm": 0.7516226172447205,
+ "learning_rate": 4.853843575952414e-05,
+ "loss": 0.01652217358350754,
+ "mean_token_accuracy": 0.9936819314956665,
+ "num_tokens": 59580135.0,
+ "step": 2900
+ },
+ {
+ "entropy": 0.8972602427005768,
+ "epoch": 5.359116022099448,
+ "grad_norm": 0.7781681418418884,
+ "learning_rate": 4.823405895717521e-05,
+ "loss": 0.017360319197177888,
+ "mean_token_accuracy": 0.9935634732246399,
+ "num_tokens": 59785392.0,
+ "step": 2910
+ },
+ {
+ "entropy": 0.900998342037201,
+ "epoch": 5.377532228360957,
+ "grad_norm": 0.6837047934532166,
+ "learning_rate": 4.792974766547911e-05,
+ "loss": 0.017162233591079712,
+ "mean_token_accuracy": 0.993264091014862,
+ "num_tokens": 59991448.0,
+ "step": 2920
+ },
+ {
+ "entropy": 0.9239763855934143,
+ "epoch": 5.3959484346224675,
+ "grad_norm": 0.7188259363174438,
+ "learning_rate": 4.762551317339226e-05,
+ "loss": 0.01718595027923584,
+ "mean_token_accuracy": 0.9933857440948486,
+ "num_tokens": 60197079.0,
+ "step": 2930
+ },
+ {
+ "entropy": 0.9056789398193359,
+ "epoch": 5.414364640883978,
+ "grad_norm": 0.6922260522842407,
+ "learning_rate": 4.732136676702198e-05,
+ "loss": 0.016596907377243043,
+ "mean_token_accuracy": 0.9937462329864502,
+ "num_tokens": 60402299.0,
+ "step": 2940
+ },
+ {
+ "entropy": 0.9038522362709045,
+ "epoch": 5.432780847145488,
+ "grad_norm": 0.7937009930610657,
+ "learning_rate": 4.7017319729207954e-05,
+ "loss": 0.016130413115024566,
+ "mean_token_accuracy": 0.9941940546035767,
+ "num_tokens": 60607907.0,
+ "step": 2950
+ },
+ {
+ "entropy": 0.8911147236824035,
+ "epoch": 5.4511970534069984,
+ "grad_norm": 0.6261171698570251,
+ "learning_rate": 4.671338333910359e-05,
+ "loss": 0.01622493863105774,
+ "mean_token_accuracy": 0.9937945663928985,
+ "num_tokens": 60813428.0,
+ "step": 2960
+ },
+ {
+ "entropy": 0.8894322276115417,
+ "epoch": 5.469613259668508,
+ "grad_norm": 0.6898378729820251,
+ "learning_rate": 4.6409568871757645e-05,
+ "loss": 0.016513559222221374,
+ "mean_token_accuracy": 0.9936174690723419,
+ "num_tokens": 61018404.0,
+ "step": 2970
+ },
+ {
+ "entropy": 0.9026601016521454,
+ "epoch": 5.488029465930018,
+ "grad_norm": 0.7027897834777832,
+ "learning_rate": 4.610588759769593e-05,
+ "loss": 0.016727012395858765,
+ "mean_token_accuracy": 0.9941417872905731,
+ "num_tokens": 61223660.0,
+ "step": 2980
+ },
+ {
+ "entropy": 0.8903301954269409,
+ "epoch": 5.5064456721915285,
+ "grad_norm": 0.9087063074111938,
+ "learning_rate": 4.5802350782503196e-05,
+ "loss": 0.016929233074188234,
+ "mean_token_accuracy": 0.9935264468193055,
+ "num_tokens": 61429438.0,
+ "step": 2990
+ },
+ {
+ "entropy": 0.8886692762374878,
+ "epoch": 5.524861878453039,
+ "grad_norm": 0.8283822536468506,
+ "learning_rate": 4.5498969686405266e-05,
+ "loss": 0.015396638214588166,
+ "mean_token_accuracy": 0.99433131814003,
+ "num_tokens": 61635274.0,
+ "step": 3000
+ },
+ {
+ "entropy": 0.8902086555957794,
+ "epoch": 5.543278084714549,
+ "grad_norm": 0.7676647305488586,
+ "learning_rate": 4.5195755563851336e-05,
+ "loss": 0.01673731654882431,
+ "mean_token_accuracy": 0.9938134133815766,
+ "num_tokens": 61840778.0,
+ "step": 3010
+ },
+ {
+ "entropy": 0.8941606819629669,
+ "epoch": 5.5616942909760585,
+ "grad_norm": 0.7026392221450806,
+ "learning_rate": 4.489271966309634e-05,
+ "loss": 0.01694796681404114,
+ "mean_token_accuracy": 0.9936233103275299,
+ "num_tokens": 62046355.0,
+ "step": 3020
+ },
+ {
+ "entropy": 0.90918750166893,
+ "epoch": 5.580110497237569,
+ "grad_norm": 0.7146924734115601,
+ "learning_rate": 4.4589873225783806e-05,
+ "loss": 0.01852080672979355,
+ "mean_token_accuracy": 0.9928994178771973,
+ "num_tokens": 62251709.0,
+ "step": 3030
+ },
+ {
+ "entropy": 0.8946544349193573,
+ "epoch": 5.598526703499079,
+ "grad_norm": 0.607246458530426,
+ "learning_rate": 4.428722748652881e-05,
+ "loss": 0.016636812686920167,
+ "mean_token_accuracy": 0.9939334273338318,
+ "num_tokens": 62456680.0,
+ "step": 3040
+ },
+ {
+ "entropy": 0.8854653835296631,
+ "epoch": 5.616942909760589,
+ "grad_norm": 0.7457882165908813,
+ "learning_rate": 4.3984793672501124e-05,
+ "loss": 0.016008296608924867,
+ "mean_token_accuracy": 0.9940589666366577,
+ "num_tokens": 62662038.0,
+ "step": 3050
+ },
+ {
+ "entropy": 0.8921085000038147,
+ "epoch": 5.6353591160221,
+ "grad_norm": 0.7707350254058838,
+ "learning_rate": 4.368258300300888e-05,
+ "loss": 0.016655120253562927,
+ "mean_token_accuracy": 0.993935889005661,
+ "num_tokens": 62867272.0,
+ "step": 3060
+ },
+ {
+ "entropy": 0.8768653869628906,
+ "epoch": 5.653775322283609,
+ "grad_norm": 0.6994554996490479,
+ "learning_rate": 4.3380606689082166e-05,
+ "loss": 0.015841150283813478,
+ "mean_token_accuracy": 0.9944550096988678,
+ "num_tokens": 63072403.0,
+ "step": 3070
+ },
+ {
+ "entropy": 0.8767679035663605,
+ "epoch": 5.672191528545119,
+ "grad_norm": 0.8327192068099976,
+ "learning_rate": 4.307887593305733e-05,
+ "loss": 0.015826576948165895,
+ "mean_token_accuracy": 0.9941202461719513,
+ "num_tokens": 63277635.0,
+ "step": 3080
+ },
+ {
+ "entropy": 0.8763292253017425,
+ "epoch": 5.69060773480663,
+ "grad_norm": 0.7224747538566589,
+ "learning_rate": 4.277740192816127e-05,
+ "loss": 0.015298140048980714,
+ "mean_token_accuracy": 0.9943080008029938,
+ "num_tokens": 63483196.0,
+ "step": 3090
+ },
+ {
+ "entropy": 0.8834661841392517,
+ "epoch": 5.70902394106814,
+ "grad_norm": 0.9508277773857117,
+ "learning_rate": 4.247619585809627e-05,
+ "loss": 0.01658404469490051,
+ "mean_token_accuracy": 0.9934300124645233,
+ "num_tokens": 63688721.0,
+ "step": 3100
+ },
+ {
+ "entropy": 0.899389523267746,
+ "epoch": 5.72744014732965,
+ "grad_norm": 0.7170981168746948,
+ "learning_rate": 4.217526889662512e-05,
+ "loss": 0.015803813934326172,
+ "mean_token_accuracy": 0.9940325975418091,
+ "num_tokens": 63894220.0,
+ "step": 3110
+ },
+ {
+ "entropy": 0.8968011736869812,
+ "epoch": 5.74585635359116,
+ "grad_norm": 0.6686251163482666,
+ "learning_rate": 4.187463220715659e-05,
+ "loss": 0.015874400734901428,
+ "mean_token_accuracy": 0.9940970957279205,
+ "num_tokens": 64099768.0,
+ "step": 3120
+ },
+ {
+ "entropy": 0.8900792479515076,
+ "epoch": 5.76427255985267,
+ "grad_norm": 0.5979828238487244,
+ "learning_rate": 4.157429694233128e-05,
+ "loss": 0.01613767147064209,
+ "mean_token_accuracy": 0.9942961037158966,
+ "num_tokens": 64305055.0,
+ "step": 3130
+ },
+ {
+ "entropy": 0.8899810135364532,
+ "epoch": 5.78268876611418,
+ "grad_norm": 0.7330048084259033,
+ "learning_rate": 4.127427424360794e-05,
+ "loss": 0.016168563067913054,
+ "mean_token_accuracy": 0.9941077649593353,
+ "num_tokens": 64510002.0,
+ "step": 3140
+ },
+ {
+ "entropy": 0.8805335581302642,
+ "epoch": 5.801104972375691,
+ "grad_norm": 0.5978623032569885,
+ "learning_rate": 4.09745752408501e-05,
+ "loss": 0.01524556577205658,
+ "mean_token_accuracy": 0.994326776266098,
+ "num_tokens": 64715431.0,
+ "step": 3150
+ },
+ {
+ "entropy": 0.878781646490097,
+ "epoch": 5.819521178637201,
+ "grad_norm": 0.6749313473701477,
+ "learning_rate": 4.067521105191331e-05,
+ "loss": 0.015209287405014038,
+ "mean_token_accuracy": 0.9942974805831909,
+ "num_tokens": 64921579.0,
+ "step": 3160
+ },
+ {
+ "entropy": 0.8844729900360108,
+ "epoch": 5.83793738489871,
+ "grad_norm": 0.6887196898460388,
+ "learning_rate": 4.037619278223255e-05,
+ "loss": 0.01619938760995865,
+ "mean_token_accuracy": 0.9937683045864105,
+ "num_tokens": 65127007.0,
+ "step": 3170
+ },
+ {
+ "entropy": 0.8780498623847961,
+ "epoch": 5.856353591160221,
+ "grad_norm": 0.6962174773216248,
+ "learning_rate": 4.0077531524410304e-05,
+ "loss": 0.015934592485427855,
+ "mean_token_accuracy": 0.9935103774070739,
+ "num_tokens": 65332418.0,
+ "step": 3180
+ },
+ {
+ "entropy": 0.8889612555503845,
+ "epoch": 5.874769797421731,
+ "grad_norm": 0.6049854159355164,
+ "learning_rate": 3.977923835780517e-05,
+ "loss": 0.01600206792354584,
+ "mean_token_accuracy": 0.9937360048294067,
+ "num_tokens": 65537845.0,
+ "step": 3190
+ },
+ {
+ "entropy": 0.8960810244083405,
+ "epoch": 5.893186003683241,
+ "grad_norm": 0.6341013312339783,
+ "learning_rate": 3.948132434812065e-05,
+ "loss": 0.0143389493227005,
+ "mean_token_accuracy": 0.9948007702827454,
+ "num_tokens": 65743412.0,
+ "step": 3200
+ },
+ {
+ "entropy": 0.887304550409317,
+ "epoch": 5.911602209944752,
+ "grad_norm": 0.7564852237701416,
+ "learning_rate": 3.9183800546994886e-05,
+ "loss": 0.016044440865516662,
+ "mean_token_accuracy": 0.9939335525035858,
+ "num_tokens": 65948884.0,
+ "step": 3210
+ },
+ {
+ "entropy": 0.8823239862918854,
+ "epoch": 5.930018416206261,
+ "grad_norm": 0.6525556445121765,
+ "learning_rate": 3.8886677991590435e-05,
+ "loss": 0.016112390160560607,
+ "mean_token_accuracy": 0.9938134670257568,
+ "num_tokens": 66153768.0,
+ "step": 3220
+ },
+ {
+ "entropy": 0.8712829887866974,
+ "epoch": 5.948434622467771,
+ "grad_norm": 0.676167368888855,
+ "learning_rate": 3.858996770418504e-05,
+ "loss": 0.015146306157112122,
+ "mean_token_accuracy": 0.9944733619689942,
+ "num_tokens": 66359661.0,
+ "step": 3230
+ },
+ {
+ "entropy": 0.8734102070331573,
+ "epoch": 5.966850828729282,
+ "grad_norm": 0.6284340023994446,
+ "learning_rate": 3.829368069176257e-05,
+ "loss": 0.017269474267959595,
+ "mean_token_accuracy": 0.9938443183898926,
+ "num_tokens": 66565228.0,
+ "step": 3240
+ },
+ {
+ "entropy": 0.8757335782051087,
+ "epoch": 5.985267034990792,
+ "grad_norm": 0.722522497177124,
+ "learning_rate": 3.799782794560484e-05,
+ "loss": 0.015032704174518585,
+ "mean_token_accuracy": 0.9942249894142151,
+ "num_tokens": 66770718.0,
+ "step": 3250
+ },
+ {
+ "epoch": 6.0,
+ "eval_entropy": 0.8780099873957427,
+ "eval_loss": 0.06740746647119522,
+ "eval_mean_token_accuracy": 0.9795082377350849,
+ "eval_num_tokens": 66935435.0,
+ "eval_runtime": 10.0955,
+ "eval_samples_per_second": 362.34,
+ "eval_steps_per_second": 11.391,
+ "step": 3258
+ },
+ {
+ "entropy": 0.8773481965065002,
+ "epoch": 6.003683241252302,
+ "grad_norm": 0.49184396862983704,
+ "learning_rate": 3.770242044088375e-05,
+ "loss": 0.013721099495887757,
+ "mean_token_accuracy": 0.9951768457889557,
+ "num_tokens": 66976478.0,
+ "step": 3260
+ },
+ {
+ "entropy": 0.8643155217170715,
+ "epoch": 6.0220994475138125,
+ "grad_norm": 0.4903622567653656,
+ "learning_rate": 3.7407469136254234e-05,
+ "loss": 0.009165047109127045,
+ "mean_token_accuracy": 0.9969388306140899,
+ "num_tokens": 67182251.0,
+ "step": 3270
+ },
+ {
+ "entropy": 0.8560326337814331,
+ "epoch": 6.040515653775322,
+ "grad_norm": 0.6360073685646057,
+ "learning_rate": 3.711298497344766e-05,
+ "loss": 0.010200753808021545,
+ "mean_token_accuracy": 0.9964211463928223,
+ "num_tokens": 67387493.0,
+ "step": 3280
+ },
+ {
+ "entropy": 0.8391405165195465,
+ "epoch": 6.058931860036832,
+ "grad_norm": 0.519554853439331,
+ "learning_rate": 3.6818978876865984e-05,
+ "loss": 0.008906974643468856,
+ "mean_token_accuracy": 0.9966452360153198,
+ "num_tokens": 67593314.0,
+ "step": 3290
+ },
+ {
+ "entropy": 0.8300552070140839,
+ "epoch": 6.077348066298343,
+ "grad_norm": 0.5294632911682129,
+ "learning_rate": 3.6525461753176426e-05,
+ "loss": 0.008088209480047227,
+ "mean_token_accuracy": 0.9971098065376282,
+ "num_tokens": 67798634.0,
+ "step": 3300
+ },
+ {
+ "entropy": 0.822588461637497,
+ "epoch": 6.095764272559853,
+ "grad_norm": 0.46423637866973877,
+ "learning_rate": 3.623244449090697e-05,
+ "loss": 0.008058926463127137,
+ "mean_token_accuracy": 0.9970856845378876,
+ "num_tokens": 68003683.0,
+ "step": 3310
+ },
+ {
+ "entropy": 0.8130167067050934,
+ "epoch": 6.114180478821363,
+ "grad_norm": 0.497258722782135,
+ "learning_rate": 3.5939937960042314e-05,
+ "loss": 0.008712668716907502,
+ "mean_token_accuracy": 0.996820193529129,
+ "num_tokens": 68208795.0,
+ "step": 3320
+ },
+ {
+ "entropy": 0.8035802125930787,
+ "epoch": 6.132596685082873,
+ "grad_norm": 0.43152952194213867,
+ "learning_rate": 3.5647953011620716e-05,
+ "loss": 0.008366625010967254,
+ "mean_token_accuracy": 0.9969616234302521,
+ "num_tokens": 68414414.0,
+ "step": 3330
+ },
+ {
+ "entropy": 0.8028200149536133,
+ "epoch": 6.151012891344383,
+ "grad_norm": 0.6057612299919128,
+ "learning_rate": 3.535650047733141e-05,
+ "loss": 0.00967741459608078,
+ "mean_token_accuracy": 0.9963694036006927,
+ "num_tokens": 68619806.0,
+ "step": 3340
+ },
+ {
+ "entropy": 0.7982640087604522,
+ "epoch": 6.169429097605893,
+ "grad_norm": 0.4966030716896057,
+ "learning_rate": 3.5065591169112785e-05,
+ "loss": 0.00934397652745247,
+ "mean_token_accuracy": 0.9969527781009674,
+ "num_tokens": 68825254.0,
+ "step": 3350
+ },
+ {
+ "entropy": 0.7859498977661132,
+ "epoch": 6.1878453038674035,
+ "grad_norm": 0.6962474584579468,
+ "learning_rate": 3.477523587875139e-05,
+ "loss": 0.010414297878742217,
+ "mean_token_accuracy": 0.996203750371933,
+ "num_tokens": 69031043.0,
+ "step": 3360
+ },
+ {
+ "entropy": 0.7869667530059814,
+ "epoch": 6.206261510128914,
+ "grad_norm": 0.6078894734382629,
+ "learning_rate": 3.448544537748143e-05,
+ "loss": 0.008547455072402954,
+ "mean_token_accuracy": 0.9968406975269317,
+ "num_tokens": 69236559.0,
+ "step": 3370
+ },
+ {
+ "entropy": 0.8036401033401489,
+ "epoch": 6.224677716390423,
+ "grad_norm": 0.5990306735038757,
+ "learning_rate": 3.4196230415585337e-05,
+ "loss": 0.00924447700381279,
+ "mean_token_accuracy": 0.9967190623283386,
+ "num_tokens": 69441764.0,
+ "step": 3380
+ },
+ {
+ "entropy": 0.8085561394691467,
+ "epoch": 6.2430939226519335,
+ "grad_norm": 0.46029484272003174,
+ "learning_rate": 3.390760172199486e-05,
+ "loss": 0.008379801362752914,
+ "mean_token_accuracy": 0.9970395743846894,
+ "num_tokens": 69647075.0,
+ "step": 3390
+ },
+ {
+ "entropy": 0.8132422208786011,
+ "epoch": 6.261510128913444,
+ "grad_norm": 0.5699496865272522,
+ "learning_rate": 3.361957000389315e-05,
+ "loss": 0.009426499903202056,
+ "mean_token_accuracy": 0.996586662530899,
+ "num_tokens": 69852809.0,
+ "step": 3400
+ },
+ {
+ "entropy": 0.8065890491008758,
+ "epoch": 6.279926335174954,
+ "grad_norm": 0.6212234497070312,
+ "learning_rate": 3.33321459463175e-05,
+ "loss": 0.009811153262853622,
+ "mean_token_accuracy": 0.9965905249118805,
+ "num_tokens": 70057955.0,
+ "step": 3410
+ },
+ {
+ "entropy": 0.7904254853725433,
+ "epoch": 6.298342541436464,
+ "grad_norm": 0.8000790476799011,
+ "learning_rate": 3.304534021176299e-05,
+ "loss": 0.00957801640033722,
+ "mean_token_accuracy": 0.9964518308639526,
+ "num_tokens": 70263517.0,
+ "step": 3420
+ },
+ {
+ "entropy": 0.7971100151538849,
+ "epoch": 6.316758747697974,
+ "grad_norm": 0.6359512209892273,
+ "learning_rate": 3.275916343978689e-05,
+ "loss": 0.009681916236877442,
+ "mean_token_accuracy": 0.9967545390129089,
+ "num_tokens": 70468400.0,
+ "step": 3430
+ },
+ {
+ "entropy": 0.7987187504768372,
+ "epoch": 6.335174953959484,
+ "grad_norm": 0.5094901919364929,
+ "learning_rate": 3.247362624661406e-05,
+ "loss": 0.009966370463371278,
+ "mean_token_accuracy": 0.9964035987854004,
+ "num_tokens": 70673648.0,
+ "step": 3440
+ },
+ {
+ "entropy": 0.7850228011608124,
+ "epoch": 6.3535911602209945,
+ "grad_norm": 0.5554385185241699,
+ "learning_rate": 3.218873922474303e-05,
+ "loss": 0.009521079063415528,
+ "mean_token_accuracy": 0.9966651916503906,
+ "num_tokens": 70879452.0,
+ "step": 3450
+ },
+ {
+ "entropy": 0.7885844230651855,
+ "epoch": 6.372007366482505,
+ "grad_norm": 0.5217951536178589,
+ "learning_rate": 3.190451294255314e-05,
+ "loss": 0.00949474424123764,
+ "mean_token_accuracy": 0.9966598808765411,
+ "num_tokens": 71085217.0,
+ "step": 3460
+ },
+ {
+ "entropy": 0.797072297334671,
+ "epoch": 6.390423572744015,
+ "grad_norm": 0.5385560393333435,
+ "learning_rate": 3.162095794391241e-05,
+ "loss": 0.009810312837362289,
+ "mean_token_accuracy": 0.9965846955776214,
+ "num_tokens": 71290955.0,
+ "step": 3470
+ },
+ {
+ "entropy": 0.8024774849414825,
+ "epoch": 6.4088397790055245,
+ "grad_norm": 0.5419294238090515,
+ "learning_rate": 3.1338084747786456e-05,
+ "loss": 0.009127366542816161,
+ "mean_token_accuracy": 0.9968222141265869,
+ "num_tokens": 71496654.0,
+ "step": 3480
+ },
+ {
+ "entropy": 0.8082470417022705,
+ "epoch": 6.427255985267035,
+ "grad_norm": 0.7315362095832825,
+ "learning_rate": 3.105590384784821e-05,
+ "loss": 0.008642691373825073,
+ "mean_token_accuracy": 0.9970867097377777,
+ "num_tokens": 71701725.0,
+ "step": 3490
+ },
+ {
+ "entropy": 0.804630172252655,
+ "epoch": 6.445672191528545,
+ "grad_norm": 0.6668549180030823,
+ "learning_rate": 3.0774425712088676e-05,
+ "loss": 0.008679335564374923,
+ "mean_token_accuracy": 0.9969714701175689,
+ "num_tokens": 71907003.0,
+ "step": 3500
+ },
+ {
+ "entropy": 0.7939219176769257,
+ "epoch": 6.464088397790055,
+ "grad_norm": 0.8388434648513794,
+ "learning_rate": 3.049366078242864e-05,
+ "loss": 0.009249264001846313,
+ "mean_token_accuracy": 0.99674671292305,
+ "num_tokens": 72112532.0,
+ "step": 3510
+ },
+ {
+ "entropy": 0.78477823138237,
+ "epoch": 6.482504604051566,
+ "grad_norm": 0.4963231682777405,
+ "learning_rate": 3.021361947433125e-05,
+ "loss": 0.009192919731140137,
+ "mean_token_accuracy": 0.9965968191623688,
+ "num_tokens": 72318518.0,
+ "step": 3520
+ },
+ {
+ "entropy": 0.7841647148132325,
+ "epoch": 6.500920810313076,
+ "grad_norm": 0.5681823492050171,
+ "learning_rate": 2.9934312176415636e-05,
+ "loss": 0.008821797370910645,
+ "mean_token_accuracy": 0.9968703150749206,
+ "num_tokens": 72524548.0,
+ "step": 3530
+ },
+ {
+ "entropy": 0.7848304688930512,
+ "epoch": 6.519337016574585,
+ "grad_norm": 0.7126080393791199,
+ "learning_rate": 2.965574925007154e-05,
+ "loss": 0.009742744266986847,
+ "mean_token_accuracy": 0.9964317202568054,
+ "num_tokens": 72729659.0,
+ "step": 3540
+ },
+ {
+ "entropy": 0.7899512410163879,
+ "epoch": 6.537753222836096,
+ "grad_norm": 0.7015056014060974,
+ "learning_rate": 2.9377941029074986e-05,
+ "loss": 0.008977667987346649,
+ "mean_token_accuracy": 0.9968570172786713,
+ "num_tokens": 72934865.0,
+ "step": 3550
+ },
+ {
+ "entropy": 0.797937935590744,
+ "epoch": 6.556169429097606,
+ "grad_norm": 0.700501024723053,
+ "learning_rate": 2.910089781920486e-05,
+ "loss": 0.00973074734210968,
+ "mean_token_accuracy": 0.996515303850174,
+ "num_tokens": 73139684.0,
+ "step": 3560
+ },
+ {
+ "entropy": 0.7993333518505097,
+ "epoch": 6.574585635359116,
+ "grad_norm": 0.44471475481987,
+ "learning_rate": 2.882462989786061e-05,
+ "loss": 0.008206719905138016,
+ "mean_token_accuracy": 0.9968972980976105,
+ "num_tokens": 73345547.0,
+ "step": 3570
+ },
+ {
+ "entropy": 0.7961922466754914,
+ "epoch": 6.593001841620627,
+ "grad_norm": 0.5011329054832458,
+ "learning_rate": 2.854914751368109e-05,
+ "loss": 0.009073075652122498,
+ "mean_token_accuracy": 0.9968676805496216,
+ "num_tokens": 73550822.0,
+ "step": 3580
+ },
+ {
+ "entropy": 0.8064342319965363,
+ "epoch": 6.611418047882136,
+ "grad_norm": 0.6375740766525269,
+ "learning_rate": 2.82744608861642e-05,
+ "loss": 0.009309899061918259,
+ "mean_token_accuracy": 0.9967096745967865,
+ "num_tokens": 73756564.0,
+ "step": 3590
+ },
+ {
+ "entropy": 0.8025432348251342,
+ "epoch": 6.629834254143646,
+ "grad_norm": 0.8449372053146362,
+ "learning_rate": 2.8000580205287874e-05,
+ "loss": 0.009333166480064391,
+ "mean_token_accuracy": 0.9967890501022338,
+ "num_tokens": 73961849.0,
+ "step": 3600
+ },
+ {
+ "entropy": 0.8010810256004334,
+ "epoch": 6.648250460405157,
+ "grad_norm": 0.9473148584365845,
+ "learning_rate": 2.772751563113213e-05,
+ "loss": 0.00938543900847435,
+ "mean_token_accuracy": 0.996571558713913,
+ "num_tokens": 74167074.0,
+ "step": 3610
+ },
+ {
+ "entropy": 0.7954266011714936,
+ "epoch": 6.666666666666667,
+ "grad_norm": 0.4197849631309509,
+ "learning_rate": 2.7455277293502007e-05,
+ "loss": 0.008846811950206757,
+ "mean_token_accuracy": 0.9970432996749878,
+ "num_tokens": 74372119.0,
+ "step": 3620
+ },
+ {
+ "entropy": 0.7859483778476715,
+ "epoch": 6.685082872928177,
+ "grad_norm": 0.5353069305419922,
+ "learning_rate": 2.7183875291551892e-05,
+ "loss": 0.008807064592838287,
+ "mean_token_accuracy": 0.9969651758670807,
+ "num_tokens": 74577516.0,
+ "step": 3630
+ },
+ {
+ "entropy": 0.7940182387828827,
+ "epoch": 6.703499079189687,
+ "grad_norm": 0.5789965391159058,
+ "learning_rate": 2.6913319693410828e-05,
+ "loss": 0.008173662424087524,
+ "mean_token_accuracy": 0.9970715939998627,
+ "num_tokens": 74783031.0,
+ "step": 3640
+ },
+ {
+ "entropy": 0.7871349632740021,
+ "epoch": 6.721915285451197,
+ "grad_norm": 0.5887596011161804,
+ "learning_rate": 2.6643620535809076e-05,
+ "loss": 0.008517104387283325,
+ "mean_token_accuracy": 0.9969267845153809,
+ "num_tokens": 74988646.0,
+ "step": 3650
+ },
+ {
+ "entropy": 0.783170485496521,
+ "epoch": 6.740331491712707,
+ "grad_norm": 0.6228395104408264,
+ "learning_rate": 2.637478782370574e-05,
+ "loss": 0.008941689878702164,
+ "mean_token_accuracy": 0.9967794418334961,
+ "num_tokens": 75193938.0,
+ "step": 3660
+ },
+ {
+ "entropy": 0.7779926240444184,
+ "epoch": 6.758747697974218,
+ "grad_norm": 0.7367292642593384,
+ "learning_rate": 2.61068315299176e-05,
+ "loss": 0.009662539511919022,
+ "mean_token_accuracy": 0.9965554535388946,
+ "num_tokens": 75399816.0,
+ "step": 3670
+ },
+ {
+ "entropy": 0.7756146490573883,
+ "epoch": 6.777163904235728,
+ "grad_norm": 0.7478228807449341,
+ "learning_rate": 2.5839761594749167e-05,
+ "loss": 0.008691602945327758,
+ "mean_token_accuracy": 0.996806287765503,
+ "num_tokens": 75605531.0,
+ "step": 3680
+ },
+ {
+ "entropy": 0.7793804049491883,
+ "epoch": 6.795580110497237,
+ "grad_norm": 0.580205500125885,
+ "learning_rate": 2.5573587925623964e-05,
+ "loss": 0.00922732800245285,
+ "mean_token_accuracy": 0.9966219186782836,
+ "num_tokens": 75811143.0,
+ "step": 3690
+ },
+ {
+ "entropy": 0.7817609786987305,
+ "epoch": 6.813996316758748,
+ "grad_norm": 0.3849862813949585,
+ "learning_rate": 2.530832039671694e-05,
+ "loss": 0.00812167227268219,
+ "mean_token_accuracy": 0.9970280706882477,
+ "num_tokens": 76016366.0,
+ "step": 3700
+ },
+ {
+ "entropy": 0.7793294489383698,
+ "epoch": 6.832412523020258,
+ "grad_norm": 0.4873282313346863,
+ "learning_rate": 2.504396884858825e-05,
+ "loss": 0.008183138072490692,
+ "mean_token_accuracy": 0.9973145961761475,
+ "num_tokens": 76221692.0,
+ "step": 3710
+ },
+ {
+ "entropy": 0.7805068492889404,
+ "epoch": 6.850828729281768,
+ "grad_norm": 0.6652786135673523,
+ "learning_rate": 2.478054308781807e-05,
+ "loss": 0.009141853451728821,
+ "mean_token_accuracy": 0.9968416154384613,
+ "num_tokens": 76427170.0,
+ "step": 3720
+ },
+ {
+ "entropy": 0.7799863159656525,
+ "epoch": 6.8692449355432785,
+ "grad_norm": 0.5895428657531738,
+ "learning_rate": 2.451805288664298e-05,
+ "loss": 0.009343943744897842,
+ "mean_token_accuracy": 0.9968909084796905,
+ "num_tokens": 76632450.0,
+ "step": 3730
+ },
+ {
+ "entropy": 0.7819362223148346,
+ "epoch": 6.887661141804788,
+ "grad_norm": 0.6007734537124634,
+ "learning_rate": 2.425650798259327e-05,
+ "loss": 0.008081933856010437,
+ "mean_token_accuracy": 0.9972956955432892,
+ "num_tokens": 76837993.0,
+ "step": 3740
+ },
+ {
+ "entropy": 0.7859819054603576,
+ "epoch": 6.906077348066298,
+ "grad_norm": 0.5510725975036621,
+ "learning_rate": 2.39959180781318e-05,
+ "loss": 0.008848348259925842,
+ "mean_token_accuracy": 0.9968287885189057,
+ "num_tokens": 77043697.0,
+ "step": 3750
+ },
+ {
+ "entropy": 0.7813855290412903,
+ "epoch": 6.9244935543278086,
+ "grad_norm": 0.5004434585571289,
+ "learning_rate": 2.3736292840294122e-05,
+ "loss": 0.00795777291059494,
+ "mean_token_accuracy": 0.9973017990589141,
+ "num_tokens": 77248720.0,
+ "step": 3760
+ },
+ {
+ "entropy": 0.774254196882248,
+ "epoch": 6.942909760589319,
+ "grad_norm": 0.7068622708320618,
+ "learning_rate": 2.347764190032974e-05,
+ "loss": 0.007790238410234451,
+ "mean_token_accuracy": 0.997188663482666,
+ "num_tokens": 77454096.0,
+ "step": 3770
+ },
+ {
+ "entropy": 0.7675817251205445,
+ "epoch": 6.961325966850829,
+ "grad_norm": 0.5110977292060852,
+ "learning_rate": 2.3219974853344905e-05,
+ "loss": 0.008631375432014466,
+ "mean_token_accuracy": 0.9967362582683563,
+ "num_tokens": 77659811.0,
+ "step": 3780
+ },
+ {
+ "entropy": 0.7719516515731811,
+ "epoch": 6.979742173112339,
+ "grad_norm": 0.6288211941719055,
+ "learning_rate": 2.2963301257946622e-05,
+ "loss": 0.00804171860218048,
+ "mean_token_accuracy": 0.9971263229846954,
+ "num_tokens": 77865539.0,
+ "step": 3790
+ },
+ {
+ "entropy": 0.7786632418632508,
+ "epoch": 6.998158379373849,
+ "grad_norm": 0.5279833078384399,
+ "learning_rate": 2.270763063588814e-05,
+ "loss": 0.007490953803062439,
+ "mean_token_accuracy": 0.9974353730678558,
+ "num_tokens": 78070767.0,
+ "step": 3800
+ },
+ {
+ "epoch": 7.0,
+ "eval_entropy": 0.7808213239130767,
+ "eval_loss": 0.07382760941982269,
+ "eval_mean_token_accuracy": 0.9800234224485315,
+ "eval_num_tokens": 78091327.0,
+ "eval_runtime": 10.072,
+ "eval_samples_per_second": 363.186,
+ "eval_steps_per_second": 11.418,
+ "step": 3801
+ },
+ {
+ "entropy": 0.7750412881374359,
+ "epoch": 7.016574585635359,
+ "grad_norm": 0.3850567936897278,
+ "learning_rate": 2.2452972471715644e-05,
+ "loss": 0.005539501458406449,
+ "mean_token_accuracy": 0.9983771502971649,
+ "num_tokens": 78276132.0,
+ "step": 3810
+ },
+ {
+ "entropy": 0.7673899948596954,
+ "epoch": 7.0349907918968695,
+ "grad_norm": 0.4390123188495636,
+ "learning_rate": 2.2199336212416406e-05,
+ "loss": 0.0051019065082073215,
+ "mean_token_accuracy": 0.9984941363334656,
+ "num_tokens": 78481842.0,
+ "step": 3820
+ },
+ {
+ "entropy": 0.7712743639945984,
+ "epoch": 7.05340699815838,
+ "grad_norm": 0.48151132464408875,
+ "learning_rate": 2.1946731267068386e-05,
+ "loss": 0.005401181802153587,
+ "mean_token_accuracy": 0.9984619855880738,
+ "num_tokens": 78687831.0,
+ "step": 3830
+ },
+ {
+ "entropy": 0.772344833612442,
+ "epoch": 7.071823204419889,
+ "grad_norm": 0.3234920799732208,
+ "learning_rate": 2.169516700649115e-05,
+ "loss": 0.004806514084339142,
+ "mean_token_accuracy": 0.9984551191329956,
+ "num_tokens": 78893336.0,
+ "step": 3840
+ },
+ {
+ "entropy": 0.7736243844032288,
+ "epoch": 7.0902394106813995,
+ "grad_norm": 0.4605523645877838,
+ "learning_rate": 2.1444652762898242e-05,
+ "loss": 0.0041438989341259,
+ "mean_token_accuracy": 0.9988476693630218,
+ "num_tokens": 79098566.0,
+ "step": 3850
+ },
+ {
+ "entropy": 0.7667625486850739,
+ "epoch": 7.10865561694291,
+ "grad_norm": 0.43270638585090637,
+ "learning_rate": 2.119519782955105e-05,
+ "loss": 0.004775972291827202,
+ "mean_token_accuracy": 0.9984218835830688,
+ "num_tokens": 79303871.0,
+ "step": 3860
+ },
+ {
+ "entropy": 0.7631282329559326,
+ "epoch": 7.12707182320442,
+ "grad_norm": 0.35699328780174255,
+ "learning_rate": 2.094681146041394e-05,
+ "loss": 0.00421409159898758,
+ "mean_token_accuracy": 0.9988139629364013,
+ "num_tokens": 79509090.0,
+ "step": 3870
+ },
+ {
+ "entropy": 0.7578658938407898,
+ "epoch": 7.14548802946593,
+ "grad_norm": 0.6432686448097229,
+ "learning_rate": 2.06995028698111e-05,
+ "loss": 0.004374136403203011,
+ "mean_token_accuracy": 0.998746919631958,
+ "num_tokens": 79714834.0,
+ "step": 3880
+ },
+ {
+ "entropy": 0.7558880388736725,
+ "epoch": 7.16390423572744,
+ "grad_norm": 0.7402953505516052,
+ "learning_rate": 2.0453281232084586e-05,
+ "loss": 0.004856631904840469,
+ "mean_token_accuracy": 0.9985869526863098,
+ "num_tokens": 79920226.0,
+ "step": 3890
+ },
+ {
+ "entropy": 0.7542947113513947,
+ "epoch": 7.18232044198895,
+ "grad_norm": 0.3336258828639984,
+ "learning_rate": 2.0208155681254076e-05,
+ "loss": 0.0044605318456888195,
+ "mean_token_accuracy": 0.9986851871013641,
+ "num_tokens": 80125096.0,
+ "step": 3900
+ },
+ {
+ "entropy": 0.7547785460948944,
+ "epoch": 7.2007366482504604,
+ "grad_norm": 0.48785507678985596,
+ "learning_rate": 1.9964135310678017e-05,
+ "loss": 0.004243453219532967,
+ "mean_token_accuracy": 0.99877148270607,
+ "num_tokens": 80330544.0,
+ "step": 3910
+ },
+ {
+ "entropy": 0.7504124104976654,
+ "epoch": 7.219152854511971,
+ "grad_norm": 0.462425172328949,
+ "learning_rate": 1.9721229172716245e-05,
+ "loss": 0.004574070125818253,
+ "mean_token_accuracy": 0.9984130024909973,
+ "num_tokens": 80536072.0,
+ "step": 3920
+ },
+ {
+ "entropy": 0.7527936816215515,
+ "epoch": 7.237569060773481,
+ "grad_norm": 0.38035058975219727,
+ "learning_rate": 1.9479446278394208e-05,
+ "loss": 0.004055039957165718,
+ "mean_token_accuracy": 0.9987563371658326,
+ "num_tokens": 80741305.0,
+ "step": 3930
+ },
+ {
+ "entropy": 0.7502566337585449,
+ "epoch": 7.2559852670349905,
+ "grad_norm": 0.3040870428085327,
+ "learning_rate": 1.9238795597068665e-05,
+ "loss": 0.0041418131440877914,
+ "mean_token_accuracy": 0.998740965127945,
+ "num_tokens": 80946776.0,
+ "step": 3940
+ },
+ {
+ "entropy": 0.7453009426593781,
+ "epoch": 7.274401473296501,
+ "grad_norm": 0.39008331298828125,
+ "learning_rate": 1.8999286056095e-05,
+ "loss": 0.003949865326285362,
+ "mean_token_accuracy": 0.9989946007728576,
+ "num_tokens": 81151930.0,
+ "step": 3950
+ },
+ {
+ "entropy": 0.7451439797878265,
+ "epoch": 7.292817679558011,
+ "grad_norm": 0.44502392411231995,
+ "learning_rate": 1.8760926540496006e-05,
+ "loss": 0.0047814734280109406,
+ "mean_token_accuracy": 0.9984888076782227,
+ "num_tokens": 81357559.0,
+ "step": 3960
+ },
+ {
+ "entropy": 0.749438214302063,
+ "epoch": 7.311233885819521,
+ "grad_norm": 0.5195235013961792,
+ "learning_rate": 1.8523725892632253e-05,
+ "loss": 0.004281774908304214,
+ "mean_token_accuracy": 0.9987141609191894,
+ "num_tokens": 81563294.0,
+ "step": 3970
+ },
+ {
+ "entropy": 0.7536393761634826,
+ "epoch": 7.329650092081032,
+ "grad_norm": 0.34366822242736816,
+ "learning_rate": 1.828769291187413e-05,
+ "loss": 0.0038790594786405562,
+ "mean_token_accuracy": 0.9988636136054992,
+ "num_tokens": 81768219.0,
+ "step": 3980
+ },
+ {
+ "entropy": 0.750888729095459,
+ "epoch": 7.348066298342541,
+ "grad_norm": 0.3888038098812103,
+ "learning_rate": 1.8052836354275355e-05,
+ "loss": 0.0046471841633319855,
+ "mean_token_accuracy": 0.9985671877861023,
+ "num_tokens": 81973285.0,
+ "step": 3990
+ },
+ {
+ "entropy": 0.7512096881866455,
+ "epoch": 7.366482504604051,
+ "grad_norm": 0.4684146046638489,
+ "learning_rate": 1.7819164932248194e-05,
+ "loss": 0.0049116648733615875,
+ "mean_token_accuracy": 0.9983943462371826,
+ "num_tokens": 82178663.0,
+ "step": 4000
+ },
+ {
+ "entropy": 0.7514511585235596,
+ "epoch": 7.384898710865562,
+ "grad_norm": 0.571757435798645,
+ "learning_rate": 1.7586687314240296e-05,
+ "loss": 0.005085925757884979,
+ "mean_token_accuracy": 0.9984491765499115,
+ "num_tokens": 82384703.0,
+ "step": 4010
+ },
+ {
+ "entropy": 0.7534020125865937,
+ "epoch": 7.403314917127072,
+ "grad_norm": 0.3526608943939209,
+ "learning_rate": 1.7355412124412988e-05,
+ "loss": 0.004772019758820534,
+ "mean_token_accuracy": 0.9984830975532532,
+ "num_tokens": 82590547.0,
+ "step": 4020
+ },
+ {
+ "entropy": 0.7495484054088593,
+ "epoch": 7.421731123388582,
+ "grad_norm": 0.389273464679718,
+ "learning_rate": 1.7125347942321523e-05,
+ "loss": 0.004463380947709083,
+ "mean_token_accuracy": 0.9985935151576996,
+ "num_tokens": 82795801.0,
+ "step": 4030
+ },
+ {
+ "entropy": 0.7503954172134399,
+ "epoch": 7.440147329650092,
+ "grad_norm": 0.44278526306152344,
+ "learning_rate": 1.689650330259665e-05,
+ "loss": 0.004496005177497864,
+ "mean_token_accuracy": 0.9985817015171051,
+ "num_tokens": 83001332.0,
+ "step": 4040
+ },
+ {
+ "entropy": 0.7515525698661805,
+ "epoch": 7.458563535911602,
+ "grad_norm": 0.418070524930954,
+ "learning_rate": 1.666888669462809e-05,
+ "loss": 0.004161220416426659,
+ "mean_token_accuracy": 0.9988651812076569,
+ "num_tokens": 83206211.0,
+ "step": 4050
+ },
+ {
+ "entropy": 0.747660368680954,
+ "epoch": 7.476979742173112,
+ "grad_norm": 0.52656090259552,
+ "learning_rate": 1.6442506562249622e-05,
+ "loss": 0.0042838241904973985,
+ "mean_token_accuracy": 0.9985848963260651,
+ "num_tokens": 83411773.0,
+ "step": 4060
+ },
+ {
+ "entropy": 0.7506191194057464,
+ "epoch": 7.495395948434623,
+ "grad_norm": 0.29261597990989685,
+ "learning_rate": 1.621737130342578e-05,
+ "loss": 0.003957664594054222,
+ "mean_token_accuracy": 0.9986599206924438,
+ "num_tokens": 83617231.0,
+ "step": 4070
+ },
+ {
+ "entropy": 0.7549885094165802,
+ "epoch": 7.513812154696133,
+ "grad_norm": 0.35437923669815063,
+ "learning_rate": 1.599348926994036e-05,
+ "loss": 0.0034299422055482864,
+ "mean_token_accuracy": 0.9990102112293243,
+ "num_tokens": 83822893.0,
+ "step": 4080
+ },
+ {
+ "entropy": 0.7578713536262512,
+ "epoch": 7.532228360957642,
+ "grad_norm": 0.38587674498558044,
+ "learning_rate": 1.5770868767086567e-05,
+ "loss": 0.003320001810789108,
+ "mean_token_accuracy": 0.9990382492542267,
+ "num_tokens": 84028376.0,
+ "step": 4090
+ },
+ {
+ "entropy": 0.754696124792099,
+ "epoch": 7.550644567219153,
+ "grad_norm": 0.39879584312438965,
+ "learning_rate": 1.554951805335897e-05,
+ "loss": 0.004190019145607948,
+ "mean_token_accuracy": 0.9987861573696136,
+ "num_tokens": 84233768.0,
+ "step": 4100
+ },
+ {
+ "entropy": 0.7515742480754852,
+ "epoch": 7.569060773480663,
+ "grad_norm": 0.47624126076698303,
+ "learning_rate": 1.5329445340147096e-05,
+ "loss": 0.00403064489364624,
+ "mean_token_accuracy": 0.9986754775047302,
+ "num_tokens": 84439923.0,
+ "step": 4110
+ },
+ {
+ "entropy": 0.7527350902557373,
+ "epoch": 7.587476979742173,
+ "grad_norm": 0.4721614718437195,
+ "learning_rate": 1.5110658791430804e-05,
+ "loss": 0.004505171626806259,
+ "mean_token_accuracy": 0.9985378623008728,
+ "num_tokens": 84645432.0,
+ "step": 4120
+ },
+ {
+ "entropy": 0.747485089302063,
+ "epoch": 7.605893186003684,
+ "grad_norm": 0.49411219358444214,
+ "learning_rate": 1.4893166523477448e-05,
+ "loss": 0.0038516007363796232,
+ "mean_token_accuracy": 0.9987127304077148,
+ "num_tokens": 84850968.0,
+ "step": 4130
+ },
+ {
+ "entropy": 0.7463041722774506,
+ "epoch": 7.624309392265193,
+ "grad_norm": 0.4478297531604767,
+ "learning_rate": 1.4676976604540787e-05,
+ "loss": 0.00429936945438385,
+ "mean_token_accuracy": 0.9987892746925354,
+ "num_tokens": 85056363.0,
+ "step": 4140
+ },
+ {
+ "entropy": 0.7416360318660736,
+ "epoch": 7.642725598526703,
+ "grad_norm": 0.4913847744464874,
+ "learning_rate": 1.4462097054561675e-05,
+ "loss": 0.0036755587905645372,
+ "mean_token_accuracy": 0.9989015281200408,
+ "num_tokens": 85262252.0,
+ "step": 4150
+ },
+ {
+ "entropy": 0.7403277635574341,
+ "epoch": 7.661141804788214,
+ "grad_norm": 0.49693024158477783,
+ "learning_rate": 1.4248535844870586e-05,
+ "loss": 0.0037889480590820312,
+ "mean_token_accuracy": 0.99878990650177,
+ "num_tokens": 85468067.0,
+ "step": 4160
+ },
+ {
+ "entropy": 0.7400458335876465,
+ "epoch": 7.679558011049724,
+ "grad_norm": 0.4609115421772003,
+ "learning_rate": 1.4036300897891819e-05,
+ "loss": 0.004160438477993011,
+ "mean_token_accuracy": 0.9985541105270386,
+ "num_tokens": 85673442.0,
+ "step": 4170
+ },
+ {
+ "entropy": 0.7405486226081848,
+ "epoch": 7.697974217311234,
+ "grad_norm": 0.4713679254055023,
+ "learning_rate": 1.3825400086849693e-05,
+ "loss": 0.004131061211228371,
+ "mean_token_accuracy": 0.9986487686634063,
+ "num_tokens": 85878837.0,
+ "step": 4180
+ },
+ {
+ "entropy": 0.7426068425178528,
+ "epoch": 7.716390423572744,
+ "grad_norm": 0.36043041944503784,
+ "learning_rate": 1.3615841235476423e-05,
+ "loss": 0.004306273162364959,
+ "mean_token_accuracy": 0.9986724078655242,
+ "num_tokens": 86083884.0,
+ "step": 4190
+ },
+ {
+ "entropy": 0.7389791548252106,
+ "epoch": 7.734806629834254,
+ "grad_norm": 0.4564935863018036,
+ "learning_rate": 1.3407632117721858e-05,
+ "loss": 0.003909315168857575,
+ "mean_token_accuracy": 0.998731005191803,
+ "num_tokens": 86289698.0,
+ "step": 4200
+ },
+ {
+ "entropy": 0.7440706253051758,
+ "epoch": 7.753222836095764,
+ "grad_norm": 0.442862331867218,
+ "learning_rate": 1.3200780457465211e-05,
+ "loss": 0.0041195075958967205,
+ "mean_token_accuracy": 0.9987683832645416,
+ "num_tokens": 86494738.0,
+ "step": 4210
+ },
+ {
+ "entropy": 0.738617730140686,
+ "epoch": 7.7716390423572745,
+ "grad_norm": 0.4486972391605377,
+ "learning_rate": 1.2995293928228385e-05,
+ "loss": 0.003850420191884041,
+ "mean_token_accuracy": 0.998667311668396,
+ "num_tokens": 86700730.0,
+ "step": 4220
+ },
+ {
+ "entropy": 0.7406526923179626,
+ "epoch": 7.790055248618785,
+ "grad_norm": 0.5896158218383789,
+ "learning_rate": 1.2791180152891396e-05,
+ "loss": 0.004078804701566696,
+ "mean_token_accuracy": 0.9987831771373749,
+ "num_tokens": 86905871.0,
+ "step": 4230
+ },
+ {
+ "entropy": 0.7394271969795227,
+ "epoch": 7.808471454880294,
+ "grad_norm": 0.5551350116729736,
+ "learning_rate": 1.2588446703409552e-05,
+ "loss": 0.004226792231202125,
+ "mean_token_accuracy": 0.9985223591327668,
+ "num_tokens": 87111128.0,
+ "step": 4240
+ },
+ {
+ "entropy": 0.7396899223327636,
+ "epoch": 7.826887661141805,
+ "grad_norm": 0.48465287685394287,
+ "learning_rate": 1.23871011005326e-05,
+ "loss": 0.004565985128283501,
+ "mean_token_accuracy": 0.9984864890575409,
+ "num_tokens": 87316264.0,
+ "step": 4250
+ },
+ {
+ "entropy": 0.7409733414649964,
+ "epoch": 7.845303867403315,
+ "grad_norm": 0.44551214575767517,
+ "learning_rate": 1.218715081352571e-05,
+ "loss": 0.004014456272125244,
+ "mean_token_accuracy": 0.9988965094089508,
+ "num_tokens": 87521547.0,
+ "step": 4260
+ },
+ {
+ "entropy": 0.7397344529628753,
+ "epoch": 7.863720073664825,
+ "grad_norm": 0.5410996079444885,
+ "learning_rate": 1.198860325989235e-05,
+ "loss": 0.0038732051849365234,
+ "mean_token_accuracy": 0.9988058865070343,
+ "num_tokens": 87727075.0,
+ "step": 4270
+ },
+ {
+ "entropy": 0.7383821964263916,
+ "epoch": 7.8821362799263355,
+ "grad_norm": 0.3724612891674042,
+ "learning_rate": 1.1791465805099183e-05,
+ "loss": 0.0038180787116289137,
+ "mean_token_accuracy": 0.9988650500774383,
+ "num_tokens": 87932399.0,
+ "step": 4280
+ },
+ {
+ "entropy": 0.73704674243927,
+ "epoch": 7.900552486187845,
+ "grad_norm": 0.44809216260910034,
+ "learning_rate": 1.1595745762302779e-05,
+ "loss": 0.0037666790187358854,
+ "mean_token_accuracy": 0.9988551497459411,
+ "num_tokens": 88138197.0,
+ "step": 4290
+ },
+ {
+ "entropy": 0.7348978996276856,
+ "epoch": 7.918968692449355,
+ "grad_norm": 0.3487635850906372,
+ "learning_rate": 1.140145039207836e-05,
+ "loss": 0.0034891828894615174,
+ "mean_token_accuracy": 0.9990123450756073,
+ "num_tokens": 88343771.0,
+ "step": 4300
+ },
+ {
+ "entropy": 0.7349947333335877,
+ "epoch": 7.9373848987108655,
+ "grad_norm": 0.45597800612449646,
+ "learning_rate": 1.1208586902150458e-05,
+ "loss": 0.0037573061883449553,
+ "mean_token_accuracy": 0.9988206088542938,
+ "num_tokens": 88549078.0,
+ "step": 4310
+ },
+ {
+ "entropy": 0.7384503066539765,
+ "epoch": 7.955801104972376,
+ "grad_norm": 0.4761682450771332,
+ "learning_rate": 1.1017162447125484e-05,
+ "loss": 0.004058422148227691,
+ "mean_token_accuracy": 0.9988016963005066,
+ "num_tokens": 88754354.0,
+ "step": 4320
+ },
+ {
+ "entropy": 0.7428180873394012,
+ "epoch": 7.974217311233886,
+ "grad_norm": 0.4685237407684326,
+ "learning_rate": 1.0827184128226392e-05,
+ "loss": 0.003867045044898987,
+ "mean_token_accuracy": 0.998711907863617,
+ "num_tokens": 88959534.0,
+ "step": 4330
+ },
+ {
+ "entropy": 0.7457234025001526,
+ "epoch": 7.9926335174953955,
+ "grad_norm": 0.35596850514411926,
+ "learning_rate": 1.0638658993029154e-05,
+ "loss": 0.0037776529788970947,
+ "mean_token_accuracy": 0.9989305913448334,
+ "num_tokens": 89164857.0,
+ "step": 4340
+ },
+ {
+ "epoch": 8.0,
+ "eval_entropy": 0.7504938332930855,
+ "eval_loss": 0.08306439220905304,
+ "eval_mean_token_accuracy": 0.980349570253621,
+ "eval_num_tokens": 89247188.0,
+ "eval_runtime": 10.0529,
+ "eval_samples_per_second": 363.875,
+ "eval_steps_per_second": 11.439,
+ "step": 4344
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 4.2545465251510354e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-4344/training_args.bin b/checkpoint-4344/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-4344/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-4887/README.md b/checkpoint-4887/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-4887/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-4887/adapter_config.json b/checkpoint-4887/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-4887/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-4887/adapter_model.safetensors b/checkpoint-4887/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..fa6b3d5563d1dd4e0ea15ef2feb9aff353870675
--- /dev/null
+++ b/checkpoint-4887/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c269f0085f232e646c2122f94ff4b91b649dee880f799ec1eeab03dc06bc430
+size 80792096
diff --git a/checkpoint-4887/chat_template.jinja b/checkpoint-4887/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-4887/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-4887/tokenizer.json b/checkpoint-4887/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-4887/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-4887/tokenizer_config.json b/checkpoint-4887/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-4887/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-4887/trainer_state.json b/checkpoint-4887/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..df8f775e3d9dae711387688d9f3cb982431c848a
--- /dev/null
+++ b/checkpoint-4887/trainer_state.json
@@ -0,0 +1,5013 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 9.0,
+ "eval_steps": 500,
+ "global_step": 4887,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ },
+ {
+ "entropy": 0.9337226033210755,
+ "epoch": 3.001841620626151,
+ "grad_norm": 0.646203875541687,
+ "learning_rate": 8.387233236315016e-05,
+ "loss": 0.043352216482162476,
+ "mean_token_accuracy": 0.9830620110034942,
+ "num_tokens": 33488302.0,
+ "step": 1630
+ },
+ {
+ "entropy": 0.9734923839569092,
+ "epoch": 3.020257826887661,
+ "grad_norm": 0.7564226984977722,
+ "learning_rate": 8.364769739484416e-05,
+ "loss": 0.033932483196258544,
+ "mean_token_accuracy": 0.9872806966304779,
+ "num_tokens": 33693531.0,
+ "step": 1640
+ },
+ {
+ "entropy": 0.9669206500053406,
+ "epoch": 3.0386740331491713,
+ "grad_norm": 0.7126886248588562,
+ "learning_rate": 8.342181420671096e-05,
+ "loss": 0.03818287253379822,
+ "mean_token_accuracy": 0.9852082908153534,
+ "num_tokens": 33899305.0,
+ "step": 1650
+ },
+ {
+ "entropy": 0.9522916138172149,
+ "epoch": 3.0570902394106816,
+ "grad_norm": 1.0571653842926025,
+ "learning_rate": 8.319469117828007e-05,
+ "loss": 0.03456039130687714,
+ "mean_token_accuracy": 0.9867027878761292,
+ "num_tokens": 34104585.0,
+ "step": 1660
+ },
+ {
+ "entropy": 0.9568560004234314,
+ "epoch": 3.0755064456721914,
+ "grad_norm": 0.780940592288971,
+ "learning_rate": 8.296633673507505e-05,
+ "loss": 0.03551802039146423,
+ "mean_token_accuracy": 0.9867531359195709,
+ "num_tokens": 34309516.0,
+ "step": 1670
+ },
+ {
+ "entropy": 0.9590656876564025,
+ "epoch": 3.0939226519337018,
+ "grad_norm": 0.8330219388008118,
+ "learning_rate": 8.273675934830094e-05,
+ "loss": 0.03674865961074829,
+ "mean_token_accuracy": 0.9864118576049805,
+ "num_tokens": 34515170.0,
+ "step": 1680
+ },
+ {
+ "entropy": 0.975881814956665,
+ "epoch": 3.1123388581952116,
+ "grad_norm": 0.7010637521743774,
+ "learning_rate": 8.250596753453e-05,
+ "loss": 0.03550414443016052,
+ "mean_token_accuracy": 0.9864102602005005,
+ "num_tokens": 34720896.0,
+ "step": 1690
+ },
+ {
+ "entropy": 0.9599562883377075,
+ "epoch": 3.130755064456722,
+ "grad_norm": 0.6694278717041016,
+ "learning_rate": 8.227396985538578e-05,
+ "loss": 0.035564273595809937,
+ "mean_token_accuracy": 0.9867321848869324,
+ "num_tokens": 34925970.0,
+ "step": 1700
+ },
+ {
+ "entropy": 0.9582216143608093,
+ "epoch": 3.149171270718232,
+ "grad_norm": 0.9333199262619019,
+ "learning_rate": 8.204077491722546e-05,
+ "loss": 0.035575729608535764,
+ "mean_token_accuracy": 0.9862452208995819,
+ "num_tokens": 35131543.0,
+ "step": 1710
+ },
+ {
+ "entropy": 0.9579678058624268,
+ "epoch": 3.167587476979742,
+ "grad_norm": 0.9450218081474304,
+ "learning_rate": 8.180639137082066e-05,
+ "loss": 0.0385298490524292,
+ "mean_token_accuracy": 0.98538036942482,
+ "num_tokens": 35336790.0,
+ "step": 1720
+ },
+ {
+ "entropy": 0.9640831351280212,
+ "epoch": 3.1860036832412524,
+ "grad_norm": 0.8551534414291382,
+ "learning_rate": 8.157082791103649e-05,
+ "loss": 0.03702138364315033,
+ "mean_token_accuracy": 0.9852015495300293,
+ "num_tokens": 35542294.0,
+ "step": 1730
+ },
+ {
+ "entropy": 0.9867071211338043,
+ "epoch": 3.2044198895027622,
+ "grad_norm": 0.7138128876686096,
+ "learning_rate": 8.133409327650897e-05,
+ "loss": 0.035626694560050964,
+ "mean_token_accuracy": 0.986064875125885,
+ "num_tokens": 35747447.0,
+ "step": 1740
+ },
+ {
+ "entropy": 0.9639089345932007,
+ "epoch": 3.2228360957642725,
+ "grad_norm": 0.7131415009498596,
+ "learning_rate": 8.109619624932092e-05,
+ "loss": 0.035885071754455565,
+ "mean_token_accuracy": 0.986273056268692,
+ "num_tokens": 35952258.0,
+ "step": 1750
+ },
+ {
+ "entropy": 0.9516046345233917,
+ "epoch": 3.241252302025783,
+ "grad_norm": 0.6900200843811035,
+ "learning_rate": 8.085714565467611e-05,
+ "loss": 0.03535219430923462,
+ "mean_token_accuracy": 0.985836285352707,
+ "num_tokens": 36157938.0,
+ "step": 1760
+ },
+ {
+ "entropy": 0.9373646557331086,
+ "epoch": 3.2596685082872927,
+ "grad_norm": 0.6101690530776978,
+ "learning_rate": 8.061695036057191e-05,
+ "loss": 0.034940996766090394,
+ "mean_token_accuracy": 0.9863743901252746,
+ "num_tokens": 36363825.0,
+ "step": 1770
+ },
+ {
+ "entropy": 0.9444344758987426,
+ "epoch": 3.278084714548803,
+ "grad_norm": 0.7518529295921326,
+ "learning_rate": 8.03756192774703e-05,
+ "loss": 0.03404279053211212,
+ "mean_token_accuracy": 0.9866396844387054,
+ "num_tokens": 36568961.0,
+ "step": 1780
+ },
+ {
+ "entropy": 0.9550357758998871,
+ "epoch": 3.2965009208103133,
+ "grad_norm": 0.7687555551528931,
+ "learning_rate": 8.013316135796734e-05,
+ "loss": 0.038447052240371704,
+ "mean_token_accuracy": 0.985325163602829,
+ "num_tokens": 36774514.0,
+ "step": 1790
+ },
+ {
+ "entropy": 0.9477231681346894,
+ "epoch": 3.314917127071823,
+ "grad_norm": 0.7521633505821228,
+ "learning_rate": 7.988958559646102e-05,
+ "loss": 0.03746694028377533,
+ "mean_token_accuracy": 0.9853165090084076,
+ "num_tokens": 36979660.0,
+ "step": 1800
+ },
+ {
+ "entropy": 0.925805002450943,
+ "epoch": 3.3333333333333335,
+ "grad_norm": 0.9333297610282898,
+ "learning_rate": 7.964490102881768e-05,
+ "loss": 0.03700103759765625,
+ "mean_token_accuracy": 0.9850880861282348,
+ "num_tokens": 37185191.0,
+ "step": 1810
+ },
+ {
+ "entropy": 0.9225482225418091,
+ "epoch": 3.3517495395948433,
+ "grad_norm": 0.7928622961044312,
+ "learning_rate": 7.939911673203665e-05,
+ "loss": 0.03825801610946655,
+ "mean_token_accuracy": 0.9850241422653199,
+ "num_tokens": 37390749.0,
+ "step": 1820
+ },
+ {
+ "entropy": 0.9597147881984711,
+ "epoch": 3.3701657458563536,
+ "grad_norm": 0.7658583521842957,
+ "learning_rate": 7.915224182391375e-05,
+ "loss": 0.039855146408081056,
+ "mean_token_accuracy": 0.9845879554748536,
+ "num_tokens": 37596052.0,
+ "step": 1830
+ },
+ {
+ "entropy": 0.9485619068145752,
+ "epoch": 3.388581952117864,
+ "grad_norm": 0.8492130637168884,
+ "learning_rate": 7.890428546270278e-05,
+ "loss": 0.039359599351882935,
+ "mean_token_accuracy": 0.9847265422344208,
+ "num_tokens": 37802063.0,
+ "step": 1840
+ },
+ {
+ "entropy": 0.9670301914215088,
+ "epoch": 3.406998158379374,
+ "grad_norm": 0.7527599930763245,
+ "learning_rate": 7.865525684677608e-05,
+ "loss": 0.03752985596656799,
+ "mean_token_accuracy": 0.9855137526988983,
+ "num_tokens": 38007432.0,
+ "step": 1850
+ },
+ {
+ "entropy": 0.9681244969367981,
+ "epoch": 3.425414364640884,
+ "grad_norm": 0.7599612474441528,
+ "learning_rate": 7.840516521428303e-05,
+ "loss": 0.03653894364833832,
+ "mean_token_accuracy": 0.9858933389186859,
+ "num_tokens": 38212923.0,
+ "step": 1860
+ },
+ {
+ "entropy": 0.9706049561500549,
+ "epoch": 3.443830570902394,
+ "grad_norm": 0.7678127884864807,
+ "learning_rate": 7.815401984280748e-05,
+ "loss": 0.0366938978433609,
+ "mean_token_accuracy": 0.9854713797569274,
+ "num_tokens": 38418422.0,
+ "step": 1870
+ },
+ {
+ "entropy": 0.9637093842029572,
+ "epoch": 3.4622467771639043,
+ "grad_norm": 0.762824535369873,
+ "learning_rate": 7.790183004902359e-05,
+ "loss": 0.03516915142536163,
+ "mean_token_accuracy": 0.9866003453731537,
+ "num_tokens": 38624389.0,
+ "step": 1880
+ },
+ {
+ "entropy": 0.9373565018177032,
+ "epoch": 3.4806629834254146,
+ "grad_norm": 0.8221780061721802,
+ "learning_rate": 7.764860518835014e-05,
+ "loss": 0.04049026966094971,
+ "mean_token_accuracy": 0.984089481830597,
+ "num_tokens": 38829654.0,
+ "step": 1890
+ },
+ {
+ "entropy": 0.9356025457382202,
+ "epoch": 3.4990791896869244,
+ "grad_norm": 0.7583426237106323,
+ "learning_rate": 7.739435465460356e-05,
+ "loss": 0.03658481240272522,
+ "mean_token_accuracy": 0.9857318818569183,
+ "num_tokens": 39034638.0,
+ "step": 1900
+ },
+ {
+ "entropy": 0.9740163326263428,
+ "epoch": 3.5174953959484347,
+ "grad_norm": 0.7332878112792969,
+ "learning_rate": 7.713908787964937e-05,
+ "loss": 0.03508963882923126,
+ "mean_token_accuracy": 0.9863419532775879,
+ "num_tokens": 39240265.0,
+ "step": 1910
+ },
+ {
+ "entropy": 0.9528286933898926,
+ "epoch": 3.5359116022099446,
+ "grad_norm": 0.6515451669692993,
+ "learning_rate": 7.688281433305233e-05,
+ "loss": 0.036055779457092284,
+ "mean_token_accuracy": 0.9860979080200195,
+ "num_tokens": 39445546.0,
+ "step": 1920
+ },
+ {
+ "entropy": 0.9480705261230469,
+ "epoch": 3.554327808471455,
+ "grad_norm": 0.7725827097892761,
+ "learning_rate": 7.662554352172515e-05,
+ "loss": 0.037101513147354125,
+ "mean_token_accuracy": 0.985782790184021,
+ "num_tokens": 39651078.0,
+ "step": 1930
+ },
+ {
+ "entropy": 0.9655321061611175,
+ "epoch": 3.572744014732965,
+ "grad_norm": 0.7756506204605103,
+ "learning_rate": 7.636728498957581e-05,
+ "loss": 0.03721855878829956,
+ "mean_token_accuracy": 0.9857951939105988,
+ "num_tokens": 39856542.0,
+ "step": 1940
+ },
+ {
+ "entropy": 0.9772682309150695,
+ "epoch": 3.591160220994475,
+ "grad_norm": 0.9084987640380859,
+ "learning_rate": 7.610804831715355e-05,
+ "loss": 0.03570749163627625,
+ "mean_token_accuracy": 0.9863450109958649,
+ "num_tokens": 40061913.0,
+ "step": 1950
+ },
+ {
+ "entropy": 0.9579685389995575,
+ "epoch": 3.6095764272559854,
+ "grad_norm": 0.6358487606048584,
+ "learning_rate": 7.584784312129334e-05,
+ "loss": 0.038210684061050416,
+ "mean_token_accuracy": 0.9850837290287018,
+ "num_tokens": 40267398.0,
+ "step": 1960
+ },
+ {
+ "entropy": 0.9605201721191406,
+ "epoch": 3.6279926335174952,
+ "grad_norm": 0.6263149976730347,
+ "learning_rate": 7.558667905475927e-05,
+ "loss": 0.03509160876274109,
+ "mean_token_accuracy": 0.9868143379688263,
+ "num_tokens": 40472827.0,
+ "step": 1970
+ },
+ {
+ "entropy": 0.964026153087616,
+ "epoch": 3.6464088397790055,
+ "grad_norm": 0.90068119764328,
+ "learning_rate": 7.532456580588638e-05,
+ "loss": 0.036211782693862916,
+ "mean_token_accuracy": 0.9858468770980835,
+ "num_tokens": 40677935.0,
+ "step": 1980
+ },
+ {
+ "entropy": 0.9494135618209839,
+ "epoch": 3.664825046040516,
+ "grad_norm": 0.760134756565094,
+ "learning_rate": 7.50615130982213e-05,
+ "loss": 0.03786201477050781,
+ "mean_token_accuracy": 0.9852500438690186,
+ "num_tokens": 40883750.0,
+ "step": 1990
+ },
+ {
+ "entropy": 0.9527071297168732,
+ "epoch": 3.6832412523020257,
+ "grad_norm": 0.9812107682228088,
+ "learning_rate": 7.479753069016152e-05,
+ "loss": 0.03803159594535828,
+ "mean_token_accuracy": 0.9852405369281769,
+ "num_tokens": 41089115.0,
+ "step": 2000
+ },
+ {
+ "entropy": 0.9639330863952636,
+ "epoch": 3.701657458563536,
+ "grad_norm": 0.7164933681488037,
+ "learning_rate": 7.453262837459332e-05,
+ "loss": 0.03912568986415863,
+ "mean_token_accuracy": 0.9849458575248718,
+ "num_tokens": 41294694.0,
+ "step": 2010
+ },
+ {
+ "entropy": 0.9536987483501435,
+ "epoch": 3.720073664825046,
+ "grad_norm": 0.6804596185684204,
+ "learning_rate": 7.426681597852863e-05,
+ "loss": 0.036410006880760196,
+ "mean_token_accuracy": 0.985712206363678,
+ "num_tokens": 41499817.0,
+ "step": 2020
+ },
+ {
+ "entropy": 0.9478164672851562,
+ "epoch": 3.738489871086556,
+ "grad_norm": 0.8799397349357605,
+ "learning_rate": 7.400010336274037e-05,
+ "loss": 0.03801035583019256,
+ "mean_token_accuracy": 0.9850274682044983,
+ "num_tokens": 41704932.0,
+ "step": 2030
+ },
+ {
+ "entropy": 0.9383447647094727,
+ "epoch": 3.7569060773480665,
+ "grad_norm": 0.8386216163635254,
+ "learning_rate": 7.373250042139664e-05,
+ "loss": 0.0373637855052948,
+ "mean_token_accuracy": 0.9854822158813477,
+ "num_tokens": 41910804.0,
+ "step": 2040
+ },
+ {
+ "entropy": 0.925172996520996,
+ "epoch": 3.7753222836095763,
+ "grad_norm": 0.7599324584007263,
+ "learning_rate": 7.346401708169377e-05,
+ "loss": 0.03585260808467865,
+ "mean_token_accuracy": 0.9860672950744629,
+ "num_tokens": 42116706.0,
+ "step": 2050
+ },
+ {
+ "entropy": 0.9463765442371368,
+ "epoch": 3.7937384898710866,
+ "grad_norm": 0.9030149579048157,
+ "learning_rate": 7.319466330348797e-05,
+ "loss": 0.035877206921577455,
+ "mean_token_accuracy": 0.9863968968391419,
+ "num_tokens": 42322670.0,
+ "step": 2060
+ },
+ {
+ "entropy": 0.9942441761493683,
+ "epoch": 3.8121546961325965,
+ "grad_norm": 0.6400449275970459,
+ "learning_rate": 7.292444907892587e-05,
+ "loss": 0.037310433387756345,
+ "mean_token_accuracy": 0.9854151606559753,
+ "num_tokens": 42527752.0,
+ "step": 2070
+ },
+ {
+ "entropy": 0.9577703952789307,
+ "epoch": 3.830570902394107,
+ "grad_norm": 0.6193167567253113,
+ "learning_rate": 7.265338443207387e-05,
+ "loss": 0.03648848831653595,
+ "mean_token_accuracy": 0.9856530070304871,
+ "num_tokens": 42732981.0,
+ "step": 2080
+ },
+ {
+ "entropy": 0.9663952767848969,
+ "epoch": 3.848987108655617,
+ "grad_norm": 0.759611189365387,
+ "learning_rate": 7.238147941854625e-05,
+ "loss": 0.036112996935844424,
+ "mean_token_accuracy": 0.9862765550613404,
+ "num_tokens": 42938619.0,
+ "step": 2090
+ },
+ {
+ "entropy": 0.9484863519668579,
+ "epoch": 3.867403314917127,
+ "grad_norm": 0.7420705556869507,
+ "learning_rate": 7.210874412513218e-05,
+ "loss": 0.03703283965587616,
+ "mean_token_accuracy": 0.9857317566871643,
+ "num_tokens": 43143753.0,
+ "step": 2100
+ },
+ {
+ "entropy": 0.964326673746109,
+ "epoch": 3.8858195211786373,
+ "grad_norm": 0.8779639601707458,
+ "learning_rate": 7.183518866942147e-05,
+ "loss": 0.03739701807498932,
+ "mean_token_accuracy": 0.9852154791355133,
+ "num_tokens": 43349451.0,
+ "step": 2110
+ },
+ {
+ "entropy": 0.9729791641235351,
+ "epoch": 3.904235727440147,
+ "grad_norm": 0.7582741379737854,
+ "learning_rate": 7.156082319942929e-05,
+ "loss": 0.03894525766372681,
+ "mean_token_accuracy": 0.9847454309463501,
+ "num_tokens": 43554598.0,
+ "step": 2120
+ },
+ {
+ "entropy": 0.9860592544078827,
+ "epoch": 3.9226519337016574,
+ "grad_norm": 0.860698938369751,
+ "learning_rate": 7.128565789321969e-05,
+ "loss": 0.0365300178527832,
+ "mean_token_accuracy": 0.9859121859073638,
+ "num_tokens": 43760081.0,
+ "step": 2130
+ },
+ {
+ "entropy": 0.9916551172733307,
+ "epoch": 3.9410681399631677,
+ "grad_norm": 0.8363776206970215,
+ "learning_rate": 7.100970295852805e-05,
+ "loss": 0.036221379041671754,
+ "mean_token_accuracy": 0.9859034180641174,
+ "num_tokens": 43965432.0,
+ "step": 2140
+ },
+ {
+ "entropy": 0.9553558886051178,
+ "epoch": 3.9594843462246776,
+ "grad_norm": 0.9627474546432495,
+ "learning_rate": 7.073296863238242e-05,
+ "loss": 0.03684481382369995,
+ "mean_token_accuracy": 0.9857315957546234,
+ "num_tokens": 44171232.0,
+ "step": 2150
+ },
+ {
+ "entropy": 0.9538035809993743,
+ "epoch": 3.977900552486188,
+ "grad_norm": 0.8399474620819092,
+ "learning_rate": 7.045546518072366e-05,
+ "loss": 0.03825397789478302,
+ "mean_token_accuracy": 0.9846831560134888,
+ "num_tokens": 44376723.0,
+ "step": 2160
+ },
+ {
+ "entropy": 0.9476235210895538,
+ "epoch": 3.9963167587476978,
+ "grad_norm": 0.708739697933197,
+ "learning_rate": 7.017720289802472e-05,
+ "loss": 0.03618018329143524,
+ "mean_token_accuracy": 0.9861325800418854,
+ "num_tokens": 44582407.0,
+ "step": 2170
+ },
+ {
+ "epoch": 4.0,
+ "eval_entropy": 0.9569619194321011,
+ "eval_loss": 0.059838198125362396,
+ "eval_mean_token_accuracy": 0.9777795366618944,
+ "eval_num_tokens": 44623647.0,
+ "eval_runtime": 10.0379,
+ "eval_samples_per_second": 364.42,
+ "eval_steps_per_second": 11.457,
+ "step": 2172
+ },
+ {
+ "entropy": 0.9558675646781921,
+ "epoch": 4.014732965009208,
+ "grad_norm": 0.7347508668899536,
+ "learning_rate": 6.989819210690872e-05,
+ "loss": 0.02886659502983093,
+ "mean_token_accuracy": 0.9892994821071625,
+ "num_tokens": 44788219.0,
+ "step": 2180
+ },
+ {
+ "entropy": 1.0037677466869355,
+ "epoch": 4.033149171270718,
+ "grad_norm": 0.7403206825256348,
+ "learning_rate": 6.961844315776596e-05,
+ "loss": 0.02395295798778534,
+ "mean_token_accuracy": 0.9906026899814606,
+ "num_tokens": 44993505.0,
+ "step": 2190
+ },
+ {
+ "entropy": 1.0068290829658508,
+ "epoch": 4.051565377532229,
+ "grad_norm": 0.7979726195335388,
+ "learning_rate": 6.933796642837003e-05,
+ "loss": 0.02605988085269928,
+ "mean_token_accuracy": 0.9899706900119781,
+ "num_tokens": 45199193.0,
+ "step": 2200
+ },
+ {
+ "entropy": 0.9942211747169495,
+ "epoch": 4.069981583793738,
+ "grad_norm": 0.6460402011871338,
+ "learning_rate": 6.905677232349278e-05,
+ "loss": 0.025350230932235717,
+ "mean_token_accuracy": 0.9899386286735534,
+ "num_tokens": 45404030.0,
+ "step": 2210
+ },
+ {
+ "entropy": 0.9783595442771912,
+ "epoch": 4.088397790055248,
+ "grad_norm": 0.8177055716514587,
+ "learning_rate": 6.877487127451834e-05,
+ "loss": 0.02696993052959442,
+ "mean_token_accuracy": 0.9896106541156768,
+ "num_tokens": 45609763.0,
+ "step": 2220
+ },
+ {
+ "entropy": 0.9801763832569123,
+ "epoch": 4.106813996316759,
+ "grad_norm": 0.6608165502548218,
+ "learning_rate": 6.849227373905618e-05,
+ "loss": 0.025101393461227417,
+ "mean_token_accuracy": 0.9904372334480286,
+ "num_tokens": 45814941.0,
+ "step": 2230
+ },
+ {
+ "entropy": 0.9695689737796783,
+ "epoch": 4.125230202578269,
+ "grad_norm": 0.8036547899246216,
+ "learning_rate": 6.820899020055314e-05,
+ "loss": 0.027827343344688414,
+ "mean_token_accuracy": 0.9890337705612182,
+ "num_tokens": 46020535.0,
+ "step": 2240
+ },
+ {
+ "entropy": 0.9828635334968567,
+ "epoch": 4.143646408839779,
+ "grad_norm": 0.7729921936988831,
+ "learning_rate": 6.792503116790455e-05,
+ "loss": 0.02779492735862732,
+ "mean_token_accuracy": 0.9894372522830963,
+ "num_tokens": 46226013.0,
+ "step": 2250
+ },
+ {
+ "entropy": 0.9978842556476593,
+ "epoch": 4.162062615101289,
+ "grad_norm": 0.7334664463996887,
+ "learning_rate": 6.764040717506432e-05,
+ "loss": 0.025673511624336242,
+ "mean_token_accuracy": 0.9899355113506317,
+ "num_tokens": 46432087.0,
+ "step": 2260
+ },
+ {
+ "entropy": 1.0116403937339782,
+ "epoch": 4.180478821362799,
+ "grad_norm": 0.6769368052482605,
+ "learning_rate": 6.735512878065427e-05,
+ "loss": 0.024705511331558228,
+ "mean_token_accuracy": 0.9906128525733948,
+ "num_tokens": 46637478.0,
+ "step": 2270
+ },
+ {
+ "entropy": 0.9985016226768494,
+ "epoch": 4.198895027624309,
+ "grad_norm": 0.8301573991775513,
+ "learning_rate": 6.706920656757234e-05,
+ "loss": 0.02455987185239792,
+ "mean_token_accuracy": 0.9905728340148926,
+ "num_tokens": 46842562.0,
+ "step": 2280
+ },
+ {
+ "entropy": 0.9909430682659149,
+ "epoch": 4.21731123388582,
+ "grad_norm": 0.656026303768158,
+ "learning_rate": 6.67826511426001e-05,
+ "loss": 0.022711564600467683,
+ "mean_token_accuracy": 0.9910893619060517,
+ "num_tokens": 47048071.0,
+ "step": 2290
+ },
+ {
+ "entropy": 0.9868666052818298,
+ "epoch": 4.23572744014733,
+ "grad_norm": 0.7614991068840027,
+ "learning_rate": 6.649547313600916e-05,
+ "loss": 0.02453812211751938,
+ "mean_token_accuracy": 0.9908901154994965,
+ "num_tokens": 47253507.0,
+ "step": 2300
+ },
+ {
+ "entropy": 0.9870487153530121,
+ "epoch": 4.25414364640884,
+ "grad_norm": 0.7617276906967163,
+ "learning_rate": 6.62076832011669e-05,
+ "loss": 0.025818097591400146,
+ "mean_token_accuracy": 0.990347957611084,
+ "num_tokens": 47458747.0,
+ "step": 2310
+ },
+ {
+ "entropy": 0.9691080570220947,
+ "epoch": 4.27255985267035,
+ "grad_norm": 0.6743029952049255,
+ "learning_rate": 6.591929201414124e-05,
+ "loss": 0.02456912100315094,
+ "mean_token_accuracy": 0.9905289709568024,
+ "num_tokens": 47663643.0,
+ "step": 2320
+ },
+ {
+ "entropy": 0.9701108932495117,
+ "epoch": 4.29097605893186,
+ "grad_norm": 0.6964483261108398,
+ "learning_rate": 6.56303102733046e-05,
+ "loss": 0.02575681209564209,
+ "mean_token_accuracy": 0.9898503363132477,
+ "num_tokens": 47868982.0,
+ "step": 2330
+ },
+ {
+ "entropy": 0.969528192281723,
+ "epoch": 4.30939226519337,
+ "grad_norm": 0.7521987557411194,
+ "learning_rate": 6.5340748698937e-05,
+ "loss": 0.02678089737892151,
+ "mean_token_accuracy": 0.9898572087287902,
+ "num_tokens": 48074314.0,
+ "step": 2340
+ },
+ {
+ "entropy": 0.9921871721744537,
+ "epoch": 4.327808471454881,
+ "grad_norm": 0.6944513320922852,
+ "learning_rate": 6.505061803282844e-05,
+ "loss": 0.025553321838378905,
+ "mean_token_accuracy": 0.9907529592514038,
+ "num_tokens": 48279731.0,
+ "step": 2350
+ },
+ {
+ "entropy": 0.9768964886665344,
+ "epoch": 4.346224677716391,
+ "grad_norm": 0.6553092002868652,
+ "learning_rate": 6.47599290378803e-05,
+ "loss": 0.0250235915184021,
+ "mean_token_accuracy": 0.9904054701328278,
+ "num_tokens": 48485401.0,
+ "step": 2360
+ },
+ {
+ "entropy": 0.9612838506698609,
+ "epoch": 4.3646408839779,
+ "grad_norm": 0.916820228099823,
+ "learning_rate": 6.446869249770619e-05,
+ "loss": 0.028156182169914244,
+ "mean_token_accuracy": 0.9888657331466675,
+ "num_tokens": 48691047.0,
+ "step": 2370
+ },
+ {
+ "entropy": 0.9665832936763763,
+ "epoch": 4.383057090239411,
+ "grad_norm": 0.9197776913642883,
+ "learning_rate": 6.417691921623185e-05,
+ "loss": 0.025303921103477477,
+ "mean_token_accuracy": 0.989986252784729,
+ "num_tokens": 48896234.0,
+ "step": 2380
+ },
+ {
+ "entropy": 0.9686589121818543,
+ "epoch": 4.401473296500921,
+ "grad_norm": 0.8505764603614807,
+ "learning_rate": 6.388462001729434e-05,
+ "loss": 0.024816396832466125,
+ "mean_token_accuracy": 0.9909265041351318,
+ "num_tokens": 49101893.0,
+ "step": 2390
+ },
+ {
+ "entropy": 0.9625210344791413,
+ "epoch": 4.419889502762431,
+ "grad_norm": 1.0601766109466553,
+ "learning_rate": 6.359180574424062e-05,
+ "loss": 0.02706078290939331,
+ "mean_token_accuracy": 0.9895522117614746,
+ "num_tokens": 49307467.0,
+ "step": 2400
+ },
+ {
+ "entropy": 0.9679551541805267,
+ "epoch": 4.4383057090239415,
+ "grad_norm": 0.776253879070282,
+ "learning_rate": 6.329848725952514e-05,
+ "loss": 0.02693203091621399,
+ "mean_token_accuracy": 0.9893981635570526,
+ "num_tokens": 49513020.0,
+ "step": 2410
+ },
+ {
+ "entropy": 0.9704959928989411,
+ "epoch": 4.456721915285451,
+ "grad_norm": 0.5459668636322021,
+ "learning_rate": 6.3004675444307e-05,
+ "loss": 0.0279473751783371,
+ "mean_token_accuracy": 0.9894329369068146,
+ "num_tokens": 49718405.0,
+ "step": 2420
+ },
+ {
+ "entropy": 0.961863350868225,
+ "epoch": 4.475138121546961,
+ "grad_norm": 0.9338833093643188,
+ "learning_rate": 6.27103811980462e-05,
+ "loss": 0.026478803157806395,
+ "mean_token_accuracy": 0.9902269721031189,
+ "num_tokens": 49923375.0,
+ "step": 2430
+ },
+ {
+ "entropy": 0.9708506822586059,
+ "epoch": 4.4935543278084715,
+ "grad_norm": 0.9073707461357117,
+ "learning_rate": 6.241561543809947e-05,
+ "loss": 0.025289520621299744,
+ "mean_token_accuracy": 0.9904769957065582,
+ "num_tokens": 50128901.0,
+ "step": 2440
+ },
+ {
+ "entropy": 0.984996622800827,
+ "epoch": 4.511970534069982,
+ "grad_norm": 0.8674206733703613,
+ "learning_rate": 6.212038909931503e-05,
+ "loss": 0.026442551612854005,
+ "mean_token_accuracy": 0.9905101835727692,
+ "num_tokens": 50334449.0,
+ "step": 2450
+ },
+ {
+ "entropy": 0.9926377475261688,
+ "epoch": 4.530386740331492,
+ "grad_norm": 0.7571811079978943,
+ "learning_rate": 6.182471313362717e-05,
+ "loss": 0.026819539070129395,
+ "mean_token_accuracy": 0.9898989200592041,
+ "num_tokens": 50539597.0,
+ "step": 2460
+ },
+ {
+ "entropy": 0.9450563549995422,
+ "epoch": 4.5488029465930016,
+ "grad_norm": 0.6651087403297424,
+ "learning_rate": 6.15285985096498e-05,
+ "loss": 0.02665227949619293,
+ "mean_token_accuracy": 0.9897156655788422,
+ "num_tokens": 50744926.0,
+ "step": 2470
+ },
+ {
+ "entropy": 0.9715635657310486,
+ "epoch": 4.567219152854512,
+ "grad_norm": 0.7445545196533203,
+ "learning_rate": 6.12320562122697e-05,
+ "loss": 0.026212453842163086,
+ "mean_token_accuracy": 0.9904700636863708,
+ "num_tokens": 50950152.0,
+ "step": 2480
+ },
+ {
+ "entropy": 0.9613442063331604,
+ "epoch": 4.585635359116022,
+ "grad_norm": 0.7168459296226501,
+ "learning_rate": 6.0935097242238837e-05,
+ "loss": 0.02508128583431244,
+ "mean_token_accuracy": 0.9901923894882202,
+ "num_tokens": 51155430.0,
+ "step": 2490
+ },
+ {
+ "entropy": 0.9571944534778595,
+ "epoch": 4.6040515653775325,
+ "grad_norm": 0.7590732574462891,
+ "learning_rate": 6.063773261576646e-05,
+ "loss": 0.025445500016212465,
+ "mean_token_accuracy": 0.9902949810028077,
+ "num_tokens": 51360826.0,
+ "step": 2500
+ },
+ {
+ "entropy": 0.947079461812973,
+ "epoch": 4.622467771639043,
+ "grad_norm": 0.6942175030708313,
+ "learning_rate": 6.033997336411035e-05,
+ "loss": 0.026132801175117494,
+ "mean_token_accuracy": 0.9900939345359803,
+ "num_tokens": 51566095.0,
+ "step": 2510
+ },
+ {
+ "entropy": 0.970003741979599,
+ "epoch": 4.640883977900552,
+ "grad_norm": 0.6562672257423401,
+ "learning_rate": 6.00418305331675e-05,
+ "loss": 0.024759869277477264,
+ "mean_token_accuracy": 0.9905019223690033,
+ "num_tokens": 51771177.0,
+ "step": 2520
+ },
+ {
+ "entropy": 0.9715348601341247,
+ "epoch": 4.6593001841620625,
+ "grad_norm": 0.6151639819145203,
+ "learning_rate": 5.9743315183064564e-05,
+ "loss": 0.024138522148132325,
+ "mean_token_accuracy": 0.9910101473331452,
+ "num_tokens": 51976349.0,
+ "step": 2530
+ },
+ {
+ "entropy": 0.9552160143852234,
+ "epoch": 4.677716390423573,
+ "grad_norm": 0.968815267086029,
+ "learning_rate": 5.9444438387747336e-05,
+ "loss": 0.027274739742279053,
+ "mean_token_accuracy": 0.9896075248718261,
+ "num_tokens": 52181820.0,
+ "step": 2540
+ },
+ {
+ "entropy": 0.9265012145042419,
+ "epoch": 4.696132596685083,
+ "grad_norm": 0.8966720700263977,
+ "learning_rate": 5.914521123457015e-05,
+ "loss": 0.0291823148727417,
+ "mean_token_accuracy": 0.9886700630187988,
+ "num_tokens": 52387511.0,
+ "step": 2550
+ },
+ {
+ "entropy": 0.9156096875667572,
+ "epoch": 4.714548802946593,
+ "grad_norm": 0.7747519612312317,
+ "learning_rate": 5.88456448238844e-05,
+ "loss": 0.02809179127216339,
+ "mean_token_accuracy": 0.9891100466251374,
+ "num_tokens": 52592737.0,
+ "step": 2560
+ },
+ {
+ "entropy": 0.924511456489563,
+ "epoch": 4.732965009208103,
+ "grad_norm": 1.0087049007415771,
+ "learning_rate": 5.8545750268626844e-05,
+ "loss": 0.02683232128620148,
+ "mean_token_accuracy": 0.9896528899669648,
+ "num_tokens": 52798814.0,
+ "step": 2570
+ },
+ {
+ "entropy": 0.9662951111793519,
+ "epoch": 4.751381215469613,
+ "grad_norm": 0.7709590792655945,
+ "learning_rate": 5.824553869390734e-05,
+ "loss": 0.02503817081451416,
+ "mean_token_accuracy": 0.9900161385536194,
+ "num_tokens": 53004478.0,
+ "step": 2580
+ },
+ {
+ "entropy": 0.9889141619205475,
+ "epoch": 4.769797421731123,
+ "grad_norm": 0.815858006477356,
+ "learning_rate": 5.794502123659613e-05,
+ "loss": 0.026327347755432128,
+ "mean_token_accuracy": 0.9900785744190216,
+ "num_tokens": 53209888.0,
+ "step": 2590
+ },
+ {
+ "entropy": 0.9785685896873474,
+ "epoch": 4.788213627992634,
+ "grad_norm": 0.6514431238174438,
+ "learning_rate": 5.7644209044910735e-05,
+ "loss": 0.025033789873123168,
+ "mean_token_accuracy": 0.9902650475502014,
+ "num_tokens": 53415533.0,
+ "step": 2600
+ },
+ {
+ "entropy": 0.9723869919776916,
+ "epoch": 4.806629834254144,
+ "grad_norm": 0.8778963685035706,
+ "learning_rate": 5.7343113278002284e-05,
+ "loss": 0.02379843294620514,
+ "mean_token_accuracy": 0.9909472465515137,
+ "num_tokens": 53620850.0,
+ "step": 2610
+ },
+ {
+ "entropy": 0.9572711050510406,
+ "epoch": 4.8250460405156534,
+ "grad_norm": 0.8927134871482849,
+ "learning_rate": 5.70417451055417e-05,
+ "loss": 0.024856947362422943,
+ "mean_token_accuracy": 0.9904125213623047,
+ "num_tokens": 53826259.0,
+ "step": 2620
+ },
+ {
+ "entropy": 0.9523135125637054,
+ "epoch": 4.843462246777164,
+ "grad_norm": 0.6832691431045532,
+ "learning_rate": 5.674011570730523e-05,
+ "loss": 0.025352203845977785,
+ "mean_token_accuracy": 0.990432596206665,
+ "num_tokens": 54031531.0,
+ "step": 2630
+ },
+ {
+ "entropy": 0.9735220730304718,
+ "epoch": 4.861878453038674,
+ "grad_norm": 0.6399164795875549,
+ "learning_rate": 5.643823627275972e-05,
+ "loss": 0.026541513204574586,
+ "mean_token_accuracy": 0.9900369107723236,
+ "num_tokens": 54237155.0,
+ "step": 2640
+ },
+ {
+ "entropy": 0.9566517114639282,
+ "epoch": 4.880294659300184,
+ "grad_norm": 0.8725414276123047,
+ "learning_rate": 5.6136118000647616e-05,
+ "loss": 0.02675778865814209,
+ "mean_token_accuracy": 0.9894899427890778,
+ "num_tokens": 54442739.0,
+ "step": 2650
+ },
+ {
+ "entropy": 0.9447909593582153,
+ "epoch": 4.898710865561695,
+ "grad_norm": 0.8169302344322205,
+ "learning_rate": 5.583377209857138e-05,
+ "loss": 0.02642086148262024,
+ "mean_token_accuracy": 0.989885401725769,
+ "num_tokens": 54648098.0,
+ "step": 2660
+ },
+ {
+ "entropy": 0.9180052697658538,
+ "epoch": 4.917127071823204,
+ "grad_norm": 0.7768753170967102,
+ "learning_rate": 5.553120978257787e-05,
+ "loss": 0.02552323341369629,
+ "mean_token_accuracy": 0.9899512350559234,
+ "num_tokens": 54854281.0,
+ "step": 2670
+ },
+ {
+ "entropy": 0.917166668176651,
+ "epoch": 4.935543278084714,
+ "grad_norm": 0.8241410851478577,
+ "learning_rate": 5.5228442276742153e-05,
+ "loss": 0.02788199484348297,
+ "mean_token_accuracy": 0.989625746011734,
+ "num_tokens": 55059495.0,
+ "step": 2680
+ },
+ {
+ "entropy": 0.9345465302467346,
+ "epoch": 4.953959484346225,
+ "grad_norm": 0.7645496129989624,
+ "learning_rate": 5.4925480812751166e-05,
+ "loss": 0.02517639398574829,
+ "mean_token_accuracy": 0.9902283847332001,
+ "num_tokens": 55265381.0,
+ "step": 2690
+ },
+ {
+ "entropy": 0.9386432528495788,
+ "epoch": 4.972375690607735,
+ "grad_norm": 0.8371859192848206,
+ "learning_rate": 5.46223366294871e-05,
+ "loss": 0.025585666298866272,
+ "mean_token_accuracy": 0.9903791427612305,
+ "num_tokens": 55471210.0,
+ "step": 2700
+ },
+ {
+ "entropy": 0.9267561137676239,
+ "epoch": 4.990791896869245,
+ "grad_norm": 0.6789297461509705,
+ "learning_rate": 5.43190209726104e-05,
+ "loss": 0.024646708369255067,
+ "mean_token_accuracy": 0.9904700815677643,
+ "num_tokens": 55676877.0,
+ "step": 2710
+ },
+ {
+ "epoch": 5.0,
+ "eval_entropy": 0.9283919717954553,
+ "eval_loss": 0.06225527077913284,
+ "eval_mean_token_accuracy": 0.9784110421719758,
+ "eval_num_tokens": 55779559.0,
+ "eval_runtime": 10.0613,
+ "eval_samples_per_second": 363.573,
+ "eval_steps_per_second": 11.43,
+ "step": 2715
+ },
+ {
+ "entropy": 0.9269404351711273,
+ "epoch": 5.009208103130755,
+ "grad_norm": 0.540570080280304,
+ "learning_rate": 5.401554509414264e-05,
+ "loss": 0.019513805210590363,
+ "mean_token_accuracy": 0.9927033007144928,
+ "num_tokens": 55882241.0,
+ "step": 2720
+ },
+ {
+ "entropy": 0.9377441763877868,
+ "epoch": 5.027624309392265,
+ "grad_norm": 0.5840998888015747,
+ "learning_rate": 5.3711920252049085e-05,
+ "loss": 0.015180909633636474,
+ "mean_token_accuracy": 0.9944471418857574,
+ "num_tokens": 56087470.0,
+ "step": 2730
+ },
+ {
+ "entropy": 0.949122017621994,
+ "epoch": 5.046040515653775,
+ "grad_norm": 0.6938672065734863,
+ "learning_rate": 5.340815770982106e-05,
+ "loss": 0.0153742715716362,
+ "mean_token_accuracy": 0.9941534519195556,
+ "num_tokens": 56292226.0,
+ "step": 2740
+ },
+ {
+ "entropy": 0.9394402146339417,
+ "epoch": 5.064456721915286,
+ "grad_norm": 0.8259939551353455,
+ "learning_rate": 5.310426873605814e-05,
+ "loss": 0.014350908994674682,
+ "mean_token_accuracy": 0.9945570707321167,
+ "num_tokens": 56497839.0,
+ "step": 2750
+ },
+ {
+ "entropy": 0.9323545396327972,
+ "epoch": 5.082872928176796,
+ "grad_norm": 0.9675024747848511,
+ "learning_rate": 5.280026460405005e-05,
+ "loss": 0.016550135612487794,
+ "mean_token_accuracy": 0.9938908398151398,
+ "num_tokens": 56702932.0,
+ "step": 2760
+ },
+ {
+ "entropy": 0.89125554561615,
+ "epoch": 5.101289134438305,
+ "grad_norm": 0.8347184658050537,
+ "learning_rate": 5.2496156591358566e-05,
+ "loss": 0.017917826771736145,
+ "mean_token_accuracy": 0.9934309899806977,
+ "num_tokens": 56908644.0,
+ "step": 2770
+ },
+ {
+ "entropy": 0.8773505449295044,
+ "epoch": 5.119705340699816,
+ "grad_norm": 0.8869524598121643,
+ "learning_rate": 5.219195597939908e-05,
+ "loss": 0.017221055924892426,
+ "mean_token_accuracy": 0.993448656797409,
+ "num_tokens": 57114171.0,
+ "step": 2780
+ },
+ {
+ "entropy": 0.8874686002731323,
+ "epoch": 5.138121546961326,
+ "grad_norm": 1.0294251441955566,
+ "learning_rate": 5.1887674053022084e-05,
+ "loss": 0.018111808598041533,
+ "mean_token_accuracy": 0.9931293666362763,
+ "num_tokens": 57319158.0,
+ "step": 2790
+ },
+ {
+ "entropy": 0.8893351197242737,
+ "epoch": 5.156537753222836,
+ "grad_norm": 0.6253597736358643,
+ "learning_rate": 5.15833221000946e-05,
+ "loss": 0.017256538569927215,
+ "mean_token_accuracy": 0.9936724424362182,
+ "num_tokens": 57524901.0,
+ "step": 2800
+ },
+ {
+ "entropy": 0.9157109141349793,
+ "epoch": 5.1749539594843466,
+ "grad_norm": 0.6379142999649048,
+ "learning_rate": 5.12789114110814e-05,
+ "loss": 0.016415870189666747,
+ "mean_token_accuracy": 0.9939744889736175,
+ "num_tokens": 57730135.0,
+ "step": 2810
+ },
+ {
+ "entropy": 0.9157932877540589,
+ "epoch": 5.193370165745856,
+ "grad_norm": 0.7195688486099243,
+ "learning_rate": 5.097445327862619e-05,
+ "loss": 0.01577536463737488,
+ "mean_token_accuracy": 0.9941773355007172,
+ "num_tokens": 57936210.0,
+ "step": 2820
+ },
+ {
+ "entropy": 0.9179767727851867,
+ "epoch": 5.211786372007366,
+ "grad_norm": 0.7149335741996765,
+ "learning_rate": 5.066995899713264e-05,
+ "loss": 0.01606254279613495,
+ "mean_token_accuracy": 0.9937664806842804,
+ "num_tokens": 58141736.0,
+ "step": 2830
+ },
+ {
+ "entropy": 0.895512479543686,
+ "epoch": 5.230202578268877,
+ "grad_norm": 0.6460169553756714,
+ "learning_rate": 5.036543986234543e-05,
+ "loss": 0.01605578660964966,
+ "mean_token_accuracy": 0.994063013792038,
+ "num_tokens": 58347178.0,
+ "step": 2840
+ },
+ {
+ "entropy": 0.8883109211921691,
+ "epoch": 5.248618784530387,
+ "grad_norm": 0.72477787733078,
+ "learning_rate": 5.006090717093128e-05,
+ "loss": 0.016773784160614015,
+ "mean_token_accuracy": 0.9940340936183929,
+ "num_tokens": 58552952.0,
+ "step": 2850
+ },
+ {
+ "entropy": 0.8942575633525849,
+ "epoch": 5.267034990791897,
+ "grad_norm": 0.7344926595687866,
+ "learning_rate": 4.9756372220059736e-05,
+ "loss": 0.01604126989841461,
+ "mean_token_accuracy": 0.994256991147995,
+ "num_tokens": 58758449.0,
+ "step": 2860
+ },
+ {
+ "entropy": 0.8854099690914154,
+ "epoch": 5.285451197053407,
+ "grad_norm": 0.6142122149467468,
+ "learning_rate": 4.9451846306984214e-05,
+ "loss": 0.016244474053382873,
+ "mean_token_accuracy": 0.9938375532627106,
+ "num_tokens": 58963691.0,
+ "step": 2870
+ },
+ {
+ "entropy": 0.8745675146579742,
+ "epoch": 5.303867403314917,
+ "grad_norm": 0.8025366067886353,
+ "learning_rate": 4.9147340728622816e-05,
+ "loss": 0.01611460596323013,
+ "mean_token_accuracy": 0.9941173672676087,
+ "num_tokens": 59169484.0,
+ "step": 2880
+ },
+ {
+ "entropy": 0.8812389194965362,
+ "epoch": 5.322283609576427,
+ "grad_norm": 0.7699193358421326,
+ "learning_rate": 4.884286678113935e-05,
+ "loss": 0.016995206475257874,
+ "mean_token_accuracy": 0.9937523245811463,
+ "num_tokens": 59374627.0,
+ "step": 2890
+ },
+ {
+ "entropy": 0.8924362242221833,
+ "epoch": 5.3406998158379375,
+ "grad_norm": 0.7516226172447205,
+ "learning_rate": 4.853843575952414e-05,
+ "loss": 0.01652217358350754,
+ "mean_token_accuracy": 0.9936819314956665,
+ "num_tokens": 59580135.0,
+ "step": 2900
+ },
+ {
+ "entropy": 0.8972602427005768,
+ "epoch": 5.359116022099448,
+ "grad_norm": 0.7781681418418884,
+ "learning_rate": 4.823405895717521e-05,
+ "loss": 0.017360319197177888,
+ "mean_token_accuracy": 0.9935634732246399,
+ "num_tokens": 59785392.0,
+ "step": 2910
+ },
+ {
+ "entropy": 0.900998342037201,
+ "epoch": 5.377532228360957,
+ "grad_norm": 0.6837047934532166,
+ "learning_rate": 4.792974766547911e-05,
+ "loss": 0.017162233591079712,
+ "mean_token_accuracy": 0.993264091014862,
+ "num_tokens": 59991448.0,
+ "step": 2920
+ },
+ {
+ "entropy": 0.9239763855934143,
+ "epoch": 5.3959484346224675,
+ "grad_norm": 0.7188259363174438,
+ "learning_rate": 4.762551317339226e-05,
+ "loss": 0.01718595027923584,
+ "mean_token_accuracy": 0.9933857440948486,
+ "num_tokens": 60197079.0,
+ "step": 2930
+ },
+ {
+ "entropy": 0.9056789398193359,
+ "epoch": 5.414364640883978,
+ "grad_norm": 0.6922260522842407,
+ "learning_rate": 4.732136676702198e-05,
+ "loss": 0.016596907377243043,
+ "mean_token_accuracy": 0.9937462329864502,
+ "num_tokens": 60402299.0,
+ "step": 2940
+ },
+ {
+ "entropy": 0.9038522362709045,
+ "epoch": 5.432780847145488,
+ "grad_norm": 0.7937009930610657,
+ "learning_rate": 4.7017319729207954e-05,
+ "loss": 0.016130413115024566,
+ "mean_token_accuracy": 0.9941940546035767,
+ "num_tokens": 60607907.0,
+ "step": 2950
+ },
+ {
+ "entropy": 0.8911147236824035,
+ "epoch": 5.4511970534069984,
+ "grad_norm": 0.6261171698570251,
+ "learning_rate": 4.671338333910359e-05,
+ "loss": 0.01622493863105774,
+ "mean_token_accuracy": 0.9937945663928985,
+ "num_tokens": 60813428.0,
+ "step": 2960
+ },
+ {
+ "entropy": 0.8894322276115417,
+ "epoch": 5.469613259668508,
+ "grad_norm": 0.6898378729820251,
+ "learning_rate": 4.6409568871757645e-05,
+ "loss": 0.016513559222221374,
+ "mean_token_accuracy": 0.9936174690723419,
+ "num_tokens": 61018404.0,
+ "step": 2970
+ },
+ {
+ "entropy": 0.9026601016521454,
+ "epoch": 5.488029465930018,
+ "grad_norm": 0.7027897834777832,
+ "learning_rate": 4.610588759769593e-05,
+ "loss": 0.016727012395858765,
+ "mean_token_accuracy": 0.9941417872905731,
+ "num_tokens": 61223660.0,
+ "step": 2980
+ },
+ {
+ "entropy": 0.8903301954269409,
+ "epoch": 5.5064456721915285,
+ "grad_norm": 0.9087063074111938,
+ "learning_rate": 4.5802350782503196e-05,
+ "loss": 0.016929233074188234,
+ "mean_token_accuracy": 0.9935264468193055,
+ "num_tokens": 61429438.0,
+ "step": 2990
+ },
+ {
+ "entropy": 0.8886692762374878,
+ "epoch": 5.524861878453039,
+ "grad_norm": 0.8283822536468506,
+ "learning_rate": 4.5498969686405266e-05,
+ "loss": 0.015396638214588166,
+ "mean_token_accuracy": 0.99433131814003,
+ "num_tokens": 61635274.0,
+ "step": 3000
+ },
+ {
+ "entropy": 0.8902086555957794,
+ "epoch": 5.543278084714549,
+ "grad_norm": 0.7676647305488586,
+ "learning_rate": 4.5195755563851336e-05,
+ "loss": 0.01673731654882431,
+ "mean_token_accuracy": 0.9938134133815766,
+ "num_tokens": 61840778.0,
+ "step": 3010
+ },
+ {
+ "entropy": 0.8941606819629669,
+ "epoch": 5.5616942909760585,
+ "grad_norm": 0.7026392221450806,
+ "learning_rate": 4.489271966309634e-05,
+ "loss": 0.01694796681404114,
+ "mean_token_accuracy": 0.9936233103275299,
+ "num_tokens": 62046355.0,
+ "step": 3020
+ },
+ {
+ "entropy": 0.90918750166893,
+ "epoch": 5.580110497237569,
+ "grad_norm": 0.7146924734115601,
+ "learning_rate": 4.4589873225783806e-05,
+ "loss": 0.01852080672979355,
+ "mean_token_accuracy": 0.9928994178771973,
+ "num_tokens": 62251709.0,
+ "step": 3030
+ },
+ {
+ "entropy": 0.8946544349193573,
+ "epoch": 5.598526703499079,
+ "grad_norm": 0.607246458530426,
+ "learning_rate": 4.428722748652881e-05,
+ "loss": 0.016636812686920167,
+ "mean_token_accuracy": 0.9939334273338318,
+ "num_tokens": 62456680.0,
+ "step": 3040
+ },
+ {
+ "entropy": 0.8854653835296631,
+ "epoch": 5.616942909760589,
+ "grad_norm": 0.7457882165908813,
+ "learning_rate": 4.3984793672501124e-05,
+ "loss": 0.016008296608924867,
+ "mean_token_accuracy": 0.9940589666366577,
+ "num_tokens": 62662038.0,
+ "step": 3050
+ },
+ {
+ "entropy": 0.8921085000038147,
+ "epoch": 5.6353591160221,
+ "grad_norm": 0.7707350254058838,
+ "learning_rate": 4.368258300300888e-05,
+ "loss": 0.016655120253562927,
+ "mean_token_accuracy": 0.993935889005661,
+ "num_tokens": 62867272.0,
+ "step": 3060
+ },
+ {
+ "entropy": 0.8768653869628906,
+ "epoch": 5.653775322283609,
+ "grad_norm": 0.6994554996490479,
+ "learning_rate": 4.3380606689082166e-05,
+ "loss": 0.015841150283813478,
+ "mean_token_accuracy": 0.9944550096988678,
+ "num_tokens": 63072403.0,
+ "step": 3070
+ },
+ {
+ "entropy": 0.8767679035663605,
+ "epoch": 5.672191528545119,
+ "grad_norm": 0.8327192068099976,
+ "learning_rate": 4.307887593305733e-05,
+ "loss": 0.015826576948165895,
+ "mean_token_accuracy": 0.9941202461719513,
+ "num_tokens": 63277635.0,
+ "step": 3080
+ },
+ {
+ "entropy": 0.8763292253017425,
+ "epoch": 5.69060773480663,
+ "grad_norm": 0.7224747538566589,
+ "learning_rate": 4.277740192816127e-05,
+ "loss": 0.015298140048980714,
+ "mean_token_accuracy": 0.9943080008029938,
+ "num_tokens": 63483196.0,
+ "step": 3090
+ },
+ {
+ "entropy": 0.8834661841392517,
+ "epoch": 5.70902394106814,
+ "grad_norm": 0.9508277773857117,
+ "learning_rate": 4.247619585809627e-05,
+ "loss": 0.01658404469490051,
+ "mean_token_accuracy": 0.9934300124645233,
+ "num_tokens": 63688721.0,
+ "step": 3100
+ },
+ {
+ "entropy": 0.899389523267746,
+ "epoch": 5.72744014732965,
+ "grad_norm": 0.7170981168746948,
+ "learning_rate": 4.217526889662512e-05,
+ "loss": 0.015803813934326172,
+ "mean_token_accuracy": 0.9940325975418091,
+ "num_tokens": 63894220.0,
+ "step": 3110
+ },
+ {
+ "entropy": 0.8968011736869812,
+ "epoch": 5.74585635359116,
+ "grad_norm": 0.6686251163482666,
+ "learning_rate": 4.187463220715659e-05,
+ "loss": 0.015874400734901428,
+ "mean_token_accuracy": 0.9940970957279205,
+ "num_tokens": 64099768.0,
+ "step": 3120
+ },
+ {
+ "entropy": 0.8900792479515076,
+ "epoch": 5.76427255985267,
+ "grad_norm": 0.5979828238487244,
+ "learning_rate": 4.157429694233128e-05,
+ "loss": 0.01613767147064209,
+ "mean_token_accuracy": 0.9942961037158966,
+ "num_tokens": 64305055.0,
+ "step": 3130
+ },
+ {
+ "entropy": 0.8899810135364532,
+ "epoch": 5.78268876611418,
+ "grad_norm": 0.7330048084259033,
+ "learning_rate": 4.127427424360794e-05,
+ "loss": 0.016168563067913054,
+ "mean_token_accuracy": 0.9941077649593353,
+ "num_tokens": 64510002.0,
+ "step": 3140
+ },
+ {
+ "entropy": 0.8805335581302642,
+ "epoch": 5.801104972375691,
+ "grad_norm": 0.5978623032569885,
+ "learning_rate": 4.09745752408501e-05,
+ "loss": 0.01524556577205658,
+ "mean_token_accuracy": 0.994326776266098,
+ "num_tokens": 64715431.0,
+ "step": 3150
+ },
+ {
+ "entropy": 0.878781646490097,
+ "epoch": 5.819521178637201,
+ "grad_norm": 0.6749313473701477,
+ "learning_rate": 4.067521105191331e-05,
+ "loss": 0.015209287405014038,
+ "mean_token_accuracy": 0.9942974805831909,
+ "num_tokens": 64921579.0,
+ "step": 3160
+ },
+ {
+ "entropy": 0.8844729900360108,
+ "epoch": 5.83793738489871,
+ "grad_norm": 0.6887196898460388,
+ "learning_rate": 4.037619278223255e-05,
+ "loss": 0.01619938760995865,
+ "mean_token_accuracy": 0.9937683045864105,
+ "num_tokens": 65127007.0,
+ "step": 3170
+ },
+ {
+ "entropy": 0.8780498623847961,
+ "epoch": 5.856353591160221,
+ "grad_norm": 0.6962174773216248,
+ "learning_rate": 4.0077531524410304e-05,
+ "loss": 0.015934592485427855,
+ "mean_token_accuracy": 0.9935103774070739,
+ "num_tokens": 65332418.0,
+ "step": 3180
+ },
+ {
+ "entropy": 0.8889612555503845,
+ "epoch": 5.874769797421731,
+ "grad_norm": 0.6049854159355164,
+ "learning_rate": 3.977923835780517e-05,
+ "loss": 0.01600206792354584,
+ "mean_token_accuracy": 0.9937360048294067,
+ "num_tokens": 65537845.0,
+ "step": 3190
+ },
+ {
+ "entropy": 0.8960810244083405,
+ "epoch": 5.893186003683241,
+ "grad_norm": 0.6341013312339783,
+ "learning_rate": 3.948132434812065e-05,
+ "loss": 0.0143389493227005,
+ "mean_token_accuracy": 0.9948007702827454,
+ "num_tokens": 65743412.0,
+ "step": 3200
+ },
+ {
+ "entropy": 0.887304550409317,
+ "epoch": 5.911602209944752,
+ "grad_norm": 0.7564852237701416,
+ "learning_rate": 3.9183800546994886e-05,
+ "loss": 0.016044440865516662,
+ "mean_token_accuracy": 0.9939335525035858,
+ "num_tokens": 65948884.0,
+ "step": 3210
+ },
+ {
+ "entropy": 0.8823239862918854,
+ "epoch": 5.930018416206261,
+ "grad_norm": 0.6525556445121765,
+ "learning_rate": 3.8886677991590435e-05,
+ "loss": 0.016112390160560607,
+ "mean_token_accuracy": 0.9938134670257568,
+ "num_tokens": 66153768.0,
+ "step": 3220
+ },
+ {
+ "entropy": 0.8712829887866974,
+ "epoch": 5.948434622467771,
+ "grad_norm": 0.676167368888855,
+ "learning_rate": 3.858996770418504e-05,
+ "loss": 0.015146306157112122,
+ "mean_token_accuracy": 0.9944733619689942,
+ "num_tokens": 66359661.0,
+ "step": 3230
+ },
+ {
+ "entropy": 0.8734102070331573,
+ "epoch": 5.966850828729282,
+ "grad_norm": 0.6284340023994446,
+ "learning_rate": 3.829368069176257e-05,
+ "loss": 0.017269474267959595,
+ "mean_token_accuracy": 0.9938443183898926,
+ "num_tokens": 66565228.0,
+ "step": 3240
+ },
+ {
+ "entropy": 0.8757335782051087,
+ "epoch": 5.985267034990792,
+ "grad_norm": 0.722522497177124,
+ "learning_rate": 3.799782794560484e-05,
+ "loss": 0.015032704174518585,
+ "mean_token_accuracy": 0.9942249894142151,
+ "num_tokens": 66770718.0,
+ "step": 3250
+ },
+ {
+ "epoch": 6.0,
+ "eval_entropy": 0.8780099873957427,
+ "eval_loss": 0.06740746647119522,
+ "eval_mean_token_accuracy": 0.9795082377350849,
+ "eval_num_tokens": 66935435.0,
+ "eval_runtime": 10.0955,
+ "eval_samples_per_second": 362.34,
+ "eval_steps_per_second": 11.391,
+ "step": 3258
+ },
+ {
+ "entropy": 0.8773481965065002,
+ "epoch": 6.003683241252302,
+ "grad_norm": 0.49184396862983704,
+ "learning_rate": 3.770242044088375e-05,
+ "loss": 0.013721099495887757,
+ "mean_token_accuracy": 0.9951768457889557,
+ "num_tokens": 66976478.0,
+ "step": 3260
+ },
+ {
+ "entropy": 0.8643155217170715,
+ "epoch": 6.0220994475138125,
+ "grad_norm": 0.4903622567653656,
+ "learning_rate": 3.7407469136254234e-05,
+ "loss": 0.009165047109127045,
+ "mean_token_accuracy": 0.9969388306140899,
+ "num_tokens": 67182251.0,
+ "step": 3270
+ },
+ {
+ "entropy": 0.8560326337814331,
+ "epoch": 6.040515653775322,
+ "grad_norm": 0.6360073685646057,
+ "learning_rate": 3.711298497344766e-05,
+ "loss": 0.010200753808021545,
+ "mean_token_accuracy": 0.9964211463928223,
+ "num_tokens": 67387493.0,
+ "step": 3280
+ },
+ {
+ "entropy": 0.8391405165195465,
+ "epoch": 6.058931860036832,
+ "grad_norm": 0.519554853439331,
+ "learning_rate": 3.6818978876865984e-05,
+ "loss": 0.008906974643468856,
+ "mean_token_accuracy": 0.9966452360153198,
+ "num_tokens": 67593314.0,
+ "step": 3290
+ },
+ {
+ "entropy": 0.8300552070140839,
+ "epoch": 6.077348066298343,
+ "grad_norm": 0.5294632911682129,
+ "learning_rate": 3.6525461753176426e-05,
+ "loss": 0.008088209480047227,
+ "mean_token_accuracy": 0.9971098065376282,
+ "num_tokens": 67798634.0,
+ "step": 3300
+ },
+ {
+ "entropy": 0.822588461637497,
+ "epoch": 6.095764272559853,
+ "grad_norm": 0.46423637866973877,
+ "learning_rate": 3.623244449090697e-05,
+ "loss": 0.008058926463127137,
+ "mean_token_accuracy": 0.9970856845378876,
+ "num_tokens": 68003683.0,
+ "step": 3310
+ },
+ {
+ "entropy": 0.8130167067050934,
+ "epoch": 6.114180478821363,
+ "grad_norm": 0.497258722782135,
+ "learning_rate": 3.5939937960042314e-05,
+ "loss": 0.008712668716907502,
+ "mean_token_accuracy": 0.996820193529129,
+ "num_tokens": 68208795.0,
+ "step": 3320
+ },
+ {
+ "entropy": 0.8035802125930787,
+ "epoch": 6.132596685082873,
+ "grad_norm": 0.43152952194213867,
+ "learning_rate": 3.5647953011620716e-05,
+ "loss": 0.008366625010967254,
+ "mean_token_accuracy": 0.9969616234302521,
+ "num_tokens": 68414414.0,
+ "step": 3330
+ },
+ {
+ "entropy": 0.8028200149536133,
+ "epoch": 6.151012891344383,
+ "grad_norm": 0.6057612299919128,
+ "learning_rate": 3.535650047733141e-05,
+ "loss": 0.00967741459608078,
+ "mean_token_accuracy": 0.9963694036006927,
+ "num_tokens": 68619806.0,
+ "step": 3340
+ },
+ {
+ "entropy": 0.7982640087604522,
+ "epoch": 6.169429097605893,
+ "grad_norm": 0.4966030716896057,
+ "learning_rate": 3.5065591169112785e-05,
+ "loss": 0.00934397652745247,
+ "mean_token_accuracy": 0.9969527781009674,
+ "num_tokens": 68825254.0,
+ "step": 3350
+ },
+ {
+ "entropy": 0.7859498977661132,
+ "epoch": 6.1878453038674035,
+ "grad_norm": 0.6962474584579468,
+ "learning_rate": 3.477523587875139e-05,
+ "loss": 0.010414297878742217,
+ "mean_token_accuracy": 0.996203750371933,
+ "num_tokens": 69031043.0,
+ "step": 3360
+ },
+ {
+ "entropy": 0.7869667530059814,
+ "epoch": 6.206261510128914,
+ "grad_norm": 0.6078894734382629,
+ "learning_rate": 3.448544537748143e-05,
+ "loss": 0.008547455072402954,
+ "mean_token_accuracy": 0.9968406975269317,
+ "num_tokens": 69236559.0,
+ "step": 3370
+ },
+ {
+ "entropy": 0.8036401033401489,
+ "epoch": 6.224677716390423,
+ "grad_norm": 0.5990306735038757,
+ "learning_rate": 3.4196230415585337e-05,
+ "loss": 0.00924447700381279,
+ "mean_token_accuracy": 0.9967190623283386,
+ "num_tokens": 69441764.0,
+ "step": 3380
+ },
+ {
+ "entropy": 0.8085561394691467,
+ "epoch": 6.2430939226519335,
+ "grad_norm": 0.46029484272003174,
+ "learning_rate": 3.390760172199486e-05,
+ "loss": 0.008379801362752914,
+ "mean_token_accuracy": 0.9970395743846894,
+ "num_tokens": 69647075.0,
+ "step": 3390
+ },
+ {
+ "entropy": 0.8132422208786011,
+ "epoch": 6.261510128913444,
+ "grad_norm": 0.5699496865272522,
+ "learning_rate": 3.361957000389315e-05,
+ "loss": 0.009426499903202056,
+ "mean_token_accuracy": 0.996586662530899,
+ "num_tokens": 69852809.0,
+ "step": 3400
+ },
+ {
+ "entropy": 0.8065890491008758,
+ "epoch": 6.279926335174954,
+ "grad_norm": 0.6212234497070312,
+ "learning_rate": 3.33321459463175e-05,
+ "loss": 0.009811153262853622,
+ "mean_token_accuracy": 0.9965905249118805,
+ "num_tokens": 70057955.0,
+ "step": 3410
+ },
+ {
+ "entropy": 0.7904254853725433,
+ "epoch": 6.298342541436464,
+ "grad_norm": 0.8000790476799011,
+ "learning_rate": 3.304534021176299e-05,
+ "loss": 0.00957801640033722,
+ "mean_token_accuracy": 0.9964518308639526,
+ "num_tokens": 70263517.0,
+ "step": 3420
+ },
+ {
+ "entropy": 0.7971100151538849,
+ "epoch": 6.316758747697974,
+ "grad_norm": 0.6359512209892273,
+ "learning_rate": 3.275916343978689e-05,
+ "loss": 0.009681916236877442,
+ "mean_token_accuracy": 0.9967545390129089,
+ "num_tokens": 70468400.0,
+ "step": 3430
+ },
+ {
+ "entropy": 0.7987187504768372,
+ "epoch": 6.335174953959484,
+ "grad_norm": 0.5094901919364929,
+ "learning_rate": 3.247362624661406e-05,
+ "loss": 0.009966370463371278,
+ "mean_token_accuracy": 0.9964035987854004,
+ "num_tokens": 70673648.0,
+ "step": 3440
+ },
+ {
+ "entropy": 0.7850228011608124,
+ "epoch": 6.3535911602209945,
+ "grad_norm": 0.5554385185241699,
+ "learning_rate": 3.218873922474303e-05,
+ "loss": 0.009521079063415528,
+ "mean_token_accuracy": 0.9966651916503906,
+ "num_tokens": 70879452.0,
+ "step": 3450
+ },
+ {
+ "entropy": 0.7885844230651855,
+ "epoch": 6.372007366482505,
+ "grad_norm": 0.5217951536178589,
+ "learning_rate": 3.190451294255314e-05,
+ "loss": 0.00949474424123764,
+ "mean_token_accuracy": 0.9966598808765411,
+ "num_tokens": 71085217.0,
+ "step": 3460
+ },
+ {
+ "entropy": 0.797072297334671,
+ "epoch": 6.390423572744015,
+ "grad_norm": 0.5385560393333435,
+ "learning_rate": 3.162095794391241e-05,
+ "loss": 0.009810312837362289,
+ "mean_token_accuracy": 0.9965846955776214,
+ "num_tokens": 71290955.0,
+ "step": 3470
+ },
+ {
+ "entropy": 0.8024774849414825,
+ "epoch": 6.4088397790055245,
+ "grad_norm": 0.5419294238090515,
+ "learning_rate": 3.1338084747786456e-05,
+ "loss": 0.009127366542816161,
+ "mean_token_accuracy": 0.9968222141265869,
+ "num_tokens": 71496654.0,
+ "step": 3480
+ },
+ {
+ "entropy": 0.8082470417022705,
+ "epoch": 6.427255985267035,
+ "grad_norm": 0.7315362095832825,
+ "learning_rate": 3.105590384784821e-05,
+ "loss": 0.008642691373825073,
+ "mean_token_accuracy": 0.9970867097377777,
+ "num_tokens": 71701725.0,
+ "step": 3490
+ },
+ {
+ "entropy": 0.804630172252655,
+ "epoch": 6.445672191528545,
+ "grad_norm": 0.6668549180030823,
+ "learning_rate": 3.0774425712088676e-05,
+ "loss": 0.008679335564374923,
+ "mean_token_accuracy": 0.9969714701175689,
+ "num_tokens": 71907003.0,
+ "step": 3500
+ },
+ {
+ "entropy": 0.7939219176769257,
+ "epoch": 6.464088397790055,
+ "grad_norm": 0.8388434648513794,
+ "learning_rate": 3.049366078242864e-05,
+ "loss": 0.009249264001846313,
+ "mean_token_accuracy": 0.99674671292305,
+ "num_tokens": 72112532.0,
+ "step": 3510
+ },
+ {
+ "entropy": 0.78477823138237,
+ "epoch": 6.482504604051566,
+ "grad_norm": 0.4963231682777405,
+ "learning_rate": 3.021361947433125e-05,
+ "loss": 0.009192919731140137,
+ "mean_token_accuracy": 0.9965968191623688,
+ "num_tokens": 72318518.0,
+ "step": 3520
+ },
+ {
+ "entropy": 0.7841647148132325,
+ "epoch": 6.500920810313076,
+ "grad_norm": 0.5681823492050171,
+ "learning_rate": 2.9934312176415636e-05,
+ "loss": 0.008821797370910645,
+ "mean_token_accuracy": 0.9968703150749206,
+ "num_tokens": 72524548.0,
+ "step": 3530
+ },
+ {
+ "entropy": 0.7848304688930512,
+ "epoch": 6.519337016574585,
+ "grad_norm": 0.7126080393791199,
+ "learning_rate": 2.965574925007154e-05,
+ "loss": 0.009742744266986847,
+ "mean_token_accuracy": 0.9964317202568054,
+ "num_tokens": 72729659.0,
+ "step": 3540
+ },
+ {
+ "entropy": 0.7899512410163879,
+ "epoch": 6.537753222836096,
+ "grad_norm": 0.7015056014060974,
+ "learning_rate": 2.9377941029074986e-05,
+ "loss": 0.008977667987346649,
+ "mean_token_accuracy": 0.9968570172786713,
+ "num_tokens": 72934865.0,
+ "step": 3550
+ },
+ {
+ "entropy": 0.797937935590744,
+ "epoch": 6.556169429097606,
+ "grad_norm": 0.700501024723053,
+ "learning_rate": 2.910089781920486e-05,
+ "loss": 0.00973074734210968,
+ "mean_token_accuracy": 0.996515303850174,
+ "num_tokens": 73139684.0,
+ "step": 3560
+ },
+ {
+ "entropy": 0.7993333518505097,
+ "epoch": 6.574585635359116,
+ "grad_norm": 0.44471475481987,
+ "learning_rate": 2.882462989786061e-05,
+ "loss": 0.008206719905138016,
+ "mean_token_accuracy": 0.9968972980976105,
+ "num_tokens": 73345547.0,
+ "step": 3570
+ },
+ {
+ "entropy": 0.7961922466754914,
+ "epoch": 6.593001841620627,
+ "grad_norm": 0.5011329054832458,
+ "learning_rate": 2.854914751368109e-05,
+ "loss": 0.009073075652122498,
+ "mean_token_accuracy": 0.9968676805496216,
+ "num_tokens": 73550822.0,
+ "step": 3580
+ },
+ {
+ "entropy": 0.8064342319965363,
+ "epoch": 6.611418047882136,
+ "grad_norm": 0.6375740766525269,
+ "learning_rate": 2.82744608861642e-05,
+ "loss": 0.009309899061918259,
+ "mean_token_accuracy": 0.9967096745967865,
+ "num_tokens": 73756564.0,
+ "step": 3590
+ },
+ {
+ "entropy": 0.8025432348251342,
+ "epoch": 6.629834254143646,
+ "grad_norm": 0.8449372053146362,
+ "learning_rate": 2.8000580205287874e-05,
+ "loss": 0.009333166480064391,
+ "mean_token_accuracy": 0.9967890501022338,
+ "num_tokens": 73961849.0,
+ "step": 3600
+ },
+ {
+ "entropy": 0.8010810256004334,
+ "epoch": 6.648250460405157,
+ "grad_norm": 0.9473148584365845,
+ "learning_rate": 2.772751563113213e-05,
+ "loss": 0.00938543900847435,
+ "mean_token_accuracy": 0.996571558713913,
+ "num_tokens": 74167074.0,
+ "step": 3610
+ },
+ {
+ "entropy": 0.7954266011714936,
+ "epoch": 6.666666666666667,
+ "grad_norm": 0.4197849631309509,
+ "learning_rate": 2.7455277293502007e-05,
+ "loss": 0.008846811950206757,
+ "mean_token_accuracy": 0.9970432996749878,
+ "num_tokens": 74372119.0,
+ "step": 3620
+ },
+ {
+ "entropy": 0.7859483778476715,
+ "epoch": 6.685082872928177,
+ "grad_norm": 0.5353069305419922,
+ "learning_rate": 2.7183875291551892e-05,
+ "loss": 0.008807064592838287,
+ "mean_token_accuracy": 0.9969651758670807,
+ "num_tokens": 74577516.0,
+ "step": 3630
+ },
+ {
+ "entropy": 0.7940182387828827,
+ "epoch": 6.703499079189687,
+ "grad_norm": 0.5789965391159058,
+ "learning_rate": 2.6913319693410828e-05,
+ "loss": 0.008173662424087524,
+ "mean_token_accuracy": 0.9970715939998627,
+ "num_tokens": 74783031.0,
+ "step": 3640
+ },
+ {
+ "entropy": 0.7871349632740021,
+ "epoch": 6.721915285451197,
+ "grad_norm": 0.5887596011161804,
+ "learning_rate": 2.6643620535809076e-05,
+ "loss": 0.008517104387283325,
+ "mean_token_accuracy": 0.9969267845153809,
+ "num_tokens": 74988646.0,
+ "step": 3650
+ },
+ {
+ "entropy": 0.783170485496521,
+ "epoch": 6.740331491712707,
+ "grad_norm": 0.6228395104408264,
+ "learning_rate": 2.637478782370574e-05,
+ "loss": 0.008941689878702164,
+ "mean_token_accuracy": 0.9967794418334961,
+ "num_tokens": 75193938.0,
+ "step": 3660
+ },
+ {
+ "entropy": 0.7779926240444184,
+ "epoch": 6.758747697974218,
+ "grad_norm": 0.7367292642593384,
+ "learning_rate": 2.61068315299176e-05,
+ "loss": 0.009662539511919022,
+ "mean_token_accuracy": 0.9965554535388946,
+ "num_tokens": 75399816.0,
+ "step": 3670
+ },
+ {
+ "entropy": 0.7756146490573883,
+ "epoch": 6.777163904235728,
+ "grad_norm": 0.7478228807449341,
+ "learning_rate": 2.5839761594749167e-05,
+ "loss": 0.008691602945327758,
+ "mean_token_accuracy": 0.996806287765503,
+ "num_tokens": 75605531.0,
+ "step": 3680
+ },
+ {
+ "entropy": 0.7793804049491883,
+ "epoch": 6.795580110497237,
+ "grad_norm": 0.580205500125885,
+ "learning_rate": 2.5573587925623964e-05,
+ "loss": 0.00922732800245285,
+ "mean_token_accuracy": 0.9966219186782836,
+ "num_tokens": 75811143.0,
+ "step": 3690
+ },
+ {
+ "entropy": 0.7817609786987305,
+ "epoch": 6.813996316758748,
+ "grad_norm": 0.3849862813949585,
+ "learning_rate": 2.530832039671694e-05,
+ "loss": 0.00812167227268219,
+ "mean_token_accuracy": 0.9970280706882477,
+ "num_tokens": 76016366.0,
+ "step": 3700
+ },
+ {
+ "entropy": 0.7793294489383698,
+ "epoch": 6.832412523020258,
+ "grad_norm": 0.4873282313346863,
+ "learning_rate": 2.504396884858825e-05,
+ "loss": 0.008183138072490692,
+ "mean_token_accuracy": 0.9973145961761475,
+ "num_tokens": 76221692.0,
+ "step": 3710
+ },
+ {
+ "entropy": 0.7805068492889404,
+ "epoch": 6.850828729281768,
+ "grad_norm": 0.6652786135673523,
+ "learning_rate": 2.478054308781807e-05,
+ "loss": 0.009141853451728821,
+ "mean_token_accuracy": 0.9968416154384613,
+ "num_tokens": 76427170.0,
+ "step": 3720
+ },
+ {
+ "entropy": 0.7799863159656525,
+ "epoch": 6.8692449355432785,
+ "grad_norm": 0.5895428657531738,
+ "learning_rate": 2.451805288664298e-05,
+ "loss": 0.009343943744897842,
+ "mean_token_accuracy": 0.9968909084796905,
+ "num_tokens": 76632450.0,
+ "step": 3730
+ },
+ {
+ "entropy": 0.7819362223148346,
+ "epoch": 6.887661141804788,
+ "grad_norm": 0.6007734537124634,
+ "learning_rate": 2.425650798259327e-05,
+ "loss": 0.008081933856010437,
+ "mean_token_accuracy": 0.9972956955432892,
+ "num_tokens": 76837993.0,
+ "step": 3740
+ },
+ {
+ "entropy": 0.7859819054603576,
+ "epoch": 6.906077348066298,
+ "grad_norm": 0.5510725975036621,
+ "learning_rate": 2.39959180781318e-05,
+ "loss": 0.008848348259925842,
+ "mean_token_accuracy": 0.9968287885189057,
+ "num_tokens": 77043697.0,
+ "step": 3750
+ },
+ {
+ "entropy": 0.7813855290412903,
+ "epoch": 6.9244935543278086,
+ "grad_norm": 0.5004434585571289,
+ "learning_rate": 2.3736292840294122e-05,
+ "loss": 0.00795777291059494,
+ "mean_token_accuracy": 0.9973017990589141,
+ "num_tokens": 77248720.0,
+ "step": 3760
+ },
+ {
+ "entropy": 0.774254196882248,
+ "epoch": 6.942909760589319,
+ "grad_norm": 0.7068622708320618,
+ "learning_rate": 2.347764190032974e-05,
+ "loss": 0.007790238410234451,
+ "mean_token_accuracy": 0.997188663482666,
+ "num_tokens": 77454096.0,
+ "step": 3770
+ },
+ {
+ "entropy": 0.7675817251205445,
+ "epoch": 6.961325966850829,
+ "grad_norm": 0.5110977292060852,
+ "learning_rate": 2.3219974853344905e-05,
+ "loss": 0.008631375432014466,
+ "mean_token_accuracy": 0.9967362582683563,
+ "num_tokens": 77659811.0,
+ "step": 3780
+ },
+ {
+ "entropy": 0.7719516515731811,
+ "epoch": 6.979742173112339,
+ "grad_norm": 0.6288211941719055,
+ "learning_rate": 2.2963301257946622e-05,
+ "loss": 0.00804171860218048,
+ "mean_token_accuracy": 0.9971263229846954,
+ "num_tokens": 77865539.0,
+ "step": 3790
+ },
+ {
+ "entropy": 0.7786632418632508,
+ "epoch": 6.998158379373849,
+ "grad_norm": 0.5279833078384399,
+ "learning_rate": 2.270763063588814e-05,
+ "loss": 0.007490953803062439,
+ "mean_token_accuracy": 0.9974353730678558,
+ "num_tokens": 78070767.0,
+ "step": 3800
+ },
+ {
+ "epoch": 7.0,
+ "eval_entropy": 0.7808213239130767,
+ "eval_loss": 0.07382760941982269,
+ "eval_mean_token_accuracy": 0.9800234224485315,
+ "eval_num_tokens": 78091327.0,
+ "eval_runtime": 10.072,
+ "eval_samples_per_second": 363.186,
+ "eval_steps_per_second": 11.418,
+ "step": 3801
+ },
+ {
+ "entropy": 0.7750412881374359,
+ "epoch": 7.016574585635359,
+ "grad_norm": 0.3850567936897278,
+ "learning_rate": 2.2452972471715644e-05,
+ "loss": 0.005539501458406449,
+ "mean_token_accuracy": 0.9983771502971649,
+ "num_tokens": 78276132.0,
+ "step": 3810
+ },
+ {
+ "entropy": 0.7673899948596954,
+ "epoch": 7.0349907918968695,
+ "grad_norm": 0.4390123188495636,
+ "learning_rate": 2.2199336212416406e-05,
+ "loss": 0.0051019065082073215,
+ "mean_token_accuracy": 0.9984941363334656,
+ "num_tokens": 78481842.0,
+ "step": 3820
+ },
+ {
+ "entropy": 0.7712743639945984,
+ "epoch": 7.05340699815838,
+ "grad_norm": 0.48151132464408875,
+ "learning_rate": 2.1946731267068386e-05,
+ "loss": 0.005401181802153587,
+ "mean_token_accuracy": 0.9984619855880738,
+ "num_tokens": 78687831.0,
+ "step": 3830
+ },
+ {
+ "entropy": 0.772344833612442,
+ "epoch": 7.071823204419889,
+ "grad_norm": 0.3234920799732208,
+ "learning_rate": 2.169516700649115e-05,
+ "loss": 0.004806514084339142,
+ "mean_token_accuracy": 0.9984551191329956,
+ "num_tokens": 78893336.0,
+ "step": 3840
+ },
+ {
+ "entropy": 0.7736243844032288,
+ "epoch": 7.0902394106813995,
+ "grad_norm": 0.4605523645877838,
+ "learning_rate": 2.1444652762898242e-05,
+ "loss": 0.0041438989341259,
+ "mean_token_accuracy": 0.9988476693630218,
+ "num_tokens": 79098566.0,
+ "step": 3850
+ },
+ {
+ "entropy": 0.7667625486850739,
+ "epoch": 7.10865561694291,
+ "grad_norm": 0.43270638585090637,
+ "learning_rate": 2.119519782955105e-05,
+ "loss": 0.004775972291827202,
+ "mean_token_accuracy": 0.9984218835830688,
+ "num_tokens": 79303871.0,
+ "step": 3860
+ },
+ {
+ "entropy": 0.7631282329559326,
+ "epoch": 7.12707182320442,
+ "grad_norm": 0.35699328780174255,
+ "learning_rate": 2.094681146041394e-05,
+ "loss": 0.00421409159898758,
+ "mean_token_accuracy": 0.9988139629364013,
+ "num_tokens": 79509090.0,
+ "step": 3870
+ },
+ {
+ "entropy": 0.7578658938407898,
+ "epoch": 7.14548802946593,
+ "grad_norm": 0.6432686448097229,
+ "learning_rate": 2.06995028698111e-05,
+ "loss": 0.004374136403203011,
+ "mean_token_accuracy": 0.998746919631958,
+ "num_tokens": 79714834.0,
+ "step": 3880
+ },
+ {
+ "entropy": 0.7558880388736725,
+ "epoch": 7.16390423572744,
+ "grad_norm": 0.7402953505516052,
+ "learning_rate": 2.0453281232084586e-05,
+ "loss": 0.004856631904840469,
+ "mean_token_accuracy": 0.9985869526863098,
+ "num_tokens": 79920226.0,
+ "step": 3890
+ },
+ {
+ "entropy": 0.7542947113513947,
+ "epoch": 7.18232044198895,
+ "grad_norm": 0.3336258828639984,
+ "learning_rate": 2.0208155681254076e-05,
+ "loss": 0.0044605318456888195,
+ "mean_token_accuracy": 0.9986851871013641,
+ "num_tokens": 80125096.0,
+ "step": 3900
+ },
+ {
+ "entropy": 0.7547785460948944,
+ "epoch": 7.2007366482504604,
+ "grad_norm": 0.48785507678985596,
+ "learning_rate": 1.9964135310678017e-05,
+ "loss": 0.004243453219532967,
+ "mean_token_accuracy": 0.99877148270607,
+ "num_tokens": 80330544.0,
+ "step": 3910
+ },
+ {
+ "entropy": 0.7504124104976654,
+ "epoch": 7.219152854511971,
+ "grad_norm": 0.462425172328949,
+ "learning_rate": 1.9721229172716245e-05,
+ "loss": 0.004574070125818253,
+ "mean_token_accuracy": 0.9984130024909973,
+ "num_tokens": 80536072.0,
+ "step": 3920
+ },
+ {
+ "entropy": 0.7527936816215515,
+ "epoch": 7.237569060773481,
+ "grad_norm": 0.38035058975219727,
+ "learning_rate": 1.9479446278394208e-05,
+ "loss": 0.004055039957165718,
+ "mean_token_accuracy": 0.9987563371658326,
+ "num_tokens": 80741305.0,
+ "step": 3930
+ },
+ {
+ "entropy": 0.7502566337585449,
+ "epoch": 7.2559852670349905,
+ "grad_norm": 0.3040870428085327,
+ "learning_rate": 1.9238795597068665e-05,
+ "loss": 0.0041418131440877914,
+ "mean_token_accuracy": 0.998740965127945,
+ "num_tokens": 80946776.0,
+ "step": 3940
+ },
+ {
+ "entropy": 0.7453009426593781,
+ "epoch": 7.274401473296501,
+ "grad_norm": 0.39008331298828125,
+ "learning_rate": 1.8999286056095e-05,
+ "loss": 0.003949865326285362,
+ "mean_token_accuracy": 0.9989946007728576,
+ "num_tokens": 81151930.0,
+ "step": 3950
+ },
+ {
+ "entropy": 0.7451439797878265,
+ "epoch": 7.292817679558011,
+ "grad_norm": 0.44502392411231995,
+ "learning_rate": 1.8760926540496006e-05,
+ "loss": 0.0047814734280109406,
+ "mean_token_accuracy": 0.9984888076782227,
+ "num_tokens": 81357559.0,
+ "step": 3960
+ },
+ {
+ "entropy": 0.749438214302063,
+ "epoch": 7.311233885819521,
+ "grad_norm": 0.5195235013961792,
+ "learning_rate": 1.8523725892632253e-05,
+ "loss": 0.004281774908304214,
+ "mean_token_accuracy": 0.9987141609191894,
+ "num_tokens": 81563294.0,
+ "step": 3970
+ },
+ {
+ "entropy": 0.7536393761634826,
+ "epoch": 7.329650092081032,
+ "grad_norm": 0.34366822242736816,
+ "learning_rate": 1.828769291187413e-05,
+ "loss": 0.0038790594786405562,
+ "mean_token_accuracy": 0.9988636136054992,
+ "num_tokens": 81768219.0,
+ "step": 3980
+ },
+ {
+ "entropy": 0.750888729095459,
+ "epoch": 7.348066298342541,
+ "grad_norm": 0.3888038098812103,
+ "learning_rate": 1.8052836354275355e-05,
+ "loss": 0.0046471841633319855,
+ "mean_token_accuracy": 0.9985671877861023,
+ "num_tokens": 81973285.0,
+ "step": 3990
+ },
+ {
+ "entropy": 0.7512096881866455,
+ "epoch": 7.366482504604051,
+ "grad_norm": 0.4684146046638489,
+ "learning_rate": 1.7819164932248194e-05,
+ "loss": 0.0049116648733615875,
+ "mean_token_accuracy": 0.9983943462371826,
+ "num_tokens": 82178663.0,
+ "step": 4000
+ },
+ {
+ "entropy": 0.7514511585235596,
+ "epoch": 7.384898710865562,
+ "grad_norm": 0.571757435798645,
+ "learning_rate": 1.7586687314240296e-05,
+ "loss": 0.005085925757884979,
+ "mean_token_accuracy": 0.9984491765499115,
+ "num_tokens": 82384703.0,
+ "step": 4010
+ },
+ {
+ "entropy": 0.7534020125865937,
+ "epoch": 7.403314917127072,
+ "grad_norm": 0.3526608943939209,
+ "learning_rate": 1.7355412124412988e-05,
+ "loss": 0.004772019758820534,
+ "mean_token_accuracy": 0.9984830975532532,
+ "num_tokens": 82590547.0,
+ "step": 4020
+ },
+ {
+ "entropy": 0.7495484054088593,
+ "epoch": 7.421731123388582,
+ "grad_norm": 0.389273464679718,
+ "learning_rate": 1.7125347942321523e-05,
+ "loss": 0.004463380947709083,
+ "mean_token_accuracy": 0.9985935151576996,
+ "num_tokens": 82795801.0,
+ "step": 4030
+ },
+ {
+ "entropy": 0.7503954172134399,
+ "epoch": 7.440147329650092,
+ "grad_norm": 0.44278526306152344,
+ "learning_rate": 1.689650330259665e-05,
+ "loss": 0.004496005177497864,
+ "mean_token_accuracy": 0.9985817015171051,
+ "num_tokens": 83001332.0,
+ "step": 4040
+ },
+ {
+ "entropy": 0.7515525698661805,
+ "epoch": 7.458563535911602,
+ "grad_norm": 0.418070524930954,
+ "learning_rate": 1.666888669462809e-05,
+ "loss": 0.004161220416426659,
+ "mean_token_accuracy": 0.9988651812076569,
+ "num_tokens": 83206211.0,
+ "step": 4050
+ },
+ {
+ "entropy": 0.747660368680954,
+ "epoch": 7.476979742173112,
+ "grad_norm": 0.52656090259552,
+ "learning_rate": 1.6442506562249622e-05,
+ "loss": 0.0042838241904973985,
+ "mean_token_accuracy": 0.9985848963260651,
+ "num_tokens": 83411773.0,
+ "step": 4060
+ },
+ {
+ "entropy": 0.7506191194057464,
+ "epoch": 7.495395948434623,
+ "grad_norm": 0.29261597990989685,
+ "learning_rate": 1.621737130342578e-05,
+ "loss": 0.003957664594054222,
+ "mean_token_accuracy": 0.9986599206924438,
+ "num_tokens": 83617231.0,
+ "step": 4070
+ },
+ {
+ "entropy": 0.7549885094165802,
+ "epoch": 7.513812154696133,
+ "grad_norm": 0.35437923669815063,
+ "learning_rate": 1.599348926994036e-05,
+ "loss": 0.0034299422055482864,
+ "mean_token_accuracy": 0.9990102112293243,
+ "num_tokens": 83822893.0,
+ "step": 4080
+ },
+ {
+ "entropy": 0.7578713536262512,
+ "epoch": 7.532228360957642,
+ "grad_norm": 0.38587674498558044,
+ "learning_rate": 1.5770868767086567e-05,
+ "loss": 0.003320001810789108,
+ "mean_token_accuracy": 0.9990382492542267,
+ "num_tokens": 84028376.0,
+ "step": 4090
+ },
+ {
+ "entropy": 0.754696124792099,
+ "epoch": 7.550644567219153,
+ "grad_norm": 0.39879584312438965,
+ "learning_rate": 1.554951805335897e-05,
+ "loss": 0.004190019145607948,
+ "mean_token_accuracy": 0.9987861573696136,
+ "num_tokens": 84233768.0,
+ "step": 4100
+ },
+ {
+ "entropy": 0.7515742480754852,
+ "epoch": 7.569060773480663,
+ "grad_norm": 0.47624126076698303,
+ "learning_rate": 1.5329445340147096e-05,
+ "loss": 0.00403064489364624,
+ "mean_token_accuracy": 0.9986754775047302,
+ "num_tokens": 84439923.0,
+ "step": 4110
+ },
+ {
+ "entropy": 0.7527350902557373,
+ "epoch": 7.587476979742173,
+ "grad_norm": 0.4721614718437195,
+ "learning_rate": 1.5110658791430804e-05,
+ "loss": 0.004505171626806259,
+ "mean_token_accuracy": 0.9985378623008728,
+ "num_tokens": 84645432.0,
+ "step": 4120
+ },
+ {
+ "entropy": 0.747485089302063,
+ "epoch": 7.605893186003684,
+ "grad_norm": 0.49411219358444214,
+ "learning_rate": 1.4893166523477448e-05,
+ "loss": 0.0038516007363796232,
+ "mean_token_accuracy": 0.9987127304077148,
+ "num_tokens": 84850968.0,
+ "step": 4130
+ },
+ {
+ "entropy": 0.7463041722774506,
+ "epoch": 7.624309392265193,
+ "grad_norm": 0.4478297531604767,
+ "learning_rate": 1.4676976604540787e-05,
+ "loss": 0.00429936945438385,
+ "mean_token_accuracy": 0.9987892746925354,
+ "num_tokens": 85056363.0,
+ "step": 4140
+ },
+ {
+ "entropy": 0.7416360318660736,
+ "epoch": 7.642725598526703,
+ "grad_norm": 0.4913847744464874,
+ "learning_rate": 1.4462097054561675e-05,
+ "loss": 0.0036755587905645372,
+ "mean_token_accuracy": 0.9989015281200408,
+ "num_tokens": 85262252.0,
+ "step": 4150
+ },
+ {
+ "entropy": 0.7403277635574341,
+ "epoch": 7.661141804788214,
+ "grad_norm": 0.49693024158477783,
+ "learning_rate": 1.4248535844870586e-05,
+ "loss": 0.0037889480590820312,
+ "mean_token_accuracy": 0.99878990650177,
+ "num_tokens": 85468067.0,
+ "step": 4160
+ },
+ {
+ "entropy": 0.7400458335876465,
+ "epoch": 7.679558011049724,
+ "grad_norm": 0.4609115421772003,
+ "learning_rate": 1.4036300897891819e-05,
+ "loss": 0.004160438477993011,
+ "mean_token_accuracy": 0.9985541105270386,
+ "num_tokens": 85673442.0,
+ "step": 4170
+ },
+ {
+ "entropy": 0.7405486226081848,
+ "epoch": 7.697974217311234,
+ "grad_norm": 0.4713679254055023,
+ "learning_rate": 1.3825400086849693e-05,
+ "loss": 0.004131061211228371,
+ "mean_token_accuracy": 0.9986487686634063,
+ "num_tokens": 85878837.0,
+ "step": 4180
+ },
+ {
+ "entropy": 0.7426068425178528,
+ "epoch": 7.716390423572744,
+ "grad_norm": 0.36043041944503784,
+ "learning_rate": 1.3615841235476423e-05,
+ "loss": 0.004306273162364959,
+ "mean_token_accuracy": 0.9986724078655242,
+ "num_tokens": 86083884.0,
+ "step": 4190
+ },
+ {
+ "entropy": 0.7389791548252106,
+ "epoch": 7.734806629834254,
+ "grad_norm": 0.4564935863018036,
+ "learning_rate": 1.3407632117721858e-05,
+ "loss": 0.003909315168857575,
+ "mean_token_accuracy": 0.998731005191803,
+ "num_tokens": 86289698.0,
+ "step": 4200
+ },
+ {
+ "entropy": 0.7440706253051758,
+ "epoch": 7.753222836095764,
+ "grad_norm": 0.442862331867218,
+ "learning_rate": 1.3200780457465211e-05,
+ "loss": 0.0041195075958967205,
+ "mean_token_accuracy": 0.9987683832645416,
+ "num_tokens": 86494738.0,
+ "step": 4210
+ },
+ {
+ "entropy": 0.738617730140686,
+ "epoch": 7.7716390423572745,
+ "grad_norm": 0.4486972391605377,
+ "learning_rate": 1.2995293928228385e-05,
+ "loss": 0.003850420191884041,
+ "mean_token_accuracy": 0.998667311668396,
+ "num_tokens": 86700730.0,
+ "step": 4220
+ },
+ {
+ "entropy": 0.7406526923179626,
+ "epoch": 7.790055248618785,
+ "grad_norm": 0.5896158218383789,
+ "learning_rate": 1.2791180152891396e-05,
+ "loss": 0.004078804701566696,
+ "mean_token_accuracy": 0.9987831771373749,
+ "num_tokens": 86905871.0,
+ "step": 4230
+ },
+ {
+ "entropy": 0.7394271969795227,
+ "epoch": 7.808471454880294,
+ "grad_norm": 0.5551350116729736,
+ "learning_rate": 1.2588446703409552e-05,
+ "loss": 0.004226792231202125,
+ "mean_token_accuracy": 0.9985223591327668,
+ "num_tokens": 87111128.0,
+ "step": 4240
+ },
+ {
+ "entropy": 0.7396899223327636,
+ "epoch": 7.826887661141805,
+ "grad_norm": 0.48465287685394287,
+ "learning_rate": 1.23871011005326e-05,
+ "loss": 0.004565985128283501,
+ "mean_token_accuracy": 0.9984864890575409,
+ "num_tokens": 87316264.0,
+ "step": 4250
+ },
+ {
+ "entropy": 0.7409733414649964,
+ "epoch": 7.845303867403315,
+ "grad_norm": 0.44551214575767517,
+ "learning_rate": 1.218715081352571e-05,
+ "loss": 0.004014456272125244,
+ "mean_token_accuracy": 0.9988965094089508,
+ "num_tokens": 87521547.0,
+ "step": 4260
+ },
+ {
+ "entropy": 0.7397344529628753,
+ "epoch": 7.863720073664825,
+ "grad_norm": 0.5410996079444885,
+ "learning_rate": 1.198860325989235e-05,
+ "loss": 0.0038732051849365234,
+ "mean_token_accuracy": 0.9988058865070343,
+ "num_tokens": 87727075.0,
+ "step": 4270
+ },
+ {
+ "entropy": 0.7383821964263916,
+ "epoch": 7.8821362799263355,
+ "grad_norm": 0.3724612891674042,
+ "learning_rate": 1.1791465805099183e-05,
+ "loss": 0.0038180787116289137,
+ "mean_token_accuracy": 0.9988650500774383,
+ "num_tokens": 87932399.0,
+ "step": 4280
+ },
+ {
+ "entropy": 0.73704674243927,
+ "epoch": 7.900552486187845,
+ "grad_norm": 0.44809216260910034,
+ "learning_rate": 1.1595745762302779e-05,
+ "loss": 0.0037666790187358854,
+ "mean_token_accuracy": 0.9988551497459411,
+ "num_tokens": 88138197.0,
+ "step": 4290
+ },
+ {
+ "entropy": 0.7348978996276856,
+ "epoch": 7.918968692449355,
+ "grad_norm": 0.3487635850906372,
+ "learning_rate": 1.140145039207836e-05,
+ "loss": 0.0034891828894615174,
+ "mean_token_accuracy": 0.9990123450756073,
+ "num_tokens": 88343771.0,
+ "step": 4300
+ },
+ {
+ "entropy": 0.7349947333335877,
+ "epoch": 7.9373848987108655,
+ "grad_norm": 0.45597800612449646,
+ "learning_rate": 1.1208586902150458e-05,
+ "loss": 0.0037573061883449553,
+ "mean_token_accuracy": 0.9988206088542938,
+ "num_tokens": 88549078.0,
+ "step": 4310
+ },
+ {
+ "entropy": 0.7384503066539765,
+ "epoch": 7.955801104972376,
+ "grad_norm": 0.4761682450771332,
+ "learning_rate": 1.1017162447125484e-05,
+ "loss": 0.004058422148227691,
+ "mean_token_accuracy": 0.9988016963005066,
+ "num_tokens": 88754354.0,
+ "step": 4320
+ },
+ {
+ "entropy": 0.7428180873394012,
+ "epoch": 7.974217311233886,
+ "grad_norm": 0.4685237407684326,
+ "learning_rate": 1.0827184128226392e-05,
+ "loss": 0.003867045044898987,
+ "mean_token_accuracy": 0.998711907863617,
+ "num_tokens": 88959534.0,
+ "step": 4330
+ },
+ {
+ "entropy": 0.7457234025001526,
+ "epoch": 7.9926335174953955,
+ "grad_norm": 0.35596850514411926,
+ "learning_rate": 1.0638658993029154e-05,
+ "loss": 0.0037776529788970947,
+ "mean_token_accuracy": 0.9989305913448334,
+ "num_tokens": 89164857.0,
+ "step": 4340
+ },
+ {
+ "epoch": 8.0,
+ "eval_entropy": 0.7504938332930855,
+ "eval_loss": 0.08306439220905304,
+ "eval_mean_token_accuracy": 0.980349570253621,
+ "eval_num_tokens": 89247188.0,
+ "eval_runtime": 10.0529,
+ "eval_samples_per_second": 363.875,
+ "eval_steps_per_second": 11.439,
+ "step": 4344
+ },
+ {
+ "entropy": 0.7459707975387573,
+ "epoch": 8.011049723756907,
+ "grad_norm": 0.2889060974121094,
+ "learning_rate": 1.0451594035201378e-05,
+ "loss": 0.003062780387699604,
+ "mean_token_accuracy": 0.9991089224815368,
+ "num_tokens": 89370847.0,
+ "step": 4350
+ },
+ {
+ "entropy": 0.7482452511787414,
+ "epoch": 8.029465930018416,
+ "grad_norm": 0.2335795760154724,
+ "learning_rate": 1.0265996194242888e-05,
+ "loss": 0.0023574704304337502,
+ "mean_token_accuracy": 0.9994185745716095,
+ "num_tokens": 89576321.0,
+ "step": 4360
+ },
+ {
+ "entropy": 0.7470004737377167,
+ "epoch": 8.047882136279926,
+ "grad_norm": 0.2035285383462906,
+ "learning_rate": 1.0081872355228228e-05,
+ "loss": 0.0021786754950881004,
+ "mean_token_accuracy": 0.9996390819549561,
+ "num_tokens": 89781865.0,
+ "step": 4370
+ },
+ {
+ "entropy": 0.7470916926860809,
+ "epoch": 8.066298342541437,
+ "grad_norm": 0.2530227303504944,
+ "learning_rate": 9.899229348551275e-06,
+ "loss": 0.0022982701659202574,
+ "mean_token_accuracy": 0.9995273351669312,
+ "num_tokens": 89987004.0,
+ "step": 4380
+ },
+ {
+ "entropy": 0.7481065988540649,
+ "epoch": 8.084714548802946,
+ "grad_norm": 0.269809752702713,
+ "learning_rate": 9.718073949671857e-06,
+ "loss": 0.0022342003881931304,
+ "mean_token_accuracy": 0.9994472205638886,
+ "num_tokens": 90191825.0,
+ "step": 4390
+ },
+ {
+ "entropy": 0.745439088344574,
+ "epoch": 8.103130755064457,
+ "grad_norm": 0.29525282979011536,
+ "learning_rate": 9.538412878864423e-06,
+ "loss": 0.002189977839589119,
+ "mean_token_accuracy": 0.9995133578777313,
+ "num_tokens": 90397588.0,
+ "step": 4400
+ },
+ {
+ "entropy": 0.745042335987091,
+ "epoch": 8.121546961325967,
+ "grad_norm": 0.26536691188812256,
+ "learning_rate": 9.360252800968717e-06,
+ "loss": 0.0021448172628879547,
+ "mean_token_accuracy": 0.9994488894939423,
+ "num_tokens": 90602602.0,
+ "step": 4410
+ },
+ {
+ "entropy": 0.7413490653038025,
+ "epoch": 8.139963167587476,
+ "grad_norm": 0.5203945636749268,
+ "learning_rate": 9.183600325142538e-06,
+ "loss": 0.002386796101927757,
+ "mean_token_accuracy": 0.999308317899704,
+ "num_tokens": 90808417.0,
+ "step": 4420
+ },
+ {
+ "entropy": 0.7447272837162018,
+ "epoch": 8.158379373848987,
+ "grad_norm": 0.23244412243366241,
+ "learning_rate": 9.008462004616558e-06,
+ "loss": 0.0021626869216561317,
+ "mean_token_accuracy": 0.9995910286903381,
+ "num_tokens": 91013911.0,
+ "step": 4430
+ },
+ {
+ "entropy": 0.7487411558628082,
+ "epoch": 8.176795580110497,
+ "grad_norm": 0.2531150281429291,
+ "learning_rate": 8.834844336451237e-06,
+ "loss": 0.0023509185761213303,
+ "mean_token_accuracy": 0.9994486331939697,
+ "num_tokens": 91219200.0,
+ "step": 4440
+ },
+ {
+ "entropy": 0.7508959770202637,
+ "epoch": 8.195211786372008,
+ "grad_norm": 0.3283107876777649,
+ "learning_rate": 8.662753761295772e-06,
+ "loss": 0.0020494431257247923,
+ "mean_token_accuracy": 0.9996370017528534,
+ "num_tokens": 91424124.0,
+ "step": 4450
+ },
+ {
+ "entropy": 0.7488435864448547,
+ "epoch": 8.213627992633517,
+ "grad_norm": 0.394175261259079,
+ "learning_rate": 8.492196663149232e-06,
+ "loss": 0.0024197638034820558,
+ "mean_token_accuracy": 0.999306058883667,
+ "num_tokens": 91629365.0,
+ "step": 4460
+ },
+ {
+ "entropy": 0.7459348142147064,
+ "epoch": 8.232044198895027,
+ "grad_norm": 0.36789506673812866,
+ "learning_rate": 8.32317936912364e-06,
+ "loss": 0.0022338634356856347,
+ "mean_token_accuracy": 0.9994658648967742,
+ "num_tokens": 91834941.0,
+ "step": 4470
+ },
+ {
+ "entropy": 0.7455970704555511,
+ "epoch": 8.250460405156538,
+ "grad_norm": 0.2969403564929962,
+ "learning_rate": 8.155708149209362e-06,
+ "loss": 0.0021990347653627396,
+ "mean_token_accuracy": 0.9994347035884857,
+ "num_tokens": 92040366.0,
+ "step": 4480
+ },
+ {
+ "entropy": 0.7435900688171386,
+ "epoch": 8.268876611418047,
+ "grad_norm": 0.35975271463394165,
+ "learning_rate": 7.989789216042415e-06,
+ "loss": 0.002438249811530113,
+ "mean_token_accuracy": 0.9993879854679107,
+ "num_tokens": 92246051.0,
+ "step": 4490
+ },
+ {
+ "entropy": 0.742461520433426,
+ "epoch": 8.287292817679559,
+ "grad_norm": 0.33160826563835144,
+ "learning_rate": 7.825428724674043e-06,
+ "loss": 0.0023146603256464005,
+ "mean_token_accuracy": 0.9994353473186492,
+ "num_tokens": 92451596.0,
+ "step": 4500
+ },
+ {
+ "entropy": 0.7435722470283508,
+ "epoch": 8.305709023941068,
+ "grad_norm": 0.3440259099006653,
+ "learning_rate": 7.662632772342415e-06,
+ "loss": 0.0021770250052213667,
+ "mean_token_accuracy": 0.9994809687137604,
+ "num_tokens": 92657419.0,
+ "step": 4510
+ },
+ {
+ "entropy": 0.7460585415363312,
+ "epoch": 8.324125230202577,
+ "grad_norm": 0.24974678456783295,
+ "learning_rate": 7.501407398246369e-06,
+ "loss": 0.0020514041185379027,
+ "mean_token_accuracy": 0.9994971275329589,
+ "num_tokens": 92863210.0,
+ "step": 4520
+ },
+ {
+ "entropy": 0.7475444614887238,
+ "epoch": 8.342541436464089,
+ "grad_norm": 0.31347015500068665,
+ "learning_rate": 7.3417585833214346e-06,
+ "loss": 0.0022453794255852698,
+ "mean_token_accuracy": 0.9995283901691436,
+ "num_tokens": 93068502.0,
+ "step": 4530
+ },
+ {
+ "entropy": 0.7466561555862427,
+ "epoch": 8.360957642725598,
+ "grad_norm": 0.2352103888988495,
+ "learning_rate": 7.183692250017915e-06,
+ "loss": 0.0020875211805105208,
+ "mean_token_accuracy": 0.999623715877533,
+ "num_tokens": 93274067.0,
+ "step": 4540
+ },
+ {
+ "entropy": 0.7491689443588256,
+ "epoch": 8.37937384898711,
+ "grad_norm": 0.2557368576526642,
+ "learning_rate": 7.027214262081239e-06,
+ "loss": 0.002048984169960022,
+ "mean_token_accuracy": 0.999556976556778,
+ "num_tokens": 93479279.0,
+ "step": 4550
+ },
+ {
+ "entropy": 0.744943630695343,
+ "epoch": 8.397790055248619,
+ "grad_norm": 0.2464229315519333,
+ "learning_rate": 6.872330424334395e-06,
+ "loss": 0.002088337019085884,
+ "mean_token_accuracy": 0.9994827687740326,
+ "num_tokens": 93684930.0,
+ "step": 4560
+ },
+ {
+ "entropy": 0.7461286425590515,
+ "epoch": 8.416206261510128,
+ "grad_norm": 0.2721276879310608,
+ "learning_rate": 6.719046482462571e-06,
+ "loss": 0.0020654335618019103,
+ "mean_token_accuracy": 0.9994162619113922,
+ "num_tokens": 93889972.0,
+ "step": 4570
+ },
+ {
+ "entropy": 0.7432287812232972,
+ "epoch": 8.43462246777164,
+ "grad_norm": 0.2500509023666382,
+ "learning_rate": 6.567368122800072e-06,
+ "loss": 0.002229658514261246,
+ "mean_token_accuracy": 0.9993383109569549,
+ "num_tokens": 94095488.0,
+ "step": 4580
+ },
+ {
+ "entropy": 0.742755651473999,
+ "epoch": 8.453038674033149,
+ "grad_norm": 0.17173363268375397,
+ "learning_rate": 6.4173009721193115e-06,
+ "loss": 0.0021433889865875243,
+ "mean_token_accuracy": 0.9994635343551636,
+ "num_tokens": 94300651.0,
+ "step": 4590
+ },
+ {
+ "entropy": 0.7388956308364868,
+ "epoch": 8.47145488029466,
+ "grad_norm": 0.274360716342926,
+ "learning_rate": 6.26885059742211e-06,
+ "loss": 0.0022360695526003837,
+ "mean_token_accuracy": 0.9994634568691254,
+ "num_tokens": 94506048.0,
+ "step": 4600
+ },
+ {
+ "entropy": 0.7357347309589386,
+ "epoch": 8.48987108655617,
+ "grad_norm": 0.24777138233184814,
+ "learning_rate": 6.122022505733205e-06,
+ "loss": 0.0022206470370292664,
+ "mean_token_accuracy": 0.9994794666767121,
+ "num_tokens": 94711514.0,
+ "step": 4610
+ },
+ {
+ "entropy": 0.735917067527771,
+ "epoch": 8.50828729281768,
+ "grad_norm": 0.3161139488220215,
+ "learning_rate": 5.976822143895872e-06,
+ "loss": 0.002088923379778862,
+ "mean_token_accuracy": 0.9994975507259369,
+ "num_tokens": 94917150.0,
+ "step": 4620
+ },
+ {
+ "entropy": 0.7372638165950776,
+ "epoch": 8.52670349907919,
+ "grad_norm": 0.20879895985126495,
+ "learning_rate": 5.833254898369972e-06,
+ "loss": 0.0024028895422816277,
+ "mean_token_accuracy": 0.9993885040283204,
+ "num_tokens": 95122554.0,
+ "step": 4630
+ },
+ {
+ "entropy": 0.7353293180465699,
+ "epoch": 8.5451197053407,
+ "grad_norm": 0.21544156968593597,
+ "learning_rate": 5.69132609503204e-06,
+ "loss": 0.0022050481289625167,
+ "mean_token_accuracy": 0.9993851661682129,
+ "num_tokens": 95327539.0,
+ "step": 4640
+ },
+ {
+ "entropy": 0.7328085541725159,
+ "epoch": 8.56353591160221,
+ "grad_norm": 0.2792287766933441,
+ "learning_rate": 5.551040998977747e-06,
+ "loss": 0.0022569041699171065,
+ "mean_token_accuracy": 0.999373483657837,
+ "num_tokens": 95533608.0,
+ "step": 4650
+ },
+ {
+ "entropy": 0.7355918467044831,
+ "epoch": 8.58195211786372,
+ "grad_norm": 0.35147684812545776,
+ "learning_rate": 5.412404814326633e-06,
+ "loss": 0.001975206658244133,
+ "mean_token_accuracy": 0.9996055364608765,
+ "num_tokens": 95738975.0,
+ "step": 4660
+ },
+ {
+ "entropy": 0.7370502591133118,
+ "epoch": 8.600368324125231,
+ "grad_norm": 0.2416532039642334,
+ "learning_rate": 5.2754226840289415e-06,
+ "loss": 0.002513406053185463,
+ "mean_token_accuracy": 0.9993549644947052,
+ "num_tokens": 95944370.0,
+ "step": 4670
+ },
+ {
+ "entropy": 0.737632417678833,
+ "epoch": 8.61878453038674,
+ "grad_norm": 0.3952357769012451,
+ "learning_rate": 5.140099689674926e-06,
+ "loss": 0.001944526843726635,
+ "mean_token_accuracy": 0.9995273172855377,
+ "num_tokens": 96149509.0,
+ "step": 4680
+ },
+ {
+ "entropy": 0.7384664714336395,
+ "epoch": 8.63720073664825,
+ "grad_norm": 0.40997347235679626,
+ "learning_rate": 5.006440851306315e-06,
+ "loss": 0.00224909633398056,
+ "mean_token_accuracy": 0.9993718564510345,
+ "num_tokens": 96354896.0,
+ "step": 4690
+ },
+ {
+ "entropy": 0.7366916120052338,
+ "epoch": 8.655616942909761,
+ "grad_norm": 0.3221156597137451,
+ "learning_rate": 4.874451127230057e-06,
+ "loss": 0.001974274218082428,
+ "mean_token_accuracy": 0.9994946360588074,
+ "num_tokens": 96559981.0,
+ "step": 4700
+ },
+ {
+ "entropy": 0.7354292273521423,
+ "epoch": 8.67403314917127,
+ "grad_norm": 0.25105226039886475,
+ "learning_rate": 4.744135413834427e-06,
+ "loss": 0.002092510275542736,
+ "mean_token_accuracy": 0.9995289027690888,
+ "num_tokens": 96765568.0,
+ "step": 4710
+ },
+ {
+ "entropy": 0.7376088976860047,
+ "epoch": 8.692449355432782,
+ "grad_norm": 0.2917911410331726,
+ "learning_rate": 4.615498545407343e-06,
+ "loss": 0.0022462595254182814,
+ "mean_token_accuracy": 0.9993582189083099,
+ "num_tokens": 96971275.0,
+ "step": 4720
+ },
+ {
+ "entropy": 0.74048610329628,
+ "epoch": 8.710865561694291,
+ "grad_norm": 0.27348214387893677,
+ "learning_rate": 4.4885452939570585e-06,
+ "loss": 0.0022259410470724106,
+ "mean_token_accuracy": 0.9994804978370666,
+ "num_tokens": 97176487.0,
+ "step": 4730
+ },
+ {
+ "entropy": 0.7381387889385224,
+ "epoch": 8.7292817679558,
+ "grad_norm": 0.43880945444107056,
+ "learning_rate": 4.363280369035128e-06,
+ "loss": 0.002389534562826157,
+ "mean_token_accuracy": 0.9994222104549408,
+ "num_tokens": 97382263.0,
+ "step": 4740
+ },
+ {
+ "entropy": 0.7372830450534821,
+ "epoch": 8.747697974217312,
+ "grad_norm": 0.23599931597709656,
+ "learning_rate": 4.2397084175616885e-06,
+ "loss": 0.0020194988697767257,
+ "mean_token_accuracy": 0.9995136618614197,
+ "num_tokens": 97588269.0,
+ "step": 4750
+ },
+ {
+ "entropy": 0.7386971414089203,
+ "epoch": 8.766114180478821,
+ "grad_norm": 0.42252203822135925,
+ "learning_rate": 4.117834023653117e-06,
+ "loss": 0.0021715080365538597,
+ "mean_token_accuracy": 0.9993864893913269,
+ "num_tokens": 97793832.0,
+ "step": 4760
+ },
+ {
+ "entropy": 0.7398471057415008,
+ "epoch": 8.784530386740332,
+ "grad_norm": 0.2709618806838989,
+ "learning_rate": 3.9976617084519e-06,
+ "loss": 0.0023746009916067123,
+ "mean_token_accuracy": 0.9993088185787201,
+ "num_tokens": 97999276.0,
+ "step": 4770
+ },
+ {
+ "entropy": 0.7391557276248932,
+ "epoch": 8.802946593001842,
+ "grad_norm": 0.30807623267173767,
+ "learning_rate": 3.8791959299589895e-06,
+ "loss": 0.001992644742131233,
+ "mean_token_accuracy": 0.9994801640510559,
+ "num_tokens": 98204933.0,
+ "step": 4780
+ },
+ {
+ "entropy": 0.7370819032192231,
+ "epoch": 8.821362799263351,
+ "grad_norm": 0.25062650442123413,
+ "learning_rate": 3.762441082868373e-06,
+ "loss": 0.002125708945095539,
+ "mean_token_accuracy": 0.999417644739151,
+ "num_tokens": 98410574.0,
+ "step": 4790
+ },
+ {
+ "entropy": 0.7399656236171722,
+ "epoch": 8.839779005524862,
+ "grad_norm": 0.32383784651756287,
+ "learning_rate": 3.647401498404052e-06,
+ "loss": 0.0019155235961079598,
+ "mean_token_accuracy": 0.9995088458061219,
+ "num_tokens": 98615509.0,
+ "step": 4800
+ },
+ {
+ "entropy": 0.7371088266372681,
+ "epoch": 8.858195211786372,
+ "grad_norm": 0.2771705985069275,
+ "learning_rate": 3.5340814441594207e-06,
+ "loss": 0.0020927552133798598,
+ "mean_token_accuracy": 0.9995276153087616,
+ "num_tokens": 98820673.0,
+ "step": 4810
+ },
+ {
+ "entropy": 0.7376474678516388,
+ "epoch": 8.876611418047883,
+ "grad_norm": 0.37182608246803284,
+ "learning_rate": 3.422485123938862e-06,
+ "loss": 0.0021230582147836684,
+ "mean_token_accuracy": 0.9994983315467835,
+ "num_tokens": 99026388.0,
+ "step": 4820
+ },
+ {
+ "entropy": 0.7386386632919312,
+ "epoch": 8.895027624309392,
+ "grad_norm": 0.29156213998794556,
+ "learning_rate": 3.3126166776018763e-06,
+ "loss": 0.0022009313106536865,
+ "mean_token_accuracy": 0.9994311630725861,
+ "num_tokens": 99231572.0,
+ "step": 4830
+ },
+ {
+ "entropy": 0.7364113330841064,
+ "epoch": 8.913443830570902,
+ "grad_norm": 0.32613781094551086,
+ "learning_rate": 3.2044801809094805e-06,
+ "loss": 0.0021279999986290933,
+ "mean_token_accuracy": 0.999450010061264,
+ "num_tokens": 99437158.0,
+ "step": 4840
+ },
+ {
+ "entropy": 0.7359442055225373,
+ "epoch": 8.931860036832413,
+ "grad_norm": 0.34959548711776733,
+ "learning_rate": 3.098079645372992e-06,
+ "loss": 0.002106292359530926,
+ "mean_token_accuracy": 0.9993851602077484,
+ "num_tokens": 99642599.0,
+ "step": 4850
+ },
+ {
+ "entropy": 0.7357041001319885,
+ "epoch": 8.950276243093922,
+ "grad_norm": 0.3114016056060791,
+ "learning_rate": 2.993419018105248e-06,
+ "loss": 0.002017174661159515,
+ "mean_token_accuracy": 0.9994815111160278,
+ "num_tokens": 99848146.0,
+ "step": 4860
+ },
+ {
+ "entropy": 0.7360438585281373,
+ "epoch": 8.968692449355434,
+ "grad_norm": 0.1850976198911667,
+ "learning_rate": 2.890502181674154e-06,
+ "loss": 0.0017870433628559112,
+ "mean_token_accuracy": 0.9996066927909851,
+ "num_tokens": 100053727.0,
+ "step": 4870
+ },
+ {
+ "entropy": 0.7401692926883697,
+ "epoch": 8.987108655616943,
+ "grad_norm": 0.22801977396011353,
+ "learning_rate": 2.7893329539586678e-06,
+ "loss": 0.0018131747841835023,
+ "mean_token_accuracy": 0.9995904862880707,
+ "num_tokens": 100259212.0,
+ "step": 4880
+ },
+ {
+ "epoch": 9.0,
+ "eval_entropy": 0.7392174223194952,
+ "eval_loss": 0.08729223161935806,
+ "eval_mean_token_accuracy": 0.9803872994754625,
+ "eval_num_tokens": 100403043.0,
+ "eval_runtime": 10.0788,
+ "eval_samples_per_second": 362.941,
+ "eval_steps_per_second": 11.41,
+ "step": 4887
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 4.786260182155919e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-4887/training_args.bin b/checkpoint-4887/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-4887/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-543/README.md b/checkpoint-543/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-543/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-543/adapter_config.json b/checkpoint-543/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-543/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-543/adapter_model.safetensors b/checkpoint-543/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..cb61270e62785c45ccb7b4a159567da5b65ac8b4
--- /dev/null
+++ b/checkpoint-543/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3759f99479bb7f6c67e389ea7cd94c4a1f4be8277648e8b2db827ea9eb3bcf3a
+size 80792096
diff --git a/checkpoint-543/chat_template.jinja b/checkpoint-543/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-543/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-543/tokenizer.json b/checkpoint-543/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-543/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-543/tokenizer_config.json b/checkpoint-543/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-543/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-543/trainer_state.json b/checkpoint-543/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..63a4f411d09e0131754beb134a1c5c1cc38b33ce
--- /dev/null
+++ b/checkpoint-543/trainer_state.json
@@ -0,0 +1,585 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 1.0,
+ "eval_steps": 500,
+ "global_step": 543,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": false
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 5.319709655427973e+17,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-543/training_args.bin b/checkpoint-543/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-543/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/checkpoint-5430/README.md b/checkpoint-5430/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd49221a54a197d9f0cab86c7982e2b2fe0776b3
--- /dev/null
+++ b/checkpoint-5430/README.md
@@ -0,0 +1,209 @@
+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen2.5-7B-Instruct
+- lora
+- sft
+- transformers
+- trl
+---
+
+# Model Card for Model ID
+
+
+
+
+
+## Model Details
+
+### Model Description
+
+
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+
+
+### Direct Use
+
+
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+
+
+[More Information Needed]
+
+### Recommendations
+
+
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+
+
+[More Information Needed]
+
+### Training Procedure
+
+
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed]
+
+#### Speeds, Sizes, Times [optional]
+
+
+
+[More Information Needed]
+
+## Evaluation
+
+
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+
+
+[More Information Needed]
+
+#### Factors
+
+
+
+[More Information Needed]
+
+#### Metrics
+
+
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+
+
+[More Information Needed]
+
+## Environmental Impact
+
+
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.19.1
\ No newline at end of file
diff --git a/checkpoint-5430/adapter_config.json b/checkpoint-5430/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..88178e58c6d24c2bb788f871d548c8bff3b8b16a
--- /dev/null
+++ b/checkpoint-5430/adapter_config.json
@@ -0,0 +1,48 @@
+{
+ "alora_invocation_tokens": null,
+ "alpha_pattern": {},
+ "arrow_config": null,
+ "auto_mapping": null,
+ "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+ "bias": "none",
+ "corda_config": null,
+ "ensure_weight_tying": false,
+ "eva_config": null,
+ "exclude_modules": null,
+ "fan_in_fan_out": false,
+ "inference_mode": true,
+ "init_lora_weights": true,
+ "layer_replication": null,
+ "layers_pattern": null,
+ "layers_to_transform": null,
+ "loftq_config": {},
+ "lora_alpha": 32,
+ "lora_bias": false,
+ "lora_dropout": 0.05,
+ "lora_ga_config": null,
+ "megatron_config": null,
+ "megatron_core": "megatron.core",
+ "modules_to_save": null,
+ "peft_type": "LORA",
+ "peft_version": "0.19.1",
+ "qalora_group_size": 16,
+ "r": 8,
+ "rank_pattern": {},
+ "revision": null,
+ "target_modules": [
+ "o_proj",
+ "v_proj",
+ "down_proj",
+ "q_proj",
+ "gate_proj",
+ "k_proj",
+ "up_proj"
+ ],
+ "target_parameters": null,
+ "task_type": "CAUSAL_LM",
+ "trainable_token_indices": null,
+ "use_bdlora": null,
+ "use_dora": false,
+ "use_qalora": false,
+ "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoint-5430/adapter_model.safetensors b/checkpoint-5430/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..c57a413b91fad886bd899d552a4aace9704085e4
--- /dev/null
+++ b/checkpoint-5430/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44a37f4e701d0d74b2f3087cbbb4d2cce354e5bfcb1651dbb4d48e82fd2234d7
+size 80792096
diff --git a/checkpoint-5430/chat_template.jinja b/checkpoint-5430/chat_template.jinja
new file mode 100644
index 0000000000000000000000000000000000000000..bdf7919a96cfe43d50914a007b9c0877bd0ec27e
--- /dev/null
+++ b/checkpoint-5430/chat_template.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+ {{- '<|im_start|>system\n' }}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- messages[0]['content'] }}
+ {%- else %}
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+ {%- endif %}
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within XML tags:\n" }}
+ {%- for tool in tools %}
+ {{- "\n" }}
+ {{- tool | tojson }}
+ {%- endfor %}
+ {{- "\n\n\nFor each function call, return a json object with function name and arguments within XML tags:\n\n{\"name\": , \"arguments\": }\n<|im_end|>\n" }}
+{%- else %}
+ {%- if messages[0]['role'] == 'system' %}
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+ {%- else %}
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+ {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+ {%- elif message.role == "assistant" %}
+ {{- '<|im_start|>' + message.role }}
+ {%- if message.content %}
+ {{- '\n' + message.content }}
+ {%- endif %}
+ {%- for tool_call in message.tool_calls %}
+ {%- if tool_call.function is defined %}
+ {%- set tool_call = tool_call.function %}
+ {%- endif %}
+ {{- '\n\n{"name": "' }}
+ {{- tool_call.name }}
+ {{- '", "arguments": ' }}
+ {{- tool_call.arguments | tojson }}
+ {{- '}\n' }}
+ {%- endfor %}
+ {{- '<|im_end|>\n' }}
+ {%- elif message.role == "tool" %}
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+ {{- '<|im_start|>user' }}
+ {%- endif %}
+ {{- '\n\n' }}
+ {{- message.content }}
+ {{- '\n' }}
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+ {{- '<|im_end|>\n' }}
+ {%- endif %}
+ {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+ {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/checkpoint-5430/tokenizer.json b/checkpoint-5430/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/checkpoint-5430/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/checkpoint-5430/tokenizer_config.json b/checkpoint-5430/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/checkpoint-5430/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/checkpoint-5430/trainer_state.json b/checkpoint-5430/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd65f1af6f476b68fe0c8ca2ad93c7ea9563fd34
--- /dev/null
+++ b/checkpoint-5430/trainer_state.json
@@ -0,0 +1,5574 @@
+{
+ "best_global_step": null,
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 10.0,
+ "eval_steps": 500,
+ "global_step": 5430,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "entropy": 1.2237394809722901,
+ "epoch": 0.01841620626151013,
+ "grad_norm": 5.082435607910156,
+ "learning_rate": 3.308823529411765e-06,
+ "loss": 0.9237876892089844,
+ "mean_token_accuracy": 0.7685343027114868,
+ "num_tokens": 205423.0,
+ "step": 10
+ },
+ {
+ "entropy": 1.2295925617218018,
+ "epoch": 0.03683241252302026,
+ "grad_norm": 4.672000408172607,
+ "learning_rate": 6.985294117647059e-06,
+ "loss": 0.8900892257690429,
+ "mean_token_accuracy": 0.7677771031856537,
+ "num_tokens": 410849.0,
+ "step": 20
+ },
+ {
+ "entropy": 1.2285718679428101,
+ "epoch": 0.055248618784530384,
+ "grad_norm": 1.4828118085861206,
+ "learning_rate": 1.0661764705882354e-05,
+ "loss": 0.5975452899932862,
+ "mean_token_accuracy": 0.8146551787853241,
+ "num_tokens": 616438.0,
+ "step": 30
+ },
+ {
+ "entropy": 1.210776400566101,
+ "epoch": 0.07366482504604052,
+ "grad_norm": 0.7761328816413879,
+ "learning_rate": 1.4338235294117647e-05,
+ "loss": 0.40664992332458494,
+ "mean_token_accuracy": 0.8699092030525207,
+ "num_tokens": 822118.0,
+ "step": 40
+ },
+ {
+ "entropy": 1.200321125984192,
+ "epoch": 0.09208103130755065,
+ "grad_norm": 0.5363371968269348,
+ "learning_rate": 1.8014705882352943e-05,
+ "loss": 0.3313469409942627,
+ "mean_token_accuracy": 0.8904915869235992,
+ "num_tokens": 1027941.0,
+ "step": 50
+ },
+ {
+ "entropy": 1.1809936046600342,
+ "epoch": 0.11049723756906077,
+ "grad_norm": 0.39541518688201904,
+ "learning_rate": 2.1691176470588237e-05,
+ "loss": 0.27568228244781495,
+ "mean_token_accuracy": 0.9047131836414337,
+ "num_tokens": 1233620.0,
+ "step": 60
+ },
+ {
+ "entropy": 1.169810914993286,
+ "epoch": 0.1289134438305709,
+ "grad_norm": 0.341960072517395,
+ "learning_rate": 2.536764705882353e-05,
+ "loss": 0.245219087600708,
+ "mean_token_accuracy": 0.9150686681270599,
+ "num_tokens": 1438656.0,
+ "step": 70
+ },
+ {
+ "entropy": 1.1652960777282715,
+ "epoch": 0.14732965009208104,
+ "grad_norm": 0.36872178316116333,
+ "learning_rate": 2.9044117647058828e-05,
+ "loss": 0.2220149040222168,
+ "mean_token_accuracy": 0.9224777698516846,
+ "num_tokens": 1643877.0,
+ "step": 80
+ },
+ {
+ "entropy": 1.154341197013855,
+ "epoch": 0.16574585635359115,
+ "grad_norm": 0.4152425229549408,
+ "learning_rate": 3.272058823529412e-05,
+ "loss": 0.2002798557281494,
+ "mean_token_accuracy": 0.9285802960395813,
+ "num_tokens": 1849506.0,
+ "step": 90
+ },
+ {
+ "entropy": 1.1507258892059327,
+ "epoch": 0.1841620626151013,
+ "grad_norm": 0.47647765278816223,
+ "learning_rate": 3.639705882352941e-05,
+ "loss": 0.18871363401412963,
+ "mean_token_accuracy": 0.9318056285381318,
+ "num_tokens": 2055071.0,
+ "step": 100
+ },
+ {
+ "entropy": 1.1455535531044005,
+ "epoch": 0.20257826887661143,
+ "grad_norm": 0.4853009581565857,
+ "learning_rate": 4.007352941176471e-05,
+ "loss": 0.17836341857910157,
+ "mean_token_accuracy": 0.9367631554603577,
+ "num_tokens": 2260643.0,
+ "step": 110
+ },
+ {
+ "entropy": 1.1402526497840881,
+ "epoch": 0.22099447513812154,
+ "grad_norm": 0.4455392360687256,
+ "learning_rate": 4.375e-05,
+ "loss": 0.16921783685684205,
+ "mean_token_accuracy": 0.9386959195137023,
+ "num_tokens": 2466085.0,
+ "step": 120
+ },
+ {
+ "entropy": 1.1374777555465698,
+ "epoch": 0.23941068139963168,
+ "grad_norm": 0.5880279541015625,
+ "learning_rate": 4.742647058823529e-05,
+ "loss": 0.15989291667938232,
+ "mean_token_accuracy": 0.9421182632446289,
+ "num_tokens": 2671024.0,
+ "step": 130
+ },
+ {
+ "entropy": 1.1273940205574036,
+ "epoch": 0.2578268876611418,
+ "grad_norm": 0.612959086894989,
+ "learning_rate": 5.110294117647059e-05,
+ "loss": 0.14701461791992188,
+ "mean_token_accuracy": 0.9463540315628052,
+ "num_tokens": 2876848.0,
+ "step": 140
+ },
+ {
+ "entropy": 1.1263513088226318,
+ "epoch": 0.27624309392265195,
+ "grad_norm": 0.5695255398750305,
+ "learning_rate": 5.477941176470589e-05,
+ "loss": 0.14604382514953612,
+ "mean_token_accuracy": 0.946351945400238,
+ "num_tokens": 3082589.0,
+ "step": 150
+ },
+ {
+ "entropy": 1.1290789365768432,
+ "epoch": 0.2946593001841621,
+ "grad_norm": 0.6608090996742249,
+ "learning_rate": 5.845588235294118e-05,
+ "loss": 0.1409450054168701,
+ "mean_token_accuracy": 0.9481450319290161,
+ "num_tokens": 3287459.0,
+ "step": 160
+ },
+ {
+ "entropy": 1.1291529774665832,
+ "epoch": 0.31307550644567217,
+ "grad_norm": 0.652715802192688,
+ "learning_rate": 6.213235294117647e-05,
+ "loss": 0.14441155195236205,
+ "mean_token_accuracy": 0.9466125547885895,
+ "num_tokens": 3493682.0,
+ "step": 170
+ },
+ {
+ "entropy": 1.1244838953018188,
+ "epoch": 0.3314917127071823,
+ "grad_norm": 0.7815241813659668,
+ "learning_rate": 6.580882352941177e-05,
+ "loss": 0.13361064195632935,
+ "mean_token_accuracy": 0.9512295544147491,
+ "num_tokens": 3699573.0,
+ "step": 180
+ },
+ {
+ "entropy": 1.1217721104621887,
+ "epoch": 0.34990791896869244,
+ "grad_norm": 0.7933160066604614,
+ "learning_rate": 6.948529411764706e-05,
+ "loss": 0.13089522123336791,
+ "mean_token_accuracy": 0.9520221531391144,
+ "num_tokens": 3905156.0,
+ "step": 190
+ },
+ {
+ "entropy": 1.1206679105758668,
+ "epoch": 0.3683241252302026,
+ "grad_norm": 0.6815240383148193,
+ "learning_rate": 7.316176470588236e-05,
+ "loss": 0.13400404453277587,
+ "mean_token_accuracy": 0.9501322209835052,
+ "num_tokens": 4110570.0,
+ "step": 200
+ },
+ {
+ "entropy": 1.1161052227020263,
+ "epoch": 0.3867403314917127,
+ "grad_norm": 0.8297767639160156,
+ "learning_rate": 7.683823529411766e-05,
+ "loss": 0.13389937877655028,
+ "mean_token_accuracy": 0.9501932203769684,
+ "num_tokens": 4315834.0,
+ "step": 210
+ },
+ {
+ "entropy": 1.1098745942115784,
+ "epoch": 0.40515653775322286,
+ "grad_norm": 0.5943381786346436,
+ "learning_rate": 8.051470588235294e-05,
+ "loss": 0.13452907800674438,
+ "mean_token_accuracy": 0.9503286242485046,
+ "num_tokens": 4520807.0,
+ "step": 220
+ },
+ {
+ "entropy": 1.100480353832245,
+ "epoch": 0.42357274401473294,
+ "grad_norm": 0.6094359755516052,
+ "learning_rate": 8.419117647058824e-05,
+ "loss": 0.12827746868133544,
+ "mean_token_accuracy": 0.952492094039917,
+ "num_tokens": 4725867.0,
+ "step": 230
+ },
+ {
+ "entropy": 1.0901286959648133,
+ "epoch": 0.4419889502762431,
+ "grad_norm": 0.7240597605705261,
+ "learning_rate": 8.786764705882353e-05,
+ "loss": 0.12171242237091065,
+ "mean_token_accuracy": 0.953943532705307,
+ "num_tokens": 4931629.0,
+ "step": 240
+ },
+ {
+ "entropy": 1.0885071873664856,
+ "epoch": 0.4604051565377532,
+ "grad_norm": 0.6939547657966614,
+ "learning_rate": 9.154411764705882e-05,
+ "loss": 0.12155698537826538,
+ "mean_token_accuracy": 0.9545870959758759,
+ "num_tokens": 5137285.0,
+ "step": 250
+ },
+ {
+ "entropy": 1.086272156238556,
+ "epoch": 0.47882136279926335,
+ "grad_norm": 0.5752800703048706,
+ "learning_rate": 9.522058823529412e-05,
+ "loss": 0.12157790660858155,
+ "mean_token_accuracy": 0.9541126549243927,
+ "num_tokens": 5342575.0,
+ "step": 260
+ },
+ {
+ "entropy": 1.0857678413391114,
+ "epoch": 0.4972375690607735,
+ "grad_norm": 0.7565123438835144,
+ "learning_rate": 9.889705882352942e-05,
+ "loss": 0.12349612712860107,
+ "mean_token_accuracy": 0.9535140514373779,
+ "num_tokens": 5547995.0,
+ "step": 270
+ },
+ {
+ "entropy": 1.079762625694275,
+ "epoch": 0.5156537753222836,
+ "grad_norm": 0.6972768306732178,
+ "learning_rate": 9.999954556423843e-05,
+ "loss": 0.11875582933425903,
+ "mean_token_accuracy": 0.9556483089923858,
+ "num_tokens": 5753195.0,
+ "step": 280
+ },
+ {
+ "entropy": 1.0742079138755798,
+ "epoch": 0.5340699815837937,
+ "grad_norm": 0.7821696996688843,
+ "learning_rate": 9.999731977631227e-05,
+ "loss": 0.11824090480804443,
+ "mean_token_accuracy": 0.9557521045207977,
+ "num_tokens": 5958236.0,
+ "step": 290
+ },
+ {
+ "entropy": 1.0679773569107056,
+ "epoch": 0.5524861878453039,
+ "grad_norm": 0.5846888422966003,
+ "learning_rate": 9.999323925089486e-05,
+ "loss": 0.11707355976104736,
+ "mean_token_accuracy": 0.9554719448089599,
+ "num_tokens": 6163992.0,
+ "step": 300
+ },
+ {
+ "entropy": 1.0655727863311768,
+ "epoch": 0.570902394106814,
+ "grad_norm": 0.5812502503395081,
+ "learning_rate": 9.998730413936037e-05,
+ "loss": 0.11371417045593261,
+ "mean_token_accuracy": 0.9576376020908356,
+ "num_tokens": 6369456.0,
+ "step": 310
+ },
+ {
+ "entropy": 1.0607039332389832,
+ "epoch": 0.5893186003683242,
+ "grad_norm": 0.6238475441932678,
+ "learning_rate": 9.99795146618821e-05,
+ "loss": 0.11775733232498169,
+ "mean_token_accuracy": 0.9557221591472626,
+ "num_tokens": 6574833.0,
+ "step": 320
+ },
+ {
+ "entropy": 1.0504255175590516,
+ "epoch": 0.6077348066298343,
+ "grad_norm": 0.6496815085411072,
+ "learning_rate": 9.996987110742422e-05,
+ "loss": 0.10904088020324706,
+ "mean_token_accuracy": 0.9585366368293762,
+ "num_tokens": 6780108.0,
+ "step": 330
+ },
+ {
+ "entropy": 1.0456081986427308,
+ "epoch": 0.6261510128913443,
+ "grad_norm": 0.786702573299408,
+ "learning_rate": 9.995837383373119e-05,
+ "loss": 0.10642309188842773,
+ "mean_token_accuracy": 0.9596696078777314,
+ "num_tokens": 6985920.0,
+ "step": 340
+ },
+ {
+ "entropy": 1.0455098271369934,
+ "epoch": 0.6445672191528545,
+ "grad_norm": 0.5473790168762207,
+ "learning_rate": 9.994502326731434e-05,
+ "loss": 0.10822961330413819,
+ "mean_token_accuracy": 0.959563136100769,
+ "num_tokens": 7191465.0,
+ "step": 350
+ },
+ {
+ "entropy": 1.04240562915802,
+ "epoch": 0.6629834254143646,
+ "grad_norm": 0.6672356128692627,
+ "learning_rate": 9.992981990343614e-05,
+ "loss": 0.1110004186630249,
+ "mean_token_accuracy": 0.9582514643669129,
+ "num_tokens": 7396877.0,
+ "step": 360
+ },
+ {
+ "entropy": 1.0386811256408692,
+ "epoch": 0.6813996316758748,
+ "grad_norm": 0.698539674282074,
+ "learning_rate": 9.99127643060918e-05,
+ "loss": 0.107539963722229,
+ "mean_token_accuracy": 0.9593036234378814,
+ "num_tokens": 7602437.0,
+ "step": 370
+ },
+ {
+ "entropy": 1.0311225533485413,
+ "epoch": 0.6998158379373849,
+ "grad_norm": 0.6629284024238586,
+ "learning_rate": 9.989385710798837e-05,
+ "loss": 0.1064023494720459,
+ "mean_token_accuracy": 0.9602205216884613,
+ "num_tokens": 7808142.0,
+ "step": 380
+ },
+ {
+ "entropy": 1.030210506916046,
+ "epoch": 0.7182320441988951,
+ "grad_norm": 0.5616748929023743,
+ "learning_rate": 9.987309901052121e-05,
+ "loss": 0.10717041492462158,
+ "mean_token_accuracy": 0.9599347949028015,
+ "num_tokens": 8013407.0,
+ "step": 390
+ },
+ {
+ "entropy": 1.0208017826080322,
+ "epoch": 0.7366482504604052,
+ "grad_norm": 0.6329049468040466,
+ "learning_rate": 9.985049078374806e-05,
+ "loss": 0.10359601974487305,
+ "mean_token_accuracy": 0.9603756129741668,
+ "num_tokens": 8219040.0,
+ "step": 400
+ },
+ {
+ "entropy": 1.015640377998352,
+ "epoch": 0.7550644567219152,
+ "grad_norm": 0.6516013741493225,
+ "learning_rate": 9.982603326636037e-05,
+ "loss": 0.10146439075469971,
+ "mean_token_accuracy": 0.9627702474594116,
+ "num_tokens": 8424678.0,
+ "step": 410
+ },
+ {
+ "entropy": 1.0105359435081482,
+ "epoch": 0.7734806629834254,
+ "grad_norm": 0.6920603513717651,
+ "learning_rate": 9.979972736565226e-05,
+ "loss": 0.10770498514175415,
+ "mean_token_accuracy": 0.9591470420360565,
+ "num_tokens": 8629868.0,
+ "step": 420
+ },
+ {
+ "entropy": 0.9966452836990356,
+ "epoch": 0.7918968692449355,
+ "grad_norm": 0.6857476234436035,
+ "learning_rate": 9.977157405748687e-05,
+ "loss": 0.10282524824142455,
+ "mean_token_accuracy": 0.9612209022045135,
+ "num_tokens": 8835320.0,
+ "step": 430
+ },
+ {
+ "entropy": 0.9945534646511078,
+ "epoch": 0.8103130755064457,
+ "grad_norm": 0.7208472490310669,
+ "learning_rate": 9.974157438626008e-05,
+ "loss": 0.10069938898086547,
+ "mean_token_accuracy": 0.9620070576667785,
+ "num_tokens": 9041123.0,
+ "step": 440
+ },
+ {
+ "entropy": 0.979461395740509,
+ "epoch": 0.8287292817679558,
+ "grad_norm": 0.5071915984153748,
+ "learning_rate": 9.970972946486185e-05,
+ "loss": 0.09799174070358277,
+ "mean_token_accuracy": 0.9620374023914338,
+ "num_tokens": 9246361.0,
+ "step": 450
+ },
+ {
+ "entropy": 0.9830998003482818,
+ "epoch": 0.8471454880294659,
+ "grad_norm": 0.8660802245140076,
+ "learning_rate": 9.967604047463493e-05,
+ "loss": 0.10378165245056152,
+ "mean_token_accuracy": 0.9606865763664245,
+ "num_tokens": 9451845.0,
+ "step": 460
+ },
+ {
+ "entropy": 0.9813413023948669,
+ "epoch": 0.8655616942909761,
+ "grad_norm": 0.7642477750778198,
+ "learning_rate": 9.964050866533094e-05,
+ "loss": 0.1010061264038086,
+ "mean_token_accuracy": 0.9608745336532593,
+ "num_tokens": 9656802.0,
+ "step": 470
+ },
+ {
+ "entropy": 0.967874163389206,
+ "epoch": 0.8839779005524862,
+ "grad_norm": 0.5987281799316406,
+ "learning_rate": 9.960313535506411e-05,
+ "loss": 0.10169394016265869,
+ "mean_token_accuracy": 0.9611998200416565,
+ "num_tokens": 9861719.0,
+ "step": 480
+ },
+ {
+ "entropy": 0.9663491308689117,
+ "epoch": 0.9023941068139963,
+ "grad_norm": 0.6124638319015503,
+ "learning_rate": 9.956392193026239e-05,
+ "loss": 0.102389657497406,
+ "mean_token_accuracy": 0.9611884355545044,
+ "num_tokens": 10066673.0,
+ "step": 490
+ },
+ {
+ "entropy": 0.959654438495636,
+ "epoch": 0.9208103130755064,
+ "grad_norm": 0.7873051762580872,
+ "learning_rate": 9.952286984561592e-05,
+ "loss": 0.10170392990112305,
+ "mean_token_accuracy": 0.9610928475856781,
+ "num_tokens": 10272091.0,
+ "step": 500
+ },
+ {
+ "entropy": 0.9550537407398224,
+ "epoch": 0.9392265193370166,
+ "grad_norm": 0.6071968078613281,
+ "learning_rate": 9.947998062402313e-05,
+ "loss": 0.09448277950286865,
+ "mean_token_accuracy": 0.9648977637290954,
+ "num_tokens": 10477632.0,
+ "step": 510
+ },
+ {
+ "entropy": 0.9538533687591553,
+ "epoch": 0.9576427255985267,
+ "grad_norm": 0.6317242980003357,
+ "learning_rate": 9.943525585653428e-05,
+ "loss": 0.09542192220687866,
+ "mean_token_accuracy": 0.9635261118412017,
+ "num_tokens": 10682828.0,
+ "step": 520
+ },
+ {
+ "entropy": 0.9362513542175293,
+ "epoch": 0.9760589318600368,
+ "grad_norm": 0.6421944499015808,
+ "learning_rate": 9.938869720229234e-05,
+ "loss": 0.09382058382034301,
+ "mean_token_accuracy": 0.9648073971271515,
+ "num_tokens": 10888741.0,
+ "step": 530
+ },
+ {
+ "entropy": 0.9235438346862793,
+ "epoch": 0.994475138121547,
+ "grad_norm": 0.7986873388290405,
+ "learning_rate": 9.934030638847155e-05,
+ "loss": 0.09827429056167603,
+ "mean_token_accuracy": 0.9621128737926483,
+ "num_tokens": 11094387.0,
+ "step": 540
+ },
+ {
+ "epoch": 1.0,
+ "eval_entropy": 0.9137652366057686,
+ "eval_loss": 0.09368764609098434,
+ "eval_mean_token_accuracy": 0.9640816880309063,
+ "eval_num_tokens": 11155908.0,
+ "eval_runtime": 10.4701,
+ "eval_samples_per_second": 349.377,
+ "eval_steps_per_second": 10.984,
+ "step": 543
+ },
+ {
+ "entropy": 0.9047818422317505,
+ "epoch": 1.0128913443830572,
+ "grad_norm": 0.6781501173973083,
+ "learning_rate": 9.929008521021325e-05,
+ "loss": 0.0863916516304016,
+ "mean_token_accuracy": 0.9673655688762665,
+ "num_tokens": 11299715.0,
+ "step": 550
+ },
+ {
+ "entropy": 0.8856981039047241,
+ "epoch": 1.0313075506445673,
+ "grad_norm": 0.7143136858940125,
+ "learning_rate": 9.923803553055937e-05,
+ "loss": 0.08632323145866394,
+ "mean_token_accuracy": 0.9677783191204071,
+ "num_tokens": 11505059.0,
+ "step": 560
+ },
+ {
+ "entropy": 0.8937099635601043,
+ "epoch": 1.0497237569060773,
+ "grad_norm": 0.7751694321632385,
+ "learning_rate": 9.918415928038325e-05,
+ "loss": 0.08178263902664185,
+ "mean_token_accuracy": 0.9694291114807129,
+ "num_tokens": 11710464.0,
+ "step": 570
+ },
+ {
+ "entropy": 0.8858704209327698,
+ "epoch": 1.0681399631675874,
+ "grad_norm": 0.7492292523384094,
+ "learning_rate": 9.912845845831805e-05,
+ "loss": 0.08074211478233337,
+ "mean_token_accuracy": 0.9692470014095307,
+ "num_tokens": 11915959.0,
+ "step": 580
+ },
+ {
+ "entropy": 0.8948039829730987,
+ "epoch": 1.0865561694290977,
+ "grad_norm": 0.8116479516029358,
+ "learning_rate": 9.907093513068259e-05,
+ "loss": 0.08712012171745301,
+ "mean_token_accuracy": 0.9669980227947235,
+ "num_tokens": 12121499.0,
+ "step": 590
+ },
+ {
+ "entropy": 0.8846789538860321,
+ "epoch": 1.1049723756906078,
+ "grad_norm": 0.7295626997947693,
+ "learning_rate": 9.901159143140471e-05,
+ "loss": 0.08444435596466064,
+ "mean_token_accuracy": 0.9674544095993042,
+ "num_tokens": 12327061.0,
+ "step": 600
+ },
+ {
+ "entropy": 0.8734103918075562,
+ "epoch": 1.1233885819521179,
+ "grad_norm": 0.9585768580436707,
+ "learning_rate": 9.89504295619421e-05,
+ "loss": 0.08022565841674804,
+ "mean_token_accuracy": 0.969569206237793,
+ "num_tokens": 12532305.0,
+ "step": 610
+ },
+ {
+ "entropy": 0.8640486001968384,
+ "epoch": 1.141804788213628,
+ "grad_norm": 0.7891159057617188,
+ "learning_rate": 9.88874517912006e-05,
+ "loss": 0.08415375947952271,
+ "mean_token_accuracy": 0.9678892493247986,
+ "num_tokens": 12737828.0,
+ "step": 620
+ },
+ {
+ "entropy": 0.8599755525588989,
+ "epoch": 1.160220994475138,
+ "grad_norm": 0.5801345109939575,
+ "learning_rate": 9.882266045545012e-05,
+ "loss": 0.08100489974021911,
+ "mean_token_accuracy": 0.9688023269176483,
+ "num_tokens": 12943343.0,
+ "step": 630
+ },
+ {
+ "entropy": 0.86524977684021,
+ "epoch": 1.1786372007366483,
+ "grad_norm": 0.7633041143417358,
+ "learning_rate": 9.87560579582379e-05,
+ "loss": 0.07859406471252442,
+ "mean_token_accuracy": 0.9702189445495606,
+ "num_tokens": 13148473.0,
+ "step": 640
+ },
+ {
+ "entropy": 0.8466695249080658,
+ "epoch": 1.1970534069981584,
+ "grad_norm": 0.8672215938568115,
+ "learning_rate": 9.868764677029934e-05,
+ "loss": 0.08082623481750488,
+ "mean_token_accuracy": 0.9689972400665283,
+ "num_tokens": 13353890.0,
+ "step": 650
+ },
+ {
+ "entropy": 0.8596941530704498,
+ "epoch": 1.2154696132596685,
+ "grad_norm": 0.7524124383926392,
+ "learning_rate": 9.861742942946639e-05,
+ "loss": 0.0789935290813446,
+ "mean_token_accuracy": 0.9693858206272126,
+ "num_tokens": 13559475.0,
+ "step": 660
+ },
+ {
+ "entropy": 0.8708749234676361,
+ "epoch": 1.2338858195211786,
+ "grad_norm": 0.5777031183242798,
+ "learning_rate": 9.854540854057337e-05,
+ "loss": 0.07773642539978028,
+ "mean_token_accuracy": 0.970385092496872,
+ "num_tokens": 13765076.0,
+ "step": 670
+ },
+ {
+ "entropy": 0.8651713371276856,
+ "epoch": 1.2523020257826887,
+ "grad_norm": 0.7924166321754456,
+ "learning_rate": 9.847158677536034e-05,
+ "loss": 0.0766686737537384,
+ "mean_token_accuracy": 0.9702267110347748,
+ "num_tokens": 13970642.0,
+ "step": 680
+ },
+ {
+ "entropy": 0.8763024985790253,
+ "epoch": 1.270718232044199,
+ "grad_norm": 0.741219162940979,
+ "learning_rate": 9.839596687237403e-05,
+ "loss": 0.07189929485321045,
+ "mean_token_accuracy": 0.9727097094058991,
+ "num_tokens": 14176556.0,
+ "step": 690
+ },
+ {
+ "entropy": 0.8556921362876893,
+ "epoch": 1.289134438305709,
+ "grad_norm": 0.6298198103904724,
+ "learning_rate": 9.831855163686618e-05,
+ "loss": 0.07608137726783752,
+ "mean_token_accuracy": 0.9716399371623993,
+ "num_tokens": 14381686.0,
+ "step": 700
+ },
+ {
+ "entropy": 0.869178420305252,
+ "epoch": 1.3075506445672191,
+ "grad_norm": 0.5850273370742798,
+ "learning_rate": 9.823934394068952e-05,
+ "loss": 0.07437651753425598,
+ "mean_token_accuracy": 0.9709566533565521,
+ "num_tokens": 14586814.0,
+ "step": 710
+ },
+ {
+ "entropy": 0.8708595156669616,
+ "epoch": 1.3259668508287292,
+ "grad_norm": 0.6580632328987122,
+ "learning_rate": 9.815834672219127e-05,
+ "loss": 0.07518917322158813,
+ "mean_token_accuracy": 0.9717426657676697,
+ "num_tokens": 14792321.0,
+ "step": 720
+ },
+ {
+ "entropy": 0.8826817810535431,
+ "epoch": 1.3443830570902393,
+ "grad_norm": 0.8788532018661499,
+ "learning_rate": 9.807556298610404e-05,
+ "loss": 0.07579240798950196,
+ "mean_token_accuracy": 0.9706341981887817,
+ "num_tokens": 14997810.0,
+ "step": 730
+ },
+ {
+ "entropy": 0.9012470185756684,
+ "epoch": 1.3627992633517496,
+ "grad_norm": 0.7022138237953186,
+ "learning_rate": 9.799099580343441e-05,
+ "loss": 0.0775588572025299,
+ "mean_token_accuracy": 0.9699241399765015,
+ "num_tokens": 15203795.0,
+ "step": 740
+ },
+ {
+ "entropy": 0.886955714225769,
+ "epoch": 1.3812154696132597,
+ "grad_norm": 0.7881133556365967,
+ "learning_rate": 9.790464831134903e-05,
+ "loss": 0.07125020027160645,
+ "mean_token_accuracy": 0.9723815560340882,
+ "num_tokens": 15408974.0,
+ "step": 750
+ },
+ {
+ "entropy": 0.9047374844551086,
+ "epoch": 1.3996316758747698,
+ "grad_norm": 0.9082005023956299,
+ "learning_rate": 9.781652371305824e-05,
+ "loss": 0.07004334926605224,
+ "mean_token_accuracy": 0.9725580036640167,
+ "num_tokens": 15614399.0,
+ "step": 760
+ },
+ {
+ "entropy": 0.9039053857326508,
+ "epoch": 1.4180478821362799,
+ "grad_norm": 0.8060817122459412,
+ "learning_rate": 9.77266252776972e-05,
+ "loss": 0.07103485465049744,
+ "mean_token_accuracy": 0.9721468150615692,
+ "num_tokens": 15819895.0,
+ "step": 770
+ },
+ {
+ "entropy": 0.8998047232627868,
+ "epoch": 1.43646408839779,
+ "grad_norm": 1.0152642726898193,
+ "learning_rate": 9.763495634020467e-05,
+ "loss": 0.07411704063415528,
+ "mean_token_accuracy": 0.9711063146591187,
+ "num_tokens": 16025297.0,
+ "step": 780
+ },
+ {
+ "entropy": 0.9120213568210602,
+ "epoch": 1.4548802946593002,
+ "grad_norm": 0.6288319826126099,
+ "learning_rate": 9.754152030119921e-05,
+ "loss": 0.07223712205886841,
+ "mean_token_accuracy": 0.9722476422786712,
+ "num_tokens": 16230656.0,
+ "step": 790
+ },
+ {
+ "entropy": 0.9142370820045471,
+ "epoch": 1.4732965009208103,
+ "grad_norm": 0.7854700088500977,
+ "learning_rate": 9.744632062685311e-05,
+ "loss": 0.07186744809150696,
+ "mean_token_accuracy": 0.972247713804245,
+ "num_tokens": 16435943.0,
+ "step": 800
+ },
+ {
+ "entropy": 0.8920814216136932,
+ "epoch": 1.4917127071823204,
+ "grad_norm": 0.6227074265480042,
+ "learning_rate": 9.734936084876383e-05,
+ "loss": 0.07016961574554444,
+ "mean_token_accuracy": 0.9725603640079499,
+ "num_tokens": 16641635.0,
+ "step": 810
+ },
+ {
+ "entropy": 0.891328877210617,
+ "epoch": 1.5101289134438307,
+ "grad_norm": 0.7601346969604492,
+ "learning_rate": 9.725064456382283e-05,
+ "loss": 0.07137494087219239,
+ "mean_token_accuracy": 0.9722997546195984,
+ "num_tokens": 16847194.0,
+ "step": 820
+ },
+ {
+ "entropy": 0.8921217978000641,
+ "epoch": 1.5285451197053406,
+ "grad_norm": 0.7813850045204163,
+ "learning_rate": 9.715017543408233e-05,
+ "loss": 0.06890199184417725,
+ "mean_token_accuracy": 0.9735044002532959,
+ "num_tokens": 17052807.0,
+ "step": 830
+ },
+ {
+ "entropy": 0.9085914671421051,
+ "epoch": 1.5469613259668509,
+ "grad_norm": 0.6184289455413818,
+ "learning_rate": 9.704795718661939e-05,
+ "loss": 0.07043765187263488,
+ "mean_token_accuracy": 0.9725716531276702,
+ "num_tokens": 17258284.0,
+ "step": 840
+ },
+ {
+ "entropy": 0.9029861629009247,
+ "epoch": 1.565377532228361,
+ "grad_norm": 0.7082377076148987,
+ "learning_rate": 9.694399361339752e-05,
+ "loss": 0.07113839387893676,
+ "mean_token_accuracy": 0.9725669205188752,
+ "num_tokens": 17464326.0,
+ "step": 850
+ },
+ {
+ "entropy": 0.8856533527374267,
+ "epoch": 1.583793738489871,
+ "grad_norm": 0.7409216165542603,
+ "learning_rate": 9.683828857112627e-05,
+ "loss": 0.07077333331108093,
+ "mean_token_accuracy": 0.9731084644794464,
+ "num_tokens": 17669537.0,
+ "step": 860
+ },
+ {
+ "entropy": 0.8613030433654785,
+ "epoch": 1.6022099447513813,
+ "grad_norm": 0.6801561713218689,
+ "learning_rate": 9.673084598111789e-05,
+ "loss": 0.06885308027267456,
+ "mean_token_accuracy": 0.97266526222229,
+ "num_tokens": 17875289.0,
+ "step": 870
+ },
+ {
+ "entropy": 0.8692965865135193,
+ "epoch": 1.6206261510128912,
+ "grad_norm": 1.1621277332305908,
+ "learning_rate": 9.662166982914203e-05,
+ "loss": 0.07017780542373657,
+ "mean_token_accuracy": 0.9733059942722321,
+ "num_tokens": 18080404.0,
+ "step": 880
+ },
+ {
+ "entropy": 0.8671502113342285,
+ "epoch": 1.6390423572744015,
+ "grad_norm": 0.7518903613090515,
+ "learning_rate": 9.651076416527787e-05,
+ "loss": 0.06977018713951111,
+ "mean_token_accuracy": 0.9730017304420471,
+ "num_tokens": 18285699.0,
+ "step": 890
+ },
+ {
+ "entropy": 0.8662045657634735,
+ "epoch": 1.6574585635359116,
+ "grad_norm": 0.6622698903083801,
+ "learning_rate": 9.639813310376378e-05,
+ "loss": 0.06620995998382569,
+ "mean_token_accuracy": 0.9737491130828857,
+ "num_tokens": 18491097.0,
+ "step": 900
+ },
+ {
+ "entropy": 0.8548173069953918,
+ "epoch": 1.6758747697974217,
+ "grad_norm": 0.8941843509674072,
+ "learning_rate": 9.628378082284479e-05,
+ "loss": 0.06711119413375854,
+ "mean_token_accuracy": 0.9740589797496796,
+ "num_tokens": 18696827.0,
+ "step": 910
+ },
+ {
+ "entropy": 0.8763562262058258,
+ "epoch": 1.694290976058932,
+ "grad_norm": 0.7571700215339661,
+ "learning_rate": 9.616771156461755e-05,
+ "loss": 0.07263468503952027,
+ "mean_token_accuracy": 0.9717419981956482,
+ "num_tokens": 18902513.0,
+ "step": 920
+ },
+ {
+ "entropy": 0.8663733780384064,
+ "epoch": 1.7127071823204418,
+ "grad_norm": 0.7886489629745483,
+ "learning_rate": 9.604992963487298e-05,
+ "loss": 0.07074605226516724,
+ "mean_token_accuracy": 0.9724965393543243,
+ "num_tokens": 19107812.0,
+ "step": 930
+ },
+ {
+ "entropy": 0.8673004627227783,
+ "epoch": 1.7311233885819521,
+ "grad_norm": 0.8180726170539856,
+ "learning_rate": 9.593043940293647e-05,
+ "loss": 0.06831735372543335,
+ "mean_token_accuracy": 0.9733696818351746,
+ "num_tokens": 19313330.0,
+ "step": 940
+ },
+ {
+ "entropy": 0.8525971233844757,
+ "epoch": 1.7495395948434622,
+ "grad_norm": 0.6576228737831116,
+ "learning_rate": 9.580924530150595e-05,
+ "loss": 0.06567002534866333,
+ "mean_token_accuracy": 0.9745754361152649,
+ "num_tokens": 19518671.0,
+ "step": 950
+ },
+ {
+ "entropy": 0.8605451703071594,
+ "epoch": 1.7679558011049723,
+ "grad_norm": 0.7171661257743835,
+ "learning_rate": 9.568635182648725e-05,
+ "loss": 0.06872050762176514,
+ "mean_token_accuracy": 0.9732091546058654,
+ "num_tokens": 19724135.0,
+ "step": 960
+ },
+ {
+ "entropy": 0.8642210960388184,
+ "epoch": 1.7863720073664826,
+ "grad_norm": 0.7603147029876709,
+ "learning_rate": 9.556176353682746e-05,
+ "loss": 0.06766576766967773,
+ "mean_token_accuracy": 0.9728681743144989,
+ "num_tokens": 19928785.0,
+ "step": 970
+ },
+ {
+ "entropy": 0.8543185651302337,
+ "epoch": 1.8047882136279927,
+ "grad_norm": 0.7280875444412231,
+ "learning_rate": 9.543548505434581e-05,
+ "loss": 0.06851862668991089,
+ "mean_token_accuracy": 0.9737437188625335,
+ "num_tokens": 20134195.0,
+ "step": 980
+ },
+ {
+ "entropy": 0.8744745373725891,
+ "epoch": 1.8232044198895028,
+ "grad_norm": 0.5897248983383179,
+ "learning_rate": 9.530752106356209e-05,
+ "loss": 0.06809053421020508,
+ "mean_token_accuracy": 0.9733593761920929,
+ "num_tokens": 20339517.0,
+ "step": 990
+ },
+ {
+ "entropy": 0.8623859465122223,
+ "epoch": 1.8416206261510129,
+ "grad_norm": 0.7515265345573425,
+ "learning_rate": 9.517787631152298e-05,
+ "loss": 0.07257847785949707,
+ "mean_token_accuracy": 0.9714054942131043,
+ "num_tokens": 20545249.0,
+ "step": 1000
+ },
+ {
+ "entropy": 0.8669404804706573,
+ "epoch": 1.860036832412523,
+ "grad_norm": 0.7144560813903809,
+ "learning_rate": 9.504655560762596e-05,
+ "loss": 0.06832354068756104,
+ "mean_token_accuracy": 0.9735779523849487,
+ "num_tokens": 20750507.0,
+ "step": 1010
+ },
+ {
+ "entropy": 0.8493516445159912,
+ "epoch": 1.8784530386740332,
+ "grad_norm": 0.6559189558029175,
+ "learning_rate": 9.491356382344081e-05,
+ "loss": 0.0629766047000885,
+ "mean_token_accuracy": 0.9754977762699127,
+ "num_tokens": 20955956.0,
+ "step": 1020
+ },
+ {
+ "entropy": 0.8599376022815705,
+ "epoch": 1.8968692449355433,
+ "grad_norm": 0.6792973279953003,
+ "learning_rate": 9.477890589252895e-05,
+ "loss": 0.0666757881641388,
+ "mean_token_accuracy": 0.974083811044693,
+ "num_tokens": 21161163.0,
+ "step": 1030
+ },
+ {
+ "entropy": 0.8458438158035279,
+ "epoch": 1.9152854511970534,
+ "grad_norm": 0.6941778659820557,
+ "learning_rate": 9.464258681026042e-05,
+ "loss": 0.06307152509689332,
+ "mean_token_accuracy": 0.9757042229175568,
+ "num_tokens": 21366525.0,
+ "step": 1040
+ },
+ {
+ "entropy": 0.848515909910202,
+ "epoch": 1.9337016574585635,
+ "grad_norm": 0.7307806611061096,
+ "learning_rate": 9.450461163362855e-05,
+ "loss": 0.06307026147842407,
+ "mean_token_accuracy": 0.9750974595546722,
+ "num_tokens": 21572238.0,
+ "step": 1050
+ },
+ {
+ "entropy": 0.8563454031944275,
+ "epoch": 1.9521178637200736,
+ "grad_norm": 0.7222106456756592,
+ "learning_rate": 9.436498548106236e-05,
+ "loss": 0.0647726058959961,
+ "mean_token_accuracy": 0.974629694223404,
+ "num_tokens": 21777633.0,
+ "step": 1060
+ },
+ {
+ "entropy": 0.8656457483768463,
+ "epoch": 1.9705340699815839,
+ "grad_norm": 0.67178875207901,
+ "learning_rate": 9.422371353223674e-05,
+ "loss": 0.06573554277420043,
+ "mean_token_accuracy": 0.9745908617973328,
+ "num_tokens": 21983116.0,
+ "step": 1070
+ },
+ {
+ "entropy": 0.8630891263484954,
+ "epoch": 1.988950276243094,
+ "grad_norm": 0.6956593990325928,
+ "learning_rate": 9.408080102788016e-05,
+ "loss": 0.06630704402923585,
+ "mean_token_accuracy": 0.9741333484649658,
+ "num_tokens": 22188662.0,
+ "step": 1080
+ },
+ {
+ "epoch": 2.0,
+ "eval_entropy": 0.8560857042022373,
+ "eval_loss": 0.06494329869747162,
+ "eval_mean_token_accuracy": 0.9745692672936813,
+ "eval_num_tokens": 22311800.0,
+ "eval_runtime": 10.129,
+ "eval_samples_per_second": 361.142,
+ "eval_steps_per_second": 11.354,
+ "step": 1086
+ },
+ {
+ "entropy": 0.8616272270679474,
+ "epoch": 2.007366482504604,
+ "grad_norm": 0.7778105139732361,
+ "learning_rate": 9.393625326958041e-05,
+ "loss": 0.054407155513763426,
+ "mean_token_accuracy": 0.9792074799537659,
+ "num_tokens": 22394215.0,
+ "step": 1090
+ },
+ {
+ "entropy": 0.8496910452842712,
+ "epoch": 2.0257826887661143,
+ "grad_norm": 0.7422528266906738,
+ "learning_rate": 9.379007561958792e-05,
+ "loss": 0.051881587505340575,
+ "mean_token_accuracy": 0.9799090325832367,
+ "num_tokens": 22599599.0,
+ "step": 1100
+ },
+ {
+ "entropy": 0.8531602442264556,
+ "epoch": 2.044198895027624,
+ "grad_norm": 0.9075332880020142,
+ "learning_rate": 9.36422735006167e-05,
+ "loss": 0.05190724730491638,
+ "mean_token_accuracy": 0.979931116104126,
+ "num_tokens": 22805318.0,
+ "step": 1110
+ },
+ {
+ "entropy": 0.8657277703285218,
+ "epoch": 2.0626151012891345,
+ "grad_norm": 0.9466913938522339,
+ "learning_rate": 9.349285239564325e-05,
+ "loss": 0.053853434324264524,
+ "mean_token_accuracy": 0.9796103596687317,
+ "num_tokens": 23010438.0,
+ "step": 1120
+ },
+ {
+ "entropy": 0.8578485429286957,
+ "epoch": 2.0810313075506444,
+ "grad_norm": 0.6903054714202881,
+ "learning_rate": 9.334181784770326e-05,
+ "loss": 0.05228850841522217,
+ "mean_token_accuracy": 0.9802409887313843,
+ "num_tokens": 23215795.0,
+ "step": 1130
+ },
+ {
+ "entropy": 0.8450767934322357,
+ "epoch": 2.0994475138121547,
+ "grad_norm": 0.6615211367607117,
+ "learning_rate": 9.318917545968581e-05,
+ "loss": 0.050570905208587646,
+ "mean_token_accuracy": 0.9802053451538086,
+ "num_tokens": 23421157.0,
+ "step": 1140
+ },
+ {
+ "entropy": 0.8325044393539429,
+ "epoch": 2.117863720073665,
+ "grad_norm": 0.760960578918457,
+ "learning_rate": 9.303493089412564e-05,
+ "loss": 0.051966112852096555,
+ "mean_token_accuracy": 0.9796205997467041,
+ "num_tokens": 23626584.0,
+ "step": 1150
+ },
+ {
+ "entropy": 0.8416404843330383,
+ "epoch": 2.136279926335175,
+ "grad_norm": 0.6947009563446045,
+ "learning_rate": 9.287908987299306e-05,
+ "loss": 0.05144861936569214,
+ "mean_token_accuracy": 0.9800034642219544,
+ "num_tokens": 23832137.0,
+ "step": 1160
+ },
+ {
+ "entropy": 0.8564540028572083,
+ "epoch": 2.154696132596685,
+ "grad_norm": 0.733252763748169,
+ "learning_rate": 9.272165817748164e-05,
+ "loss": 0.04944799542427063,
+ "mean_token_accuracy": 0.9808157980442047,
+ "num_tokens": 24038006.0,
+ "step": 1170
+ },
+ {
+ "entropy": 0.8575525343418121,
+ "epoch": 2.1731123388581954,
+ "grad_norm": 0.8911028504371643,
+ "learning_rate": 9.25626416477938e-05,
+ "loss": 0.05037952661514282,
+ "mean_token_accuracy": 0.980946284532547,
+ "num_tokens": 24243374.0,
+ "step": 1180
+ },
+ {
+ "entropy": 0.8599720418453216,
+ "epoch": 2.1915285451197053,
+ "grad_norm": 0.7713524103164673,
+ "learning_rate": 9.240204618292416e-05,
+ "loss": 0.050603735446929934,
+ "mean_token_accuracy": 0.980896121263504,
+ "num_tokens": 24448585.0,
+ "step": 1190
+ },
+ {
+ "entropy": 0.8566664934158326,
+ "epoch": 2.2099447513812156,
+ "grad_norm": 0.8439353704452515,
+ "learning_rate": 9.223987774044066e-05,
+ "loss": 0.054171699285507205,
+ "mean_token_accuracy": 0.9796543836593627,
+ "num_tokens": 24653863.0,
+ "step": 1200
+ },
+ {
+ "entropy": 0.846601277589798,
+ "epoch": 2.2283609576427255,
+ "grad_norm": 0.7025637030601501,
+ "learning_rate": 9.207614233626356e-05,
+ "loss": 0.048924127221107484,
+ "mean_token_accuracy": 0.9809681415557862,
+ "num_tokens": 24859801.0,
+ "step": 1210
+ },
+ {
+ "entropy": 0.8564423739910125,
+ "epoch": 2.2467771639042358,
+ "grad_norm": 0.7788274884223938,
+ "learning_rate": 9.191084604444233e-05,
+ "loss": 0.05260283350944519,
+ "mean_token_accuracy": 0.9793797850608825,
+ "num_tokens": 25065368.0,
+ "step": 1220
+ },
+ {
+ "entropy": 0.865056723356247,
+ "epoch": 2.265193370165746,
+ "grad_norm": 0.8728818297386169,
+ "learning_rate": 9.174399499693027e-05,
+ "loss": 0.05016371011734009,
+ "mean_token_accuracy": 0.9807134211063385,
+ "num_tokens": 25270945.0,
+ "step": 1230
+ },
+ {
+ "entropy": 0.8642262935638427,
+ "epoch": 2.283609576427256,
+ "grad_norm": 1.0582489967346191,
+ "learning_rate": 9.157559538335703e-05,
+ "loss": 0.05316779017448425,
+ "mean_token_accuracy": 0.9794209063053131,
+ "num_tokens": 25476575.0,
+ "step": 1240
+ },
+ {
+ "entropy": 0.8677761554718018,
+ "epoch": 2.3020257826887662,
+ "grad_norm": 0.760109543800354,
+ "learning_rate": 9.140565345079901e-05,
+ "loss": 0.05115479230880737,
+ "mean_token_accuracy": 0.9802310705184937,
+ "num_tokens": 25682814.0,
+ "step": 1250
+ },
+ {
+ "entropy": 0.8592945456504821,
+ "epoch": 2.320441988950276,
+ "grad_norm": 0.6537907123565674,
+ "learning_rate": 9.123417550354761e-05,
+ "loss": 0.050543540716171266,
+ "mean_token_accuracy": 0.9806945025920868,
+ "num_tokens": 25887575.0,
+ "step": 1260
+ },
+ {
+ "entropy": 0.8692500293254852,
+ "epoch": 2.3388581952117864,
+ "grad_norm": 0.7771905064582825,
+ "learning_rate": 9.106116790287541e-05,
+ "loss": 0.049718713760375975,
+ "mean_token_accuracy": 0.9805168390274048,
+ "num_tokens": 26092950.0,
+ "step": 1270
+ },
+ {
+ "entropy": 0.8841261565685272,
+ "epoch": 2.3572744014732967,
+ "grad_norm": 0.7791076898574829,
+ "learning_rate": 9.08866370668001e-05,
+ "loss": 0.0527400553226471,
+ "mean_token_accuracy": 0.9796754539012908,
+ "num_tokens": 26298182.0,
+ "step": 1280
+ },
+ {
+ "entropy": 0.8675022900104523,
+ "epoch": 2.3756906077348066,
+ "grad_norm": 0.8481605648994446,
+ "learning_rate": 9.07105894698464e-05,
+ "loss": 0.05320838689804077,
+ "mean_token_accuracy": 0.9792274832725525,
+ "num_tokens": 26503425.0,
+ "step": 1290
+ },
+ {
+ "entropy": 0.8704026222229004,
+ "epoch": 2.394106813996317,
+ "grad_norm": 0.8235505819320679,
+ "learning_rate": 9.053303164280602e-05,
+ "loss": 0.055045205354690555,
+ "mean_token_accuracy": 0.9788750648498535,
+ "num_tokens": 26708755.0,
+ "step": 1300
+ },
+ {
+ "entropy": 0.8525134027004242,
+ "epoch": 2.4125230202578267,
+ "grad_norm": 0.7611598968505859,
+ "learning_rate": 9.035397017249518e-05,
+ "loss": 0.05029621124267578,
+ "mean_token_accuracy": 0.9802757322788238,
+ "num_tokens": 26914704.0,
+ "step": 1310
+ },
+ {
+ "entropy": 0.8630305290222168,
+ "epoch": 2.430939226519337,
+ "grad_norm": 0.790408194065094,
+ "learning_rate": 9.017341170151041e-05,
+ "loss": 0.04856040775775909,
+ "mean_token_accuracy": 0.9809690833091735,
+ "num_tokens": 27120151.0,
+ "step": 1320
+ },
+ {
+ "entropy": 0.8579159140586853,
+ "epoch": 2.4493554327808473,
+ "grad_norm": 0.781972348690033,
+ "learning_rate": 8.999136292798207e-05,
+ "loss": 0.04869682788848877,
+ "mean_token_accuracy": 0.9816130697727203,
+ "num_tokens": 27325673.0,
+ "step": 1330
+ },
+ {
+ "entropy": 0.8634716987609863,
+ "epoch": 2.467771639042357,
+ "grad_norm": 0.8500784039497375,
+ "learning_rate": 8.980783060532588e-05,
+ "loss": 0.05050289034843445,
+ "mean_token_accuracy": 0.980079609155655,
+ "num_tokens": 27531270.0,
+ "step": 1340
+ },
+ {
+ "entropy": 0.8660618126392364,
+ "epoch": 2.4861878453038675,
+ "grad_norm": 0.719760537147522,
+ "learning_rate": 8.96228215419924e-05,
+ "loss": 0.04892141819000244,
+ "mean_token_accuracy": 0.9814020991325378,
+ "num_tokens": 27736542.0,
+ "step": 1350
+ },
+ {
+ "entropy": 0.8572284400463104,
+ "epoch": 2.5046040515653774,
+ "grad_norm": 1.0197229385375977,
+ "learning_rate": 8.943634260121442e-05,
+ "loss": 0.05104702711105347,
+ "mean_token_accuracy": 0.9798846662044525,
+ "num_tokens": 27941566.0,
+ "step": 1360
+ },
+ {
+ "entropy": 0.8702241241931915,
+ "epoch": 2.5230202578268877,
+ "grad_norm": 0.7136003375053406,
+ "learning_rate": 8.924840070075247e-05,
+ "loss": 0.04855787754058838,
+ "mean_token_accuracy": 0.9811685383319855,
+ "num_tokens": 28146943.0,
+ "step": 1370
+ },
+ {
+ "entropy": 0.874957013130188,
+ "epoch": 2.541436464088398,
+ "grad_norm": 0.8775497674942017,
+ "learning_rate": 8.905900281263804e-05,
+ "loss": 0.052434295415878296,
+ "mean_token_accuracy": 0.9795438170433044,
+ "num_tokens": 28352640.0,
+ "step": 1380
+ },
+ {
+ "entropy": 0.8776536166667939,
+ "epoch": 2.559852670349908,
+ "grad_norm": 0.8895741105079651,
+ "learning_rate": 8.8868155962915e-05,
+ "loss": 0.05282890796661377,
+ "mean_token_accuracy": 0.9790538609027862,
+ "num_tokens": 28558153.0,
+ "step": 1390
+ },
+ {
+ "entropy": 0.8738743245601654,
+ "epoch": 2.578268876611418,
+ "grad_norm": 0.788800060749054,
+ "learning_rate": 8.867586723137906e-05,
+ "loss": 0.048841872811317445,
+ "mean_token_accuracy": 0.9809149026870727,
+ "num_tokens": 28763613.0,
+ "step": 1400
+ },
+ {
+ "entropy": 0.8750253796577454,
+ "epoch": 2.596685082872928,
+ "grad_norm": 0.8738002777099609,
+ "learning_rate": 8.848214375131497e-05,
+ "loss": 0.048261132836341855,
+ "mean_token_accuracy": 0.980789190530777,
+ "num_tokens": 28969248.0,
+ "step": 1410
+ },
+ {
+ "entropy": 0.8624245524406433,
+ "epoch": 2.6151012891344383,
+ "grad_norm": 0.6404895186424255,
+ "learning_rate": 8.828699270923196e-05,
+ "loss": 0.04970468282699585,
+ "mean_token_accuracy": 0.9807762265205383,
+ "num_tokens": 29174779.0,
+ "step": 1420
+ },
+ {
+ "entropy": 0.8792938470840455,
+ "epoch": 2.6335174953959486,
+ "grad_norm": 0.7856965661048889,
+ "learning_rate": 8.80904213445972e-05,
+ "loss": 0.053334391117095946,
+ "mean_token_accuracy": 0.9790222108364105,
+ "num_tokens": 29380474.0,
+ "step": 1430
+ },
+ {
+ "entropy": 0.8831034600734711,
+ "epoch": 2.6519337016574585,
+ "grad_norm": 0.7739618420600891,
+ "learning_rate": 8.789243694956716e-05,
+ "loss": 0.04959054589271546,
+ "mean_token_accuracy": 0.9803965091705322,
+ "num_tokens": 29585985.0,
+ "step": 1440
+ },
+ {
+ "entropy": 0.8934672951698304,
+ "epoch": 2.6703499079189688,
+ "grad_norm": 0.6999697089195251,
+ "learning_rate": 8.769304686871719e-05,
+ "loss": 0.05165250301361084,
+ "mean_token_accuracy": 0.9798884153366089,
+ "num_tokens": 29791238.0,
+ "step": 1450
+ },
+ {
+ "entropy": 0.9053199410438537,
+ "epoch": 2.6887661141804786,
+ "grad_norm": 0.9199564456939697,
+ "learning_rate": 8.749225849876892e-05,
+ "loss": 0.04924143850803375,
+ "mean_token_accuracy": 0.9810785710811615,
+ "num_tokens": 29996589.0,
+ "step": 1460
+ },
+ {
+ "entropy": 0.888091403245926,
+ "epoch": 2.707182320441989,
+ "grad_norm": 0.7480106353759766,
+ "learning_rate": 8.729007928831597e-05,
+ "loss": 0.04948916733264923,
+ "mean_token_accuracy": 0.9809579730033875,
+ "num_tokens": 30201875.0,
+ "step": 1470
+ },
+ {
+ "entropy": 0.8723407983779907,
+ "epoch": 2.7255985267034992,
+ "grad_norm": 0.9506945013999939,
+ "learning_rate": 8.708651673754763e-05,
+ "loss": 0.048927539587020875,
+ "mean_token_accuracy": 0.980553150177002,
+ "num_tokens": 30407550.0,
+ "step": 1480
+ },
+ {
+ "entropy": 0.8737521529197693,
+ "epoch": 2.744014732965009,
+ "grad_norm": 0.8015706539154053,
+ "learning_rate": 8.688157839797062e-05,
+ "loss": 0.04963063597679138,
+ "mean_token_accuracy": 0.9809738755226135,
+ "num_tokens": 30612839.0,
+ "step": 1490
+ },
+ {
+ "entropy": 0.8800762951374054,
+ "epoch": 2.7624309392265194,
+ "grad_norm": 0.9429986476898193,
+ "learning_rate": 8.667527187212885e-05,
+ "loss": 0.0524174690246582,
+ "mean_token_accuracy": 0.9788767337799072,
+ "num_tokens": 30818578.0,
+ "step": 1500
+ },
+ {
+ "entropy": 0.8871055901050567,
+ "epoch": 2.7808471454880292,
+ "grad_norm": 0.5909196138381958,
+ "learning_rate": 8.646760481332157e-05,
+ "loss": 0.05166680812835693,
+ "mean_token_accuracy": 0.980216771364212,
+ "num_tokens": 31023829.0,
+ "step": 1510
+ },
+ {
+ "entropy": 0.8908755779266357,
+ "epoch": 2.7992633517495396,
+ "grad_norm": 0.9154611229896545,
+ "learning_rate": 8.625858492531931e-05,
+ "loss": 0.04951836466789246,
+ "mean_token_accuracy": 0.9801484227180481,
+ "num_tokens": 31229635.0,
+ "step": 1520
+ },
+ {
+ "entropy": 0.92480548620224,
+ "epoch": 2.81767955801105,
+ "grad_norm": 0.5989938378334045,
+ "learning_rate": 8.604821996207819e-05,
+ "loss": 0.04799881279468536,
+ "mean_token_accuracy": 0.9817522585391998,
+ "num_tokens": 31435456.0,
+ "step": 1530
+ },
+ {
+ "entropy": 0.9173881888389588,
+ "epoch": 2.8360957642725597,
+ "grad_norm": 0.899413526058197,
+ "learning_rate": 8.58365177274522e-05,
+ "loss": 0.0487445592880249,
+ "mean_token_accuracy": 0.9812625288963318,
+ "num_tokens": 31640904.0,
+ "step": 1540
+ },
+ {
+ "entropy": 0.9076135993003845,
+ "epoch": 2.85451197053407,
+ "grad_norm": 0.8494166135787964,
+ "learning_rate": 8.562348607490376e-05,
+ "loss": 0.05005228519439697,
+ "mean_token_accuracy": 0.9806681036949157,
+ "num_tokens": 31845807.0,
+ "step": 1550
+ },
+ {
+ "entropy": 0.9092245221138,
+ "epoch": 2.87292817679558,
+ "grad_norm": 0.8225123286247253,
+ "learning_rate": 8.540913290721234e-05,
+ "loss": 0.048654764890670776,
+ "mean_token_accuracy": 0.9805659353733063,
+ "num_tokens": 32051523.0,
+ "step": 1560
+ },
+ {
+ "entropy": 0.9062779664993286,
+ "epoch": 2.89134438305709,
+ "grad_norm": 0.7074014544487,
+ "learning_rate": 8.519346617618134e-05,
+ "loss": 0.049209845066070554,
+ "mean_token_accuracy": 0.9807434439659118,
+ "num_tokens": 32256895.0,
+ "step": 1570
+ },
+ {
+ "entropy": 0.9190246641635895,
+ "epoch": 2.9097605893186005,
+ "grad_norm": 0.8860642910003662,
+ "learning_rate": 8.497649388234304e-05,
+ "loss": 0.051211881637573245,
+ "mean_token_accuracy": 0.9802342295646668,
+ "num_tokens": 32462031.0,
+ "step": 1580
+ },
+ {
+ "entropy": 0.9088015079498291,
+ "epoch": 2.9281767955801103,
+ "grad_norm": 0.8062726855278015,
+ "learning_rate": 8.475822407466188e-05,
+ "loss": 0.053512704372406,
+ "mean_token_accuracy": 0.979486483335495,
+ "num_tokens": 32667533.0,
+ "step": 1590
+ },
+ {
+ "entropy": 0.9462027847766876,
+ "epoch": 2.9465930018416207,
+ "grad_norm": 0.7962909936904907,
+ "learning_rate": 8.453866485023579e-05,
+ "loss": 0.0501457154750824,
+ "mean_token_accuracy": 0.9803222417831421,
+ "num_tokens": 32872900.0,
+ "step": 1600
+ },
+ {
+ "entropy": 0.9671471297740937,
+ "epoch": 2.9650092081031305,
+ "grad_norm": 0.7641744017601013,
+ "learning_rate": 8.431782435399587e-05,
+ "loss": 0.04629061222076416,
+ "mean_token_accuracy": 0.9823175370693207,
+ "num_tokens": 33077850.0,
+ "step": 1610
+ },
+ {
+ "entropy": 0.955865204334259,
+ "epoch": 2.983425414364641,
+ "grad_norm": 0.6772348880767822,
+ "learning_rate": 8.409571077840426e-05,
+ "loss": 0.048368623852729796,
+ "mean_token_accuracy": 0.9808700799942016,
+ "num_tokens": 33283117.0,
+ "step": 1620
+ },
+ {
+ "epoch": 3.0,
+ "eval_entropy": 0.9563225186389426,
+ "eval_loss": 0.059064481407403946,
+ "eval_mean_token_accuracy": 0.9773589429648026,
+ "eval_num_tokens": 33467712.0,
+ "eval_runtime": 10.1471,
+ "eval_samples_per_second": 360.499,
+ "eval_steps_per_second": 11.333,
+ "step": 1629
+ },
+ {
+ "entropy": 0.9337226033210755,
+ "epoch": 3.001841620626151,
+ "grad_norm": 0.646203875541687,
+ "learning_rate": 8.387233236315016e-05,
+ "loss": 0.043352216482162476,
+ "mean_token_accuracy": 0.9830620110034942,
+ "num_tokens": 33488302.0,
+ "step": 1630
+ },
+ {
+ "entropy": 0.9734923839569092,
+ "epoch": 3.020257826887661,
+ "grad_norm": 0.7564226984977722,
+ "learning_rate": 8.364769739484416e-05,
+ "loss": 0.033932483196258544,
+ "mean_token_accuracy": 0.9872806966304779,
+ "num_tokens": 33693531.0,
+ "step": 1640
+ },
+ {
+ "entropy": 0.9669206500053406,
+ "epoch": 3.0386740331491713,
+ "grad_norm": 0.7126886248588562,
+ "learning_rate": 8.342181420671096e-05,
+ "loss": 0.03818287253379822,
+ "mean_token_accuracy": 0.9852082908153534,
+ "num_tokens": 33899305.0,
+ "step": 1650
+ },
+ {
+ "entropy": 0.9522916138172149,
+ "epoch": 3.0570902394106816,
+ "grad_norm": 1.0571653842926025,
+ "learning_rate": 8.319469117828007e-05,
+ "loss": 0.03456039130687714,
+ "mean_token_accuracy": 0.9867027878761292,
+ "num_tokens": 34104585.0,
+ "step": 1660
+ },
+ {
+ "entropy": 0.9568560004234314,
+ "epoch": 3.0755064456721914,
+ "grad_norm": 0.780940592288971,
+ "learning_rate": 8.296633673507505e-05,
+ "loss": 0.03551802039146423,
+ "mean_token_accuracy": 0.9867531359195709,
+ "num_tokens": 34309516.0,
+ "step": 1670
+ },
+ {
+ "entropy": 0.9590656876564025,
+ "epoch": 3.0939226519337018,
+ "grad_norm": 0.8330219388008118,
+ "learning_rate": 8.273675934830094e-05,
+ "loss": 0.03674865961074829,
+ "mean_token_accuracy": 0.9864118576049805,
+ "num_tokens": 34515170.0,
+ "step": 1680
+ },
+ {
+ "entropy": 0.975881814956665,
+ "epoch": 3.1123388581952116,
+ "grad_norm": 0.7010637521743774,
+ "learning_rate": 8.250596753453e-05,
+ "loss": 0.03550414443016052,
+ "mean_token_accuracy": 0.9864102602005005,
+ "num_tokens": 34720896.0,
+ "step": 1690
+ },
+ {
+ "entropy": 0.9599562883377075,
+ "epoch": 3.130755064456722,
+ "grad_norm": 0.6694278717041016,
+ "learning_rate": 8.227396985538578e-05,
+ "loss": 0.035564273595809937,
+ "mean_token_accuracy": 0.9867321848869324,
+ "num_tokens": 34925970.0,
+ "step": 1700
+ },
+ {
+ "entropy": 0.9582216143608093,
+ "epoch": 3.149171270718232,
+ "grad_norm": 0.9333199262619019,
+ "learning_rate": 8.204077491722546e-05,
+ "loss": 0.035575729608535764,
+ "mean_token_accuracy": 0.9862452208995819,
+ "num_tokens": 35131543.0,
+ "step": 1710
+ },
+ {
+ "entropy": 0.9579678058624268,
+ "epoch": 3.167587476979742,
+ "grad_norm": 0.9450218081474304,
+ "learning_rate": 8.180639137082066e-05,
+ "loss": 0.0385298490524292,
+ "mean_token_accuracy": 0.98538036942482,
+ "num_tokens": 35336790.0,
+ "step": 1720
+ },
+ {
+ "entropy": 0.9640831351280212,
+ "epoch": 3.1860036832412524,
+ "grad_norm": 0.8551534414291382,
+ "learning_rate": 8.157082791103649e-05,
+ "loss": 0.03702138364315033,
+ "mean_token_accuracy": 0.9852015495300293,
+ "num_tokens": 35542294.0,
+ "step": 1730
+ },
+ {
+ "entropy": 0.9867071211338043,
+ "epoch": 3.2044198895027622,
+ "grad_norm": 0.7138128876686096,
+ "learning_rate": 8.133409327650897e-05,
+ "loss": 0.035626694560050964,
+ "mean_token_accuracy": 0.986064875125885,
+ "num_tokens": 35747447.0,
+ "step": 1740
+ },
+ {
+ "entropy": 0.9639089345932007,
+ "epoch": 3.2228360957642725,
+ "grad_norm": 0.7131415009498596,
+ "learning_rate": 8.109619624932092e-05,
+ "loss": 0.035885071754455565,
+ "mean_token_accuracy": 0.986273056268692,
+ "num_tokens": 35952258.0,
+ "step": 1750
+ },
+ {
+ "entropy": 0.9516046345233917,
+ "epoch": 3.241252302025783,
+ "grad_norm": 0.6900200843811035,
+ "learning_rate": 8.085714565467611e-05,
+ "loss": 0.03535219430923462,
+ "mean_token_accuracy": 0.985836285352707,
+ "num_tokens": 36157938.0,
+ "step": 1760
+ },
+ {
+ "entropy": 0.9373646557331086,
+ "epoch": 3.2596685082872927,
+ "grad_norm": 0.6101690530776978,
+ "learning_rate": 8.061695036057191e-05,
+ "loss": 0.034940996766090394,
+ "mean_token_accuracy": 0.9863743901252746,
+ "num_tokens": 36363825.0,
+ "step": 1770
+ },
+ {
+ "entropy": 0.9444344758987426,
+ "epoch": 3.278084714548803,
+ "grad_norm": 0.7518529295921326,
+ "learning_rate": 8.03756192774703e-05,
+ "loss": 0.03404279053211212,
+ "mean_token_accuracy": 0.9866396844387054,
+ "num_tokens": 36568961.0,
+ "step": 1780
+ },
+ {
+ "entropy": 0.9550357758998871,
+ "epoch": 3.2965009208103133,
+ "grad_norm": 0.7687555551528931,
+ "learning_rate": 8.013316135796734e-05,
+ "loss": 0.038447052240371704,
+ "mean_token_accuracy": 0.985325163602829,
+ "num_tokens": 36774514.0,
+ "step": 1790
+ },
+ {
+ "entropy": 0.9477231681346894,
+ "epoch": 3.314917127071823,
+ "grad_norm": 0.7521633505821228,
+ "learning_rate": 7.988958559646102e-05,
+ "loss": 0.03746694028377533,
+ "mean_token_accuracy": 0.9853165090084076,
+ "num_tokens": 36979660.0,
+ "step": 1800
+ },
+ {
+ "entropy": 0.925805002450943,
+ "epoch": 3.3333333333333335,
+ "grad_norm": 0.9333297610282898,
+ "learning_rate": 7.964490102881768e-05,
+ "loss": 0.03700103759765625,
+ "mean_token_accuracy": 0.9850880861282348,
+ "num_tokens": 37185191.0,
+ "step": 1810
+ },
+ {
+ "entropy": 0.9225482225418091,
+ "epoch": 3.3517495395948433,
+ "grad_norm": 0.7928622961044312,
+ "learning_rate": 7.939911673203665e-05,
+ "loss": 0.03825801610946655,
+ "mean_token_accuracy": 0.9850241422653199,
+ "num_tokens": 37390749.0,
+ "step": 1820
+ },
+ {
+ "entropy": 0.9597147881984711,
+ "epoch": 3.3701657458563536,
+ "grad_norm": 0.7658583521842957,
+ "learning_rate": 7.915224182391375e-05,
+ "loss": 0.039855146408081056,
+ "mean_token_accuracy": 0.9845879554748536,
+ "num_tokens": 37596052.0,
+ "step": 1830
+ },
+ {
+ "entropy": 0.9485619068145752,
+ "epoch": 3.388581952117864,
+ "grad_norm": 0.8492130637168884,
+ "learning_rate": 7.890428546270278e-05,
+ "loss": 0.039359599351882935,
+ "mean_token_accuracy": 0.9847265422344208,
+ "num_tokens": 37802063.0,
+ "step": 1840
+ },
+ {
+ "entropy": 0.9670301914215088,
+ "epoch": 3.406998158379374,
+ "grad_norm": 0.7527599930763245,
+ "learning_rate": 7.865525684677608e-05,
+ "loss": 0.03752985596656799,
+ "mean_token_accuracy": 0.9855137526988983,
+ "num_tokens": 38007432.0,
+ "step": 1850
+ },
+ {
+ "entropy": 0.9681244969367981,
+ "epoch": 3.425414364640884,
+ "grad_norm": 0.7599612474441528,
+ "learning_rate": 7.840516521428303e-05,
+ "loss": 0.03653894364833832,
+ "mean_token_accuracy": 0.9858933389186859,
+ "num_tokens": 38212923.0,
+ "step": 1860
+ },
+ {
+ "entropy": 0.9706049561500549,
+ "epoch": 3.443830570902394,
+ "grad_norm": 0.7678127884864807,
+ "learning_rate": 7.815401984280748e-05,
+ "loss": 0.0366938978433609,
+ "mean_token_accuracy": 0.9854713797569274,
+ "num_tokens": 38418422.0,
+ "step": 1870
+ },
+ {
+ "entropy": 0.9637093842029572,
+ "epoch": 3.4622467771639043,
+ "grad_norm": 0.762824535369873,
+ "learning_rate": 7.790183004902359e-05,
+ "loss": 0.03516915142536163,
+ "mean_token_accuracy": 0.9866003453731537,
+ "num_tokens": 38624389.0,
+ "step": 1880
+ },
+ {
+ "entropy": 0.9373565018177032,
+ "epoch": 3.4806629834254146,
+ "grad_norm": 0.8221780061721802,
+ "learning_rate": 7.764860518835014e-05,
+ "loss": 0.04049026966094971,
+ "mean_token_accuracy": 0.984089481830597,
+ "num_tokens": 38829654.0,
+ "step": 1890
+ },
+ {
+ "entropy": 0.9356025457382202,
+ "epoch": 3.4990791896869244,
+ "grad_norm": 0.7583426237106323,
+ "learning_rate": 7.739435465460356e-05,
+ "loss": 0.03658481240272522,
+ "mean_token_accuracy": 0.9857318818569183,
+ "num_tokens": 39034638.0,
+ "step": 1900
+ },
+ {
+ "entropy": 0.9740163326263428,
+ "epoch": 3.5174953959484347,
+ "grad_norm": 0.7332878112792969,
+ "learning_rate": 7.713908787964937e-05,
+ "loss": 0.03508963882923126,
+ "mean_token_accuracy": 0.9863419532775879,
+ "num_tokens": 39240265.0,
+ "step": 1910
+ },
+ {
+ "entropy": 0.9528286933898926,
+ "epoch": 3.5359116022099446,
+ "grad_norm": 0.6515451669692993,
+ "learning_rate": 7.688281433305233e-05,
+ "loss": 0.036055779457092284,
+ "mean_token_accuracy": 0.9860979080200195,
+ "num_tokens": 39445546.0,
+ "step": 1920
+ },
+ {
+ "entropy": 0.9480705261230469,
+ "epoch": 3.554327808471455,
+ "grad_norm": 0.7725827097892761,
+ "learning_rate": 7.662554352172515e-05,
+ "loss": 0.037101513147354125,
+ "mean_token_accuracy": 0.985782790184021,
+ "num_tokens": 39651078.0,
+ "step": 1930
+ },
+ {
+ "entropy": 0.9655321061611175,
+ "epoch": 3.572744014732965,
+ "grad_norm": 0.7756506204605103,
+ "learning_rate": 7.636728498957581e-05,
+ "loss": 0.03721855878829956,
+ "mean_token_accuracy": 0.9857951939105988,
+ "num_tokens": 39856542.0,
+ "step": 1940
+ },
+ {
+ "entropy": 0.9772682309150695,
+ "epoch": 3.591160220994475,
+ "grad_norm": 0.9084987640380859,
+ "learning_rate": 7.610804831715355e-05,
+ "loss": 0.03570749163627625,
+ "mean_token_accuracy": 0.9863450109958649,
+ "num_tokens": 40061913.0,
+ "step": 1950
+ },
+ {
+ "entropy": 0.9579685389995575,
+ "epoch": 3.6095764272559854,
+ "grad_norm": 0.6358487606048584,
+ "learning_rate": 7.584784312129334e-05,
+ "loss": 0.038210684061050416,
+ "mean_token_accuracy": 0.9850837290287018,
+ "num_tokens": 40267398.0,
+ "step": 1960
+ },
+ {
+ "entropy": 0.9605201721191406,
+ "epoch": 3.6279926335174952,
+ "grad_norm": 0.6263149976730347,
+ "learning_rate": 7.558667905475927e-05,
+ "loss": 0.03509160876274109,
+ "mean_token_accuracy": 0.9868143379688263,
+ "num_tokens": 40472827.0,
+ "step": 1970
+ },
+ {
+ "entropy": 0.964026153087616,
+ "epoch": 3.6464088397790055,
+ "grad_norm": 0.90068119764328,
+ "learning_rate": 7.532456580588638e-05,
+ "loss": 0.036211782693862916,
+ "mean_token_accuracy": 0.9858468770980835,
+ "num_tokens": 40677935.0,
+ "step": 1980
+ },
+ {
+ "entropy": 0.9494135618209839,
+ "epoch": 3.664825046040516,
+ "grad_norm": 0.760134756565094,
+ "learning_rate": 7.50615130982213e-05,
+ "loss": 0.03786201477050781,
+ "mean_token_accuracy": 0.9852500438690186,
+ "num_tokens": 40883750.0,
+ "step": 1990
+ },
+ {
+ "entropy": 0.9527071297168732,
+ "epoch": 3.6832412523020257,
+ "grad_norm": 0.9812107682228088,
+ "learning_rate": 7.479753069016152e-05,
+ "loss": 0.03803159594535828,
+ "mean_token_accuracy": 0.9852405369281769,
+ "num_tokens": 41089115.0,
+ "step": 2000
+ },
+ {
+ "entropy": 0.9639330863952636,
+ "epoch": 3.701657458563536,
+ "grad_norm": 0.7164933681488037,
+ "learning_rate": 7.453262837459332e-05,
+ "loss": 0.03912568986415863,
+ "mean_token_accuracy": 0.9849458575248718,
+ "num_tokens": 41294694.0,
+ "step": 2010
+ },
+ {
+ "entropy": 0.9536987483501435,
+ "epoch": 3.720073664825046,
+ "grad_norm": 0.6804596185684204,
+ "learning_rate": 7.426681597852863e-05,
+ "loss": 0.036410006880760196,
+ "mean_token_accuracy": 0.985712206363678,
+ "num_tokens": 41499817.0,
+ "step": 2020
+ },
+ {
+ "entropy": 0.9478164672851562,
+ "epoch": 3.738489871086556,
+ "grad_norm": 0.8799397349357605,
+ "learning_rate": 7.400010336274037e-05,
+ "loss": 0.03801035583019256,
+ "mean_token_accuracy": 0.9850274682044983,
+ "num_tokens": 41704932.0,
+ "step": 2030
+ },
+ {
+ "entropy": 0.9383447647094727,
+ "epoch": 3.7569060773480665,
+ "grad_norm": 0.8386216163635254,
+ "learning_rate": 7.373250042139664e-05,
+ "loss": 0.0373637855052948,
+ "mean_token_accuracy": 0.9854822158813477,
+ "num_tokens": 41910804.0,
+ "step": 2040
+ },
+ {
+ "entropy": 0.925172996520996,
+ "epoch": 3.7753222836095763,
+ "grad_norm": 0.7599324584007263,
+ "learning_rate": 7.346401708169377e-05,
+ "loss": 0.03585260808467865,
+ "mean_token_accuracy": 0.9860672950744629,
+ "num_tokens": 42116706.0,
+ "step": 2050
+ },
+ {
+ "entropy": 0.9463765442371368,
+ "epoch": 3.7937384898710866,
+ "grad_norm": 0.9030149579048157,
+ "learning_rate": 7.319466330348797e-05,
+ "loss": 0.035877206921577455,
+ "mean_token_accuracy": 0.9863968968391419,
+ "num_tokens": 42322670.0,
+ "step": 2060
+ },
+ {
+ "entropy": 0.9942441761493683,
+ "epoch": 3.8121546961325965,
+ "grad_norm": 0.6400449275970459,
+ "learning_rate": 7.292444907892587e-05,
+ "loss": 0.037310433387756345,
+ "mean_token_accuracy": 0.9854151606559753,
+ "num_tokens": 42527752.0,
+ "step": 2070
+ },
+ {
+ "entropy": 0.9577703952789307,
+ "epoch": 3.830570902394107,
+ "grad_norm": 0.6193167567253113,
+ "learning_rate": 7.265338443207387e-05,
+ "loss": 0.03648848831653595,
+ "mean_token_accuracy": 0.9856530070304871,
+ "num_tokens": 42732981.0,
+ "step": 2080
+ },
+ {
+ "entropy": 0.9663952767848969,
+ "epoch": 3.848987108655617,
+ "grad_norm": 0.759611189365387,
+ "learning_rate": 7.238147941854625e-05,
+ "loss": 0.036112996935844424,
+ "mean_token_accuracy": 0.9862765550613404,
+ "num_tokens": 42938619.0,
+ "step": 2090
+ },
+ {
+ "entropy": 0.9484863519668579,
+ "epoch": 3.867403314917127,
+ "grad_norm": 0.7420705556869507,
+ "learning_rate": 7.210874412513218e-05,
+ "loss": 0.03703283965587616,
+ "mean_token_accuracy": 0.9857317566871643,
+ "num_tokens": 43143753.0,
+ "step": 2100
+ },
+ {
+ "entropy": 0.964326673746109,
+ "epoch": 3.8858195211786373,
+ "grad_norm": 0.8779639601707458,
+ "learning_rate": 7.183518866942147e-05,
+ "loss": 0.03739701807498932,
+ "mean_token_accuracy": 0.9852154791355133,
+ "num_tokens": 43349451.0,
+ "step": 2110
+ },
+ {
+ "entropy": 0.9729791641235351,
+ "epoch": 3.904235727440147,
+ "grad_norm": 0.7582741379737854,
+ "learning_rate": 7.156082319942929e-05,
+ "loss": 0.03894525766372681,
+ "mean_token_accuracy": 0.9847454309463501,
+ "num_tokens": 43554598.0,
+ "step": 2120
+ },
+ {
+ "entropy": 0.9860592544078827,
+ "epoch": 3.9226519337016574,
+ "grad_norm": 0.860698938369751,
+ "learning_rate": 7.128565789321969e-05,
+ "loss": 0.0365300178527832,
+ "mean_token_accuracy": 0.9859121859073638,
+ "num_tokens": 43760081.0,
+ "step": 2130
+ },
+ {
+ "entropy": 0.9916551172733307,
+ "epoch": 3.9410681399631677,
+ "grad_norm": 0.8363776206970215,
+ "learning_rate": 7.100970295852805e-05,
+ "loss": 0.036221379041671754,
+ "mean_token_accuracy": 0.9859034180641174,
+ "num_tokens": 43965432.0,
+ "step": 2140
+ },
+ {
+ "entropy": 0.9553558886051178,
+ "epoch": 3.9594843462246776,
+ "grad_norm": 0.9627474546432495,
+ "learning_rate": 7.073296863238242e-05,
+ "loss": 0.03684481382369995,
+ "mean_token_accuracy": 0.9857315957546234,
+ "num_tokens": 44171232.0,
+ "step": 2150
+ },
+ {
+ "entropy": 0.9538035809993743,
+ "epoch": 3.977900552486188,
+ "grad_norm": 0.8399474620819092,
+ "learning_rate": 7.045546518072366e-05,
+ "loss": 0.03825397789478302,
+ "mean_token_accuracy": 0.9846831560134888,
+ "num_tokens": 44376723.0,
+ "step": 2160
+ },
+ {
+ "entropy": 0.9476235210895538,
+ "epoch": 3.9963167587476978,
+ "grad_norm": 0.708739697933197,
+ "learning_rate": 7.017720289802472e-05,
+ "loss": 0.03618018329143524,
+ "mean_token_accuracy": 0.9861325800418854,
+ "num_tokens": 44582407.0,
+ "step": 2170
+ },
+ {
+ "epoch": 4.0,
+ "eval_entropy": 0.9569619194321011,
+ "eval_loss": 0.059838198125362396,
+ "eval_mean_token_accuracy": 0.9777795366618944,
+ "eval_num_tokens": 44623647.0,
+ "eval_runtime": 10.0379,
+ "eval_samples_per_second": 364.42,
+ "eval_steps_per_second": 11.457,
+ "step": 2172
+ },
+ {
+ "entropy": 0.9558675646781921,
+ "epoch": 4.014732965009208,
+ "grad_norm": 0.7347508668899536,
+ "learning_rate": 6.989819210690872e-05,
+ "loss": 0.02886659502983093,
+ "mean_token_accuracy": 0.9892994821071625,
+ "num_tokens": 44788219.0,
+ "step": 2180
+ },
+ {
+ "entropy": 1.0037677466869355,
+ "epoch": 4.033149171270718,
+ "grad_norm": 0.7403206825256348,
+ "learning_rate": 6.961844315776596e-05,
+ "loss": 0.02395295798778534,
+ "mean_token_accuracy": 0.9906026899814606,
+ "num_tokens": 44993505.0,
+ "step": 2190
+ },
+ {
+ "entropy": 1.0068290829658508,
+ "epoch": 4.051565377532229,
+ "grad_norm": 0.7979726195335388,
+ "learning_rate": 6.933796642837003e-05,
+ "loss": 0.02605988085269928,
+ "mean_token_accuracy": 0.9899706900119781,
+ "num_tokens": 45199193.0,
+ "step": 2200
+ },
+ {
+ "entropy": 0.9942211747169495,
+ "epoch": 4.069981583793738,
+ "grad_norm": 0.6460402011871338,
+ "learning_rate": 6.905677232349278e-05,
+ "loss": 0.025350230932235717,
+ "mean_token_accuracy": 0.9899386286735534,
+ "num_tokens": 45404030.0,
+ "step": 2210
+ },
+ {
+ "entropy": 0.9783595442771912,
+ "epoch": 4.088397790055248,
+ "grad_norm": 0.8177055716514587,
+ "learning_rate": 6.877487127451834e-05,
+ "loss": 0.02696993052959442,
+ "mean_token_accuracy": 0.9896106541156768,
+ "num_tokens": 45609763.0,
+ "step": 2220
+ },
+ {
+ "entropy": 0.9801763832569123,
+ "epoch": 4.106813996316759,
+ "grad_norm": 0.6608165502548218,
+ "learning_rate": 6.849227373905618e-05,
+ "loss": 0.025101393461227417,
+ "mean_token_accuracy": 0.9904372334480286,
+ "num_tokens": 45814941.0,
+ "step": 2230
+ },
+ {
+ "entropy": 0.9695689737796783,
+ "epoch": 4.125230202578269,
+ "grad_norm": 0.8036547899246216,
+ "learning_rate": 6.820899020055314e-05,
+ "loss": 0.027827343344688414,
+ "mean_token_accuracy": 0.9890337705612182,
+ "num_tokens": 46020535.0,
+ "step": 2240
+ },
+ {
+ "entropy": 0.9828635334968567,
+ "epoch": 4.143646408839779,
+ "grad_norm": 0.7729921936988831,
+ "learning_rate": 6.792503116790455e-05,
+ "loss": 0.02779492735862732,
+ "mean_token_accuracy": 0.9894372522830963,
+ "num_tokens": 46226013.0,
+ "step": 2250
+ },
+ {
+ "entropy": 0.9978842556476593,
+ "epoch": 4.162062615101289,
+ "grad_norm": 0.7334664463996887,
+ "learning_rate": 6.764040717506432e-05,
+ "loss": 0.025673511624336242,
+ "mean_token_accuracy": 0.9899355113506317,
+ "num_tokens": 46432087.0,
+ "step": 2260
+ },
+ {
+ "entropy": 1.0116403937339782,
+ "epoch": 4.180478821362799,
+ "grad_norm": 0.6769368052482605,
+ "learning_rate": 6.735512878065427e-05,
+ "loss": 0.024705511331558228,
+ "mean_token_accuracy": 0.9906128525733948,
+ "num_tokens": 46637478.0,
+ "step": 2270
+ },
+ {
+ "entropy": 0.9985016226768494,
+ "epoch": 4.198895027624309,
+ "grad_norm": 0.8301573991775513,
+ "learning_rate": 6.706920656757234e-05,
+ "loss": 0.02455987185239792,
+ "mean_token_accuracy": 0.9905728340148926,
+ "num_tokens": 46842562.0,
+ "step": 2280
+ },
+ {
+ "entropy": 0.9909430682659149,
+ "epoch": 4.21731123388582,
+ "grad_norm": 0.656026303768158,
+ "learning_rate": 6.67826511426001e-05,
+ "loss": 0.022711564600467683,
+ "mean_token_accuracy": 0.9910893619060517,
+ "num_tokens": 47048071.0,
+ "step": 2290
+ },
+ {
+ "entropy": 0.9868666052818298,
+ "epoch": 4.23572744014733,
+ "grad_norm": 0.7614991068840027,
+ "learning_rate": 6.649547313600916e-05,
+ "loss": 0.02453812211751938,
+ "mean_token_accuracy": 0.9908901154994965,
+ "num_tokens": 47253507.0,
+ "step": 2300
+ },
+ {
+ "entropy": 0.9870487153530121,
+ "epoch": 4.25414364640884,
+ "grad_norm": 0.7617276906967163,
+ "learning_rate": 6.62076832011669e-05,
+ "loss": 0.025818097591400146,
+ "mean_token_accuracy": 0.990347957611084,
+ "num_tokens": 47458747.0,
+ "step": 2310
+ },
+ {
+ "entropy": 0.9691080570220947,
+ "epoch": 4.27255985267035,
+ "grad_norm": 0.6743029952049255,
+ "learning_rate": 6.591929201414124e-05,
+ "loss": 0.02456912100315094,
+ "mean_token_accuracy": 0.9905289709568024,
+ "num_tokens": 47663643.0,
+ "step": 2320
+ },
+ {
+ "entropy": 0.9701108932495117,
+ "epoch": 4.29097605893186,
+ "grad_norm": 0.6964483261108398,
+ "learning_rate": 6.56303102733046e-05,
+ "loss": 0.02575681209564209,
+ "mean_token_accuracy": 0.9898503363132477,
+ "num_tokens": 47868982.0,
+ "step": 2330
+ },
+ {
+ "entropy": 0.969528192281723,
+ "epoch": 4.30939226519337,
+ "grad_norm": 0.7521987557411194,
+ "learning_rate": 6.5340748698937e-05,
+ "loss": 0.02678089737892151,
+ "mean_token_accuracy": 0.9898572087287902,
+ "num_tokens": 48074314.0,
+ "step": 2340
+ },
+ {
+ "entropy": 0.9921871721744537,
+ "epoch": 4.327808471454881,
+ "grad_norm": 0.6944513320922852,
+ "learning_rate": 6.505061803282844e-05,
+ "loss": 0.025553321838378905,
+ "mean_token_accuracy": 0.9907529592514038,
+ "num_tokens": 48279731.0,
+ "step": 2350
+ },
+ {
+ "entropy": 0.9768964886665344,
+ "epoch": 4.346224677716391,
+ "grad_norm": 0.6553092002868652,
+ "learning_rate": 6.47599290378803e-05,
+ "loss": 0.0250235915184021,
+ "mean_token_accuracy": 0.9904054701328278,
+ "num_tokens": 48485401.0,
+ "step": 2360
+ },
+ {
+ "entropy": 0.9612838506698609,
+ "epoch": 4.3646408839779,
+ "grad_norm": 0.916820228099823,
+ "learning_rate": 6.446869249770619e-05,
+ "loss": 0.028156182169914244,
+ "mean_token_accuracy": 0.9888657331466675,
+ "num_tokens": 48691047.0,
+ "step": 2370
+ },
+ {
+ "entropy": 0.9665832936763763,
+ "epoch": 4.383057090239411,
+ "grad_norm": 0.9197776913642883,
+ "learning_rate": 6.417691921623185e-05,
+ "loss": 0.025303921103477477,
+ "mean_token_accuracy": 0.989986252784729,
+ "num_tokens": 48896234.0,
+ "step": 2380
+ },
+ {
+ "entropy": 0.9686589121818543,
+ "epoch": 4.401473296500921,
+ "grad_norm": 0.8505764603614807,
+ "learning_rate": 6.388462001729434e-05,
+ "loss": 0.024816396832466125,
+ "mean_token_accuracy": 0.9909265041351318,
+ "num_tokens": 49101893.0,
+ "step": 2390
+ },
+ {
+ "entropy": 0.9625210344791413,
+ "epoch": 4.419889502762431,
+ "grad_norm": 1.0601766109466553,
+ "learning_rate": 6.359180574424062e-05,
+ "loss": 0.02706078290939331,
+ "mean_token_accuracy": 0.9895522117614746,
+ "num_tokens": 49307467.0,
+ "step": 2400
+ },
+ {
+ "entropy": 0.9679551541805267,
+ "epoch": 4.4383057090239415,
+ "grad_norm": 0.776253879070282,
+ "learning_rate": 6.329848725952514e-05,
+ "loss": 0.02693203091621399,
+ "mean_token_accuracy": 0.9893981635570526,
+ "num_tokens": 49513020.0,
+ "step": 2410
+ },
+ {
+ "entropy": 0.9704959928989411,
+ "epoch": 4.456721915285451,
+ "grad_norm": 0.5459668636322021,
+ "learning_rate": 6.3004675444307e-05,
+ "loss": 0.0279473751783371,
+ "mean_token_accuracy": 0.9894329369068146,
+ "num_tokens": 49718405.0,
+ "step": 2420
+ },
+ {
+ "entropy": 0.961863350868225,
+ "epoch": 4.475138121546961,
+ "grad_norm": 0.9338833093643188,
+ "learning_rate": 6.27103811980462e-05,
+ "loss": 0.026478803157806395,
+ "mean_token_accuracy": 0.9902269721031189,
+ "num_tokens": 49923375.0,
+ "step": 2430
+ },
+ {
+ "entropy": 0.9708506822586059,
+ "epoch": 4.4935543278084715,
+ "grad_norm": 0.9073707461357117,
+ "learning_rate": 6.241561543809947e-05,
+ "loss": 0.025289520621299744,
+ "mean_token_accuracy": 0.9904769957065582,
+ "num_tokens": 50128901.0,
+ "step": 2440
+ },
+ {
+ "entropy": 0.984996622800827,
+ "epoch": 4.511970534069982,
+ "grad_norm": 0.8674206733703613,
+ "learning_rate": 6.212038909931503e-05,
+ "loss": 0.026442551612854005,
+ "mean_token_accuracy": 0.9905101835727692,
+ "num_tokens": 50334449.0,
+ "step": 2450
+ },
+ {
+ "entropy": 0.9926377475261688,
+ "epoch": 4.530386740331492,
+ "grad_norm": 0.7571811079978943,
+ "learning_rate": 6.182471313362717e-05,
+ "loss": 0.026819539070129395,
+ "mean_token_accuracy": 0.9898989200592041,
+ "num_tokens": 50539597.0,
+ "step": 2460
+ },
+ {
+ "entropy": 0.9450563549995422,
+ "epoch": 4.5488029465930016,
+ "grad_norm": 0.6651087403297424,
+ "learning_rate": 6.15285985096498e-05,
+ "loss": 0.02665227949619293,
+ "mean_token_accuracy": 0.9897156655788422,
+ "num_tokens": 50744926.0,
+ "step": 2470
+ },
+ {
+ "entropy": 0.9715635657310486,
+ "epoch": 4.567219152854512,
+ "grad_norm": 0.7445545196533203,
+ "learning_rate": 6.12320562122697e-05,
+ "loss": 0.026212453842163086,
+ "mean_token_accuracy": 0.9904700636863708,
+ "num_tokens": 50950152.0,
+ "step": 2480
+ },
+ {
+ "entropy": 0.9613442063331604,
+ "epoch": 4.585635359116022,
+ "grad_norm": 0.7168459296226501,
+ "learning_rate": 6.0935097242238837e-05,
+ "loss": 0.02508128583431244,
+ "mean_token_accuracy": 0.9901923894882202,
+ "num_tokens": 51155430.0,
+ "step": 2490
+ },
+ {
+ "entropy": 0.9571944534778595,
+ "epoch": 4.6040515653775325,
+ "grad_norm": 0.7590732574462891,
+ "learning_rate": 6.063773261576646e-05,
+ "loss": 0.025445500016212465,
+ "mean_token_accuracy": 0.9902949810028077,
+ "num_tokens": 51360826.0,
+ "step": 2500
+ },
+ {
+ "entropy": 0.947079461812973,
+ "epoch": 4.622467771639043,
+ "grad_norm": 0.6942175030708313,
+ "learning_rate": 6.033997336411035e-05,
+ "loss": 0.026132801175117494,
+ "mean_token_accuracy": 0.9900939345359803,
+ "num_tokens": 51566095.0,
+ "step": 2510
+ },
+ {
+ "entropy": 0.970003741979599,
+ "epoch": 4.640883977900552,
+ "grad_norm": 0.6562672257423401,
+ "learning_rate": 6.00418305331675e-05,
+ "loss": 0.024759869277477264,
+ "mean_token_accuracy": 0.9905019223690033,
+ "num_tokens": 51771177.0,
+ "step": 2520
+ },
+ {
+ "entropy": 0.9715348601341247,
+ "epoch": 4.6593001841620625,
+ "grad_norm": 0.6151639819145203,
+ "learning_rate": 5.9743315183064564e-05,
+ "loss": 0.024138522148132325,
+ "mean_token_accuracy": 0.9910101473331452,
+ "num_tokens": 51976349.0,
+ "step": 2530
+ },
+ {
+ "entropy": 0.9552160143852234,
+ "epoch": 4.677716390423573,
+ "grad_norm": 0.968815267086029,
+ "learning_rate": 5.9444438387747336e-05,
+ "loss": 0.027274739742279053,
+ "mean_token_accuracy": 0.9896075248718261,
+ "num_tokens": 52181820.0,
+ "step": 2540
+ },
+ {
+ "entropy": 0.9265012145042419,
+ "epoch": 4.696132596685083,
+ "grad_norm": 0.8966720700263977,
+ "learning_rate": 5.914521123457015e-05,
+ "loss": 0.0291823148727417,
+ "mean_token_accuracy": 0.9886700630187988,
+ "num_tokens": 52387511.0,
+ "step": 2550
+ },
+ {
+ "entropy": 0.9156096875667572,
+ "epoch": 4.714548802946593,
+ "grad_norm": 0.7747519612312317,
+ "learning_rate": 5.88456448238844e-05,
+ "loss": 0.02809179127216339,
+ "mean_token_accuracy": 0.9891100466251374,
+ "num_tokens": 52592737.0,
+ "step": 2560
+ },
+ {
+ "entropy": 0.924511456489563,
+ "epoch": 4.732965009208103,
+ "grad_norm": 1.0087049007415771,
+ "learning_rate": 5.8545750268626844e-05,
+ "loss": 0.02683232128620148,
+ "mean_token_accuracy": 0.9896528899669648,
+ "num_tokens": 52798814.0,
+ "step": 2570
+ },
+ {
+ "entropy": 0.9662951111793519,
+ "epoch": 4.751381215469613,
+ "grad_norm": 0.7709590792655945,
+ "learning_rate": 5.824553869390734e-05,
+ "loss": 0.02503817081451416,
+ "mean_token_accuracy": 0.9900161385536194,
+ "num_tokens": 53004478.0,
+ "step": 2580
+ },
+ {
+ "entropy": 0.9889141619205475,
+ "epoch": 4.769797421731123,
+ "grad_norm": 0.815858006477356,
+ "learning_rate": 5.794502123659613e-05,
+ "loss": 0.026327347755432128,
+ "mean_token_accuracy": 0.9900785744190216,
+ "num_tokens": 53209888.0,
+ "step": 2590
+ },
+ {
+ "entropy": 0.9785685896873474,
+ "epoch": 4.788213627992634,
+ "grad_norm": 0.6514431238174438,
+ "learning_rate": 5.7644209044910735e-05,
+ "loss": 0.025033789873123168,
+ "mean_token_accuracy": 0.9902650475502014,
+ "num_tokens": 53415533.0,
+ "step": 2600
+ },
+ {
+ "entropy": 0.9723869919776916,
+ "epoch": 4.806629834254144,
+ "grad_norm": 0.8778963685035706,
+ "learning_rate": 5.7343113278002284e-05,
+ "loss": 0.02379843294620514,
+ "mean_token_accuracy": 0.9909472465515137,
+ "num_tokens": 53620850.0,
+ "step": 2610
+ },
+ {
+ "entropy": 0.9572711050510406,
+ "epoch": 4.8250460405156534,
+ "grad_norm": 0.8927134871482849,
+ "learning_rate": 5.70417451055417e-05,
+ "loss": 0.024856947362422943,
+ "mean_token_accuracy": 0.9904125213623047,
+ "num_tokens": 53826259.0,
+ "step": 2620
+ },
+ {
+ "entropy": 0.9523135125637054,
+ "epoch": 4.843462246777164,
+ "grad_norm": 0.6832691431045532,
+ "learning_rate": 5.674011570730523e-05,
+ "loss": 0.025352203845977785,
+ "mean_token_accuracy": 0.990432596206665,
+ "num_tokens": 54031531.0,
+ "step": 2630
+ },
+ {
+ "entropy": 0.9735220730304718,
+ "epoch": 4.861878453038674,
+ "grad_norm": 0.6399164795875549,
+ "learning_rate": 5.643823627275972e-05,
+ "loss": 0.026541513204574586,
+ "mean_token_accuracy": 0.9900369107723236,
+ "num_tokens": 54237155.0,
+ "step": 2640
+ },
+ {
+ "entropy": 0.9566517114639282,
+ "epoch": 4.880294659300184,
+ "grad_norm": 0.8725414276123047,
+ "learning_rate": 5.6136118000647616e-05,
+ "loss": 0.02675778865814209,
+ "mean_token_accuracy": 0.9894899427890778,
+ "num_tokens": 54442739.0,
+ "step": 2650
+ },
+ {
+ "entropy": 0.9447909593582153,
+ "epoch": 4.898710865561695,
+ "grad_norm": 0.8169302344322205,
+ "learning_rate": 5.583377209857138e-05,
+ "loss": 0.02642086148262024,
+ "mean_token_accuracy": 0.989885401725769,
+ "num_tokens": 54648098.0,
+ "step": 2660
+ },
+ {
+ "entropy": 0.9180052697658538,
+ "epoch": 4.917127071823204,
+ "grad_norm": 0.7768753170967102,
+ "learning_rate": 5.553120978257787e-05,
+ "loss": 0.02552323341369629,
+ "mean_token_accuracy": 0.9899512350559234,
+ "num_tokens": 54854281.0,
+ "step": 2670
+ },
+ {
+ "entropy": 0.917166668176651,
+ "epoch": 4.935543278084714,
+ "grad_norm": 0.8241410851478577,
+ "learning_rate": 5.5228442276742153e-05,
+ "loss": 0.02788199484348297,
+ "mean_token_accuracy": 0.989625746011734,
+ "num_tokens": 55059495.0,
+ "step": 2680
+ },
+ {
+ "entropy": 0.9345465302467346,
+ "epoch": 4.953959484346225,
+ "grad_norm": 0.7645496129989624,
+ "learning_rate": 5.4925480812751166e-05,
+ "loss": 0.02517639398574829,
+ "mean_token_accuracy": 0.9902283847332001,
+ "num_tokens": 55265381.0,
+ "step": 2690
+ },
+ {
+ "entropy": 0.9386432528495788,
+ "epoch": 4.972375690607735,
+ "grad_norm": 0.8371859192848206,
+ "learning_rate": 5.46223366294871e-05,
+ "loss": 0.025585666298866272,
+ "mean_token_accuracy": 0.9903791427612305,
+ "num_tokens": 55471210.0,
+ "step": 2700
+ },
+ {
+ "entropy": 0.9267561137676239,
+ "epoch": 4.990791896869245,
+ "grad_norm": 0.6789297461509705,
+ "learning_rate": 5.43190209726104e-05,
+ "loss": 0.024646708369255067,
+ "mean_token_accuracy": 0.9904700815677643,
+ "num_tokens": 55676877.0,
+ "step": 2710
+ },
+ {
+ "epoch": 5.0,
+ "eval_entropy": 0.9283919717954553,
+ "eval_loss": 0.06225527077913284,
+ "eval_mean_token_accuracy": 0.9784110421719758,
+ "eval_num_tokens": 55779559.0,
+ "eval_runtime": 10.0613,
+ "eval_samples_per_second": 363.573,
+ "eval_steps_per_second": 11.43,
+ "step": 2715
+ },
+ {
+ "entropy": 0.9269404351711273,
+ "epoch": 5.009208103130755,
+ "grad_norm": 0.540570080280304,
+ "learning_rate": 5.401554509414264e-05,
+ "loss": 0.019513805210590363,
+ "mean_token_accuracy": 0.9927033007144928,
+ "num_tokens": 55882241.0,
+ "step": 2720
+ },
+ {
+ "entropy": 0.9377441763877868,
+ "epoch": 5.027624309392265,
+ "grad_norm": 0.5840998888015747,
+ "learning_rate": 5.3711920252049085e-05,
+ "loss": 0.015180909633636474,
+ "mean_token_accuracy": 0.9944471418857574,
+ "num_tokens": 56087470.0,
+ "step": 2730
+ },
+ {
+ "entropy": 0.949122017621994,
+ "epoch": 5.046040515653775,
+ "grad_norm": 0.6938672065734863,
+ "learning_rate": 5.340815770982106e-05,
+ "loss": 0.0153742715716362,
+ "mean_token_accuracy": 0.9941534519195556,
+ "num_tokens": 56292226.0,
+ "step": 2740
+ },
+ {
+ "entropy": 0.9394402146339417,
+ "epoch": 5.064456721915286,
+ "grad_norm": 0.8259939551353455,
+ "learning_rate": 5.310426873605814e-05,
+ "loss": 0.014350908994674682,
+ "mean_token_accuracy": 0.9945570707321167,
+ "num_tokens": 56497839.0,
+ "step": 2750
+ },
+ {
+ "entropy": 0.9323545396327972,
+ "epoch": 5.082872928176796,
+ "grad_norm": 0.9675024747848511,
+ "learning_rate": 5.280026460405005e-05,
+ "loss": 0.016550135612487794,
+ "mean_token_accuracy": 0.9938908398151398,
+ "num_tokens": 56702932.0,
+ "step": 2760
+ },
+ {
+ "entropy": 0.89125554561615,
+ "epoch": 5.101289134438305,
+ "grad_norm": 0.8347184658050537,
+ "learning_rate": 5.2496156591358566e-05,
+ "loss": 0.017917826771736145,
+ "mean_token_accuracy": 0.9934309899806977,
+ "num_tokens": 56908644.0,
+ "step": 2770
+ },
+ {
+ "entropy": 0.8773505449295044,
+ "epoch": 5.119705340699816,
+ "grad_norm": 0.8869524598121643,
+ "learning_rate": 5.219195597939908e-05,
+ "loss": 0.017221055924892426,
+ "mean_token_accuracy": 0.993448656797409,
+ "num_tokens": 57114171.0,
+ "step": 2780
+ },
+ {
+ "entropy": 0.8874686002731323,
+ "epoch": 5.138121546961326,
+ "grad_norm": 1.0294251441955566,
+ "learning_rate": 5.1887674053022084e-05,
+ "loss": 0.018111808598041533,
+ "mean_token_accuracy": 0.9931293666362763,
+ "num_tokens": 57319158.0,
+ "step": 2790
+ },
+ {
+ "entropy": 0.8893351197242737,
+ "epoch": 5.156537753222836,
+ "grad_norm": 0.6253597736358643,
+ "learning_rate": 5.15833221000946e-05,
+ "loss": 0.017256538569927215,
+ "mean_token_accuracy": 0.9936724424362182,
+ "num_tokens": 57524901.0,
+ "step": 2800
+ },
+ {
+ "entropy": 0.9157109141349793,
+ "epoch": 5.1749539594843466,
+ "grad_norm": 0.6379142999649048,
+ "learning_rate": 5.12789114110814e-05,
+ "loss": 0.016415870189666747,
+ "mean_token_accuracy": 0.9939744889736175,
+ "num_tokens": 57730135.0,
+ "step": 2810
+ },
+ {
+ "entropy": 0.9157932877540589,
+ "epoch": 5.193370165745856,
+ "grad_norm": 0.7195688486099243,
+ "learning_rate": 5.097445327862619e-05,
+ "loss": 0.01577536463737488,
+ "mean_token_accuracy": 0.9941773355007172,
+ "num_tokens": 57936210.0,
+ "step": 2820
+ },
+ {
+ "entropy": 0.9179767727851867,
+ "epoch": 5.211786372007366,
+ "grad_norm": 0.7149335741996765,
+ "learning_rate": 5.066995899713264e-05,
+ "loss": 0.01606254279613495,
+ "mean_token_accuracy": 0.9937664806842804,
+ "num_tokens": 58141736.0,
+ "step": 2830
+ },
+ {
+ "entropy": 0.895512479543686,
+ "epoch": 5.230202578268877,
+ "grad_norm": 0.6460169553756714,
+ "learning_rate": 5.036543986234543e-05,
+ "loss": 0.01605578660964966,
+ "mean_token_accuracy": 0.994063013792038,
+ "num_tokens": 58347178.0,
+ "step": 2840
+ },
+ {
+ "entropy": 0.8883109211921691,
+ "epoch": 5.248618784530387,
+ "grad_norm": 0.72477787733078,
+ "learning_rate": 5.006090717093128e-05,
+ "loss": 0.016773784160614015,
+ "mean_token_accuracy": 0.9940340936183929,
+ "num_tokens": 58552952.0,
+ "step": 2850
+ },
+ {
+ "entropy": 0.8942575633525849,
+ "epoch": 5.267034990791897,
+ "grad_norm": 0.7344926595687866,
+ "learning_rate": 4.9756372220059736e-05,
+ "loss": 0.01604126989841461,
+ "mean_token_accuracy": 0.994256991147995,
+ "num_tokens": 58758449.0,
+ "step": 2860
+ },
+ {
+ "entropy": 0.8854099690914154,
+ "epoch": 5.285451197053407,
+ "grad_norm": 0.6142122149467468,
+ "learning_rate": 4.9451846306984214e-05,
+ "loss": 0.016244474053382873,
+ "mean_token_accuracy": 0.9938375532627106,
+ "num_tokens": 58963691.0,
+ "step": 2870
+ },
+ {
+ "entropy": 0.8745675146579742,
+ "epoch": 5.303867403314917,
+ "grad_norm": 0.8025366067886353,
+ "learning_rate": 4.9147340728622816e-05,
+ "loss": 0.01611460596323013,
+ "mean_token_accuracy": 0.9941173672676087,
+ "num_tokens": 59169484.0,
+ "step": 2880
+ },
+ {
+ "entropy": 0.8812389194965362,
+ "epoch": 5.322283609576427,
+ "grad_norm": 0.7699193358421326,
+ "learning_rate": 4.884286678113935e-05,
+ "loss": 0.016995206475257874,
+ "mean_token_accuracy": 0.9937523245811463,
+ "num_tokens": 59374627.0,
+ "step": 2890
+ },
+ {
+ "entropy": 0.8924362242221833,
+ "epoch": 5.3406998158379375,
+ "grad_norm": 0.7516226172447205,
+ "learning_rate": 4.853843575952414e-05,
+ "loss": 0.01652217358350754,
+ "mean_token_accuracy": 0.9936819314956665,
+ "num_tokens": 59580135.0,
+ "step": 2900
+ },
+ {
+ "entropy": 0.8972602427005768,
+ "epoch": 5.359116022099448,
+ "grad_norm": 0.7781681418418884,
+ "learning_rate": 4.823405895717521e-05,
+ "loss": 0.017360319197177888,
+ "mean_token_accuracy": 0.9935634732246399,
+ "num_tokens": 59785392.0,
+ "step": 2910
+ },
+ {
+ "entropy": 0.900998342037201,
+ "epoch": 5.377532228360957,
+ "grad_norm": 0.6837047934532166,
+ "learning_rate": 4.792974766547911e-05,
+ "loss": 0.017162233591079712,
+ "mean_token_accuracy": 0.993264091014862,
+ "num_tokens": 59991448.0,
+ "step": 2920
+ },
+ {
+ "entropy": 0.9239763855934143,
+ "epoch": 5.3959484346224675,
+ "grad_norm": 0.7188259363174438,
+ "learning_rate": 4.762551317339226e-05,
+ "loss": 0.01718595027923584,
+ "mean_token_accuracy": 0.9933857440948486,
+ "num_tokens": 60197079.0,
+ "step": 2930
+ },
+ {
+ "entropy": 0.9056789398193359,
+ "epoch": 5.414364640883978,
+ "grad_norm": 0.6922260522842407,
+ "learning_rate": 4.732136676702198e-05,
+ "loss": 0.016596907377243043,
+ "mean_token_accuracy": 0.9937462329864502,
+ "num_tokens": 60402299.0,
+ "step": 2940
+ },
+ {
+ "entropy": 0.9038522362709045,
+ "epoch": 5.432780847145488,
+ "grad_norm": 0.7937009930610657,
+ "learning_rate": 4.7017319729207954e-05,
+ "loss": 0.016130413115024566,
+ "mean_token_accuracy": 0.9941940546035767,
+ "num_tokens": 60607907.0,
+ "step": 2950
+ },
+ {
+ "entropy": 0.8911147236824035,
+ "epoch": 5.4511970534069984,
+ "grad_norm": 0.6261171698570251,
+ "learning_rate": 4.671338333910359e-05,
+ "loss": 0.01622493863105774,
+ "mean_token_accuracy": 0.9937945663928985,
+ "num_tokens": 60813428.0,
+ "step": 2960
+ },
+ {
+ "entropy": 0.8894322276115417,
+ "epoch": 5.469613259668508,
+ "grad_norm": 0.6898378729820251,
+ "learning_rate": 4.6409568871757645e-05,
+ "loss": 0.016513559222221374,
+ "mean_token_accuracy": 0.9936174690723419,
+ "num_tokens": 61018404.0,
+ "step": 2970
+ },
+ {
+ "entropy": 0.9026601016521454,
+ "epoch": 5.488029465930018,
+ "grad_norm": 0.7027897834777832,
+ "learning_rate": 4.610588759769593e-05,
+ "loss": 0.016727012395858765,
+ "mean_token_accuracy": 0.9941417872905731,
+ "num_tokens": 61223660.0,
+ "step": 2980
+ },
+ {
+ "entropy": 0.8903301954269409,
+ "epoch": 5.5064456721915285,
+ "grad_norm": 0.9087063074111938,
+ "learning_rate": 4.5802350782503196e-05,
+ "loss": 0.016929233074188234,
+ "mean_token_accuracy": 0.9935264468193055,
+ "num_tokens": 61429438.0,
+ "step": 2990
+ },
+ {
+ "entropy": 0.8886692762374878,
+ "epoch": 5.524861878453039,
+ "grad_norm": 0.8283822536468506,
+ "learning_rate": 4.5498969686405266e-05,
+ "loss": 0.015396638214588166,
+ "mean_token_accuracy": 0.99433131814003,
+ "num_tokens": 61635274.0,
+ "step": 3000
+ },
+ {
+ "entropy": 0.8902086555957794,
+ "epoch": 5.543278084714549,
+ "grad_norm": 0.7676647305488586,
+ "learning_rate": 4.5195755563851336e-05,
+ "loss": 0.01673731654882431,
+ "mean_token_accuracy": 0.9938134133815766,
+ "num_tokens": 61840778.0,
+ "step": 3010
+ },
+ {
+ "entropy": 0.8941606819629669,
+ "epoch": 5.5616942909760585,
+ "grad_norm": 0.7026392221450806,
+ "learning_rate": 4.489271966309634e-05,
+ "loss": 0.01694796681404114,
+ "mean_token_accuracy": 0.9936233103275299,
+ "num_tokens": 62046355.0,
+ "step": 3020
+ },
+ {
+ "entropy": 0.90918750166893,
+ "epoch": 5.580110497237569,
+ "grad_norm": 0.7146924734115601,
+ "learning_rate": 4.4589873225783806e-05,
+ "loss": 0.01852080672979355,
+ "mean_token_accuracy": 0.9928994178771973,
+ "num_tokens": 62251709.0,
+ "step": 3030
+ },
+ {
+ "entropy": 0.8946544349193573,
+ "epoch": 5.598526703499079,
+ "grad_norm": 0.607246458530426,
+ "learning_rate": 4.428722748652881e-05,
+ "loss": 0.016636812686920167,
+ "mean_token_accuracy": 0.9939334273338318,
+ "num_tokens": 62456680.0,
+ "step": 3040
+ },
+ {
+ "entropy": 0.8854653835296631,
+ "epoch": 5.616942909760589,
+ "grad_norm": 0.7457882165908813,
+ "learning_rate": 4.3984793672501124e-05,
+ "loss": 0.016008296608924867,
+ "mean_token_accuracy": 0.9940589666366577,
+ "num_tokens": 62662038.0,
+ "step": 3050
+ },
+ {
+ "entropy": 0.8921085000038147,
+ "epoch": 5.6353591160221,
+ "grad_norm": 0.7707350254058838,
+ "learning_rate": 4.368258300300888e-05,
+ "loss": 0.016655120253562927,
+ "mean_token_accuracy": 0.993935889005661,
+ "num_tokens": 62867272.0,
+ "step": 3060
+ },
+ {
+ "entropy": 0.8768653869628906,
+ "epoch": 5.653775322283609,
+ "grad_norm": 0.6994554996490479,
+ "learning_rate": 4.3380606689082166e-05,
+ "loss": 0.015841150283813478,
+ "mean_token_accuracy": 0.9944550096988678,
+ "num_tokens": 63072403.0,
+ "step": 3070
+ },
+ {
+ "entropy": 0.8767679035663605,
+ "epoch": 5.672191528545119,
+ "grad_norm": 0.8327192068099976,
+ "learning_rate": 4.307887593305733e-05,
+ "loss": 0.015826576948165895,
+ "mean_token_accuracy": 0.9941202461719513,
+ "num_tokens": 63277635.0,
+ "step": 3080
+ },
+ {
+ "entropy": 0.8763292253017425,
+ "epoch": 5.69060773480663,
+ "grad_norm": 0.7224747538566589,
+ "learning_rate": 4.277740192816127e-05,
+ "loss": 0.015298140048980714,
+ "mean_token_accuracy": 0.9943080008029938,
+ "num_tokens": 63483196.0,
+ "step": 3090
+ },
+ {
+ "entropy": 0.8834661841392517,
+ "epoch": 5.70902394106814,
+ "grad_norm": 0.9508277773857117,
+ "learning_rate": 4.247619585809627e-05,
+ "loss": 0.01658404469490051,
+ "mean_token_accuracy": 0.9934300124645233,
+ "num_tokens": 63688721.0,
+ "step": 3100
+ },
+ {
+ "entropy": 0.899389523267746,
+ "epoch": 5.72744014732965,
+ "grad_norm": 0.7170981168746948,
+ "learning_rate": 4.217526889662512e-05,
+ "loss": 0.015803813934326172,
+ "mean_token_accuracy": 0.9940325975418091,
+ "num_tokens": 63894220.0,
+ "step": 3110
+ },
+ {
+ "entropy": 0.8968011736869812,
+ "epoch": 5.74585635359116,
+ "grad_norm": 0.6686251163482666,
+ "learning_rate": 4.187463220715659e-05,
+ "loss": 0.015874400734901428,
+ "mean_token_accuracy": 0.9940970957279205,
+ "num_tokens": 64099768.0,
+ "step": 3120
+ },
+ {
+ "entropy": 0.8900792479515076,
+ "epoch": 5.76427255985267,
+ "grad_norm": 0.5979828238487244,
+ "learning_rate": 4.157429694233128e-05,
+ "loss": 0.01613767147064209,
+ "mean_token_accuracy": 0.9942961037158966,
+ "num_tokens": 64305055.0,
+ "step": 3130
+ },
+ {
+ "entropy": 0.8899810135364532,
+ "epoch": 5.78268876611418,
+ "grad_norm": 0.7330048084259033,
+ "learning_rate": 4.127427424360794e-05,
+ "loss": 0.016168563067913054,
+ "mean_token_accuracy": 0.9941077649593353,
+ "num_tokens": 64510002.0,
+ "step": 3140
+ },
+ {
+ "entropy": 0.8805335581302642,
+ "epoch": 5.801104972375691,
+ "grad_norm": 0.5978623032569885,
+ "learning_rate": 4.09745752408501e-05,
+ "loss": 0.01524556577205658,
+ "mean_token_accuracy": 0.994326776266098,
+ "num_tokens": 64715431.0,
+ "step": 3150
+ },
+ {
+ "entropy": 0.878781646490097,
+ "epoch": 5.819521178637201,
+ "grad_norm": 0.6749313473701477,
+ "learning_rate": 4.067521105191331e-05,
+ "loss": 0.015209287405014038,
+ "mean_token_accuracy": 0.9942974805831909,
+ "num_tokens": 64921579.0,
+ "step": 3160
+ },
+ {
+ "entropy": 0.8844729900360108,
+ "epoch": 5.83793738489871,
+ "grad_norm": 0.6887196898460388,
+ "learning_rate": 4.037619278223255e-05,
+ "loss": 0.01619938760995865,
+ "mean_token_accuracy": 0.9937683045864105,
+ "num_tokens": 65127007.0,
+ "step": 3170
+ },
+ {
+ "entropy": 0.8780498623847961,
+ "epoch": 5.856353591160221,
+ "grad_norm": 0.6962174773216248,
+ "learning_rate": 4.0077531524410304e-05,
+ "loss": 0.015934592485427855,
+ "mean_token_accuracy": 0.9935103774070739,
+ "num_tokens": 65332418.0,
+ "step": 3180
+ },
+ {
+ "entropy": 0.8889612555503845,
+ "epoch": 5.874769797421731,
+ "grad_norm": 0.6049854159355164,
+ "learning_rate": 3.977923835780517e-05,
+ "loss": 0.01600206792354584,
+ "mean_token_accuracy": 0.9937360048294067,
+ "num_tokens": 65537845.0,
+ "step": 3190
+ },
+ {
+ "entropy": 0.8960810244083405,
+ "epoch": 5.893186003683241,
+ "grad_norm": 0.6341013312339783,
+ "learning_rate": 3.948132434812065e-05,
+ "loss": 0.0143389493227005,
+ "mean_token_accuracy": 0.9948007702827454,
+ "num_tokens": 65743412.0,
+ "step": 3200
+ },
+ {
+ "entropy": 0.887304550409317,
+ "epoch": 5.911602209944752,
+ "grad_norm": 0.7564852237701416,
+ "learning_rate": 3.9183800546994886e-05,
+ "loss": 0.016044440865516662,
+ "mean_token_accuracy": 0.9939335525035858,
+ "num_tokens": 65948884.0,
+ "step": 3210
+ },
+ {
+ "entropy": 0.8823239862918854,
+ "epoch": 5.930018416206261,
+ "grad_norm": 0.6525556445121765,
+ "learning_rate": 3.8886677991590435e-05,
+ "loss": 0.016112390160560607,
+ "mean_token_accuracy": 0.9938134670257568,
+ "num_tokens": 66153768.0,
+ "step": 3220
+ },
+ {
+ "entropy": 0.8712829887866974,
+ "epoch": 5.948434622467771,
+ "grad_norm": 0.676167368888855,
+ "learning_rate": 3.858996770418504e-05,
+ "loss": 0.015146306157112122,
+ "mean_token_accuracy": 0.9944733619689942,
+ "num_tokens": 66359661.0,
+ "step": 3230
+ },
+ {
+ "entropy": 0.8734102070331573,
+ "epoch": 5.966850828729282,
+ "grad_norm": 0.6284340023994446,
+ "learning_rate": 3.829368069176257e-05,
+ "loss": 0.017269474267959595,
+ "mean_token_accuracy": 0.9938443183898926,
+ "num_tokens": 66565228.0,
+ "step": 3240
+ },
+ {
+ "entropy": 0.8757335782051087,
+ "epoch": 5.985267034990792,
+ "grad_norm": 0.722522497177124,
+ "learning_rate": 3.799782794560484e-05,
+ "loss": 0.015032704174518585,
+ "mean_token_accuracy": 0.9942249894142151,
+ "num_tokens": 66770718.0,
+ "step": 3250
+ },
+ {
+ "epoch": 6.0,
+ "eval_entropy": 0.8780099873957427,
+ "eval_loss": 0.06740746647119522,
+ "eval_mean_token_accuracy": 0.9795082377350849,
+ "eval_num_tokens": 66935435.0,
+ "eval_runtime": 10.0955,
+ "eval_samples_per_second": 362.34,
+ "eval_steps_per_second": 11.391,
+ "step": 3258
+ },
+ {
+ "entropy": 0.8773481965065002,
+ "epoch": 6.003683241252302,
+ "grad_norm": 0.49184396862983704,
+ "learning_rate": 3.770242044088375e-05,
+ "loss": 0.013721099495887757,
+ "mean_token_accuracy": 0.9951768457889557,
+ "num_tokens": 66976478.0,
+ "step": 3260
+ },
+ {
+ "entropy": 0.8643155217170715,
+ "epoch": 6.0220994475138125,
+ "grad_norm": 0.4903622567653656,
+ "learning_rate": 3.7407469136254234e-05,
+ "loss": 0.009165047109127045,
+ "mean_token_accuracy": 0.9969388306140899,
+ "num_tokens": 67182251.0,
+ "step": 3270
+ },
+ {
+ "entropy": 0.8560326337814331,
+ "epoch": 6.040515653775322,
+ "grad_norm": 0.6360073685646057,
+ "learning_rate": 3.711298497344766e-05,
+ "loss": 0.010200753808021545,
+ "mean_token_accuracy": 0.9964211463928223,
+ "num_tokens": 67387493.0,
+ "step": 3280
+ },
+ {
+ "entropy": 0.8391405165195465,
+ "epoch": 6.058931860036832,
+ "grad_norm": 0.519554853439331,
+ "learning_rate": 3.6818978876865984e-05,
+ "loss": 0.008906974643468856,
+ "mean_token_accuracy": 0.9966452360153198,
+ "num_tokens": 67593314.0,
+ "step": 3290
+ },
+ {
+ "entropy": 0.8300552070140839,
+ "epoch": 6.077348066298343,
+ "grad_norm": 0.5294632911682129,
+ "learning_rate": 3.6525461753176426e-05,
+ "loss": 0.008088209480047227,
+ "mean_token_accuracy": 0.9971098065376282,
+ "num_tokens": 67798634.0,
+ "step": 3300
+ },
+ {
+ "entropy": 0.822588461637497,
+ "epoch": 6.095764272559853,
+ "grad_norm": 0.46423637866973877,
+ "learning_rate": 3.623244449090697e-05,
+ "loss": 0.008058926463127137,
+ "mean_token_accuracy": 0.9970856845378876,
+ "num_tokens": 68003683.0,
+ "step": 3310
+ },
+ {
+ "entropy": 0.8130167067050934,
+ "epoch": 6.114180478821363,
+ "grad_norm": 0.497258722782135,
+ "learning_rate": 3.5939937960042314e-05,
+ "loss": 0.008712668716907502,
+ "mean_token_accuracy": 0.996820193529129,
+ "num_tokens": 68208795.0,
+ "step": 3320
+ },
+ {
+ "entropy": 0.8035802125930787,
+ "epoch": 6.132596685082873,
+ "grad_norm": 0.43152952194213867,
+ "learning_rate": 3.5647953011620716e-05,
+ "loss": 0.008366625010967254,
+ "mean_token_accuracy": 0.9969616234302521,
+ "num_tokens": 68414414.0,
+ "step": 3330
+ },
+ {
+ "entropy": 0.8028200149536133,
+ "epoch": 6.151012891344383,
+ "grad_norm": 0.6057612299919128,
+ "learning_rate": 3.535650047733141e-05,
+ "loss": 0.00967741459608078,
+ "mean_token_accuracy": 0.9963694036006927,
+ "num_tokens": 68619806.0,
+ "step": 3340
+ },
+ {
+ "entropy": 0.7982640087604522,
+ "epoch": 6.169429097605893,
+ "grad_norm": 0.4966030716896057,
+ "learning_rate": 3.5065591169112785e-05,
+ "loss": 0.00934397652745247,
+ "mean_token_accuracy": 0.9969527781009674,
+ "num_tokens": 68825254.0,
+ "step": 3350
+ },
+ {
+ "entropy": 0.7859498977661132,
+ "epoch": 6.1878453038674035,
+ "grad_norm": 0.6962474584579468,
+ "learning_rate": 3.477523587875139e-05,
+ "loss": 0.010414297878742217,
+ "mean_token_accuracy": 0.996203750371933,
+ "num_tokens": 69031043.0,
+ "step": 3360
+ },
+ {
+ "entropy": 0.7869667530059814,
+ "epoch": 6.206261510128914,
+ "grad_norm": 0.6078894734382629,
+ "learning_rate": 3.448544537748143e-05,
+ "loss": 0.008547455072402954,
+ "mean_token_accuracy": 0.9968406975269317,
+ "num_tokens": 69236559.0,
+ "step": 3370
+ },
+ {
+ "entropy": 0.8036401033401489,
+ "epoch": 6.224677716390423,
+ "grad_norm": 0.5990306735038757,
+ "learning_rate": 3.4196230415585337e-05,
+ "loss": 0.00924447700381279,
+ "mean_token_accuracy": 0.9967190623283386,
+ "num_tokens": 69441764.0,
+ "step": 3380
+ },
+ {
+ "entropy": 0.8085561394691467,
+ "epoch": 6.2430939226519335,
+ "grad_norm": 0.46029484272003174,
+ "learning_rate": 3.390760172199486e-05,
+ "loss": 0.008379801362752914,
+ "mean_token_accuracy": 0.9970395743846894,
+ "num_tokens": 69647075.0,
+ "step": 3390
+ },
+ {
+ "entropy": 0.8132422208786011,
+ "epoch": 6.261510128913444,
+ "grad_norm": 0.5699496865272522,
+ "learning_rate": 3.361957000389315e-05,
+ "loss": 0.009426499903202056,
+ "mean_token_accuracy": 0.996586662530899,
+ "num_tokens": 69852809.0,
+ "step": 3400
+ },
+ {
+ "entropy": 0.8065890491008758,
+ "epoch": 6.279926335174954,
+ "grad_norm": 0.6212234497070312,
+ "learning_rate": 3.33321459463175e-05,
+ "loss": 0.009811153262853622,
+ "mean_token_accuracy": 0.9965905249118805,
+ "num_tokens": 70057955.0,
+ "step": 3410
+ },
+ {
+ "entropy": 0.7904254853725433,
+ "epoch": 6.298342541436464,
+ "grad_norm": 0.8000790476799011,
+ "learning_rate": 3.304534021176299e-05,
+ "loss": 0.00957801640033722,
+ "mean_token_accuracy": 0.9964518308639526,
+ "num_tokens": 70263517.0,
+ "step": 3420
+ },
+ {
+ "entropy": 0.7971100151538849,
+ "epoch": 6.316758747697974,
+ "grad_norm": 0.6359512209892273,
+ "learning_rate": 3.275916343978689e-05,
+ "loss": 0.009681916236877442,
+ "mean_token_accuracy": 0.9967545390129089,
+ "num_tokens": 70468400.0,
+ "step": 3430
+ },
+ {
+ "entropy": 0.7987187504768372,
+ "epoch": 6.335174953959484,
+ "grad_norm": 0.5094901919364929,
+ "learning_rate": 3.247362624661406e-05,
+ "loss": 0.009966370463371278,
+ "mean_token_accuracy": 0.9964035987854004,
+ "num_tokens": 70673648.0,
+ "step": 3440
+ },
+ {
+ "entropy": 0.7850228011608124,
+ "epoch": 6.3535911602209945,
+ "grad_norm": 0.5554385185241699,
+ "learning_rate": 3.218873922474303e-05,
+ "loss": 0.009521079063415528,
+ "mean_token_accuracy": 0.9966651916503906,
+ "num_tokens": 70879452.0,
+ "step": 3450
+ },
+ {
+ "entropy": 0.7885844230651855,
+ "epoch": 6.372007366482505,
+ "grad_norm": 0.5217951536178589,
+ "learning_rate": 3.190451294255314e-05,
+ "loss": 0.00949474424123764,
+ "mean_token_accuracy": 0.9966598808765411,
+ "num_tokens": 71085217.0,
+ "step": 3460
+ },
+ {
+ "entropy": 0.797072297334671,
+ "epoch": 6.390423572744015,
+ "grad_norm": 0.5385560393333435,
+ "learning_rate": 3.162095794391241e-05,
+ "loss": 0.009810312837362289,
+ "mean_token_accuracy": 0.9965846955776214,
+ "num_tokens": 71290955.0,
+ "step": 3470
+ },
+ {
+ "entropy": 0.8024774849414825,
+ "epoch": 6.4088397790055245,
+ "grad_norm": 0.5419294238090515,
+ "learning_rate": 3.1338084747786456e-05,
+ "loss": 0.009127366542816161,
+ "mean_token_accuracy": 0.9968222141265869,
+ "num_tokens": 71496654.0,
+ "step": 3480
+ },
+ {
+ "entropy": 0.8082470417022705,
+ "epoch": 6.427255985267035,
+ "grad_norm": 0.7315362095832825,
+ "learning_rate": 3.105590384784821e-05,
+ "loss": 0.008642691373825073,
+ "mean_token_accuracy": 0.9970867097377777,
+ "num_tokens": 71701725.0,
+ "step": 3490
+ },
+ {
+ "entropy": 0.804630172252655,
+ "epoch": 6.445672191528545,
+ "grad_norm": 0.6668549180030823,
+ "learning_rate": 3.0774425712088676e-05,
+ "loss": 0.008679335564374923,
+ "mean_token_accuracy": 0.9969714701175689,
+ "num_tokens": 71907003.0,
+ "step": 3500
+ },
+ {
+ "entropy": 0.7939219176769257,
+ "epoch": 6.464088397790055,
+ "grad_norm": 0.8388434648513794,
+ "learning_rate": 3.049366078242864e-05,
+ "loss": 0.009249264001846313,
+ "mean_token_accuracy": 0.99674671292305,
+ "num_tokens": 72112532.0,
+ "step": 3510
+ },
+ {
+ "entropy": 0.78477823138237,
+ "epoch": 6.482504604051566,
+ "grad_norm": 0.4963231682777405,
+ "learning_rate": 3.021361947433125e-05,
+ "loss": 0.009192919731140137,
+ "mean_token_accuracy": 0.9965968191623688,
+ "num_tokens": 72318518.0,
+ "step": 3520
+ },
+ {
+ "entropy": 0.7841647148132325,
+ "epoch": 6.500920810313076,
+ "grad_norm": 0.5681823492050171,
+ "learning_rate": 2.9934312176415636e-05,
+ "loss": 0.008821797370910645,
+ "mean_token_accuracy": 0.9968703150749206,
+ "num_tokens": 72524548.0,
+ "step": 3530
+ },
+ {
+ "entropy": 0.7848304688930512,
+ "epoch": 6.519337016574585,
+ "grad_norm": 0.7126080393791199,
+ "learning_rate": 2.965574925007154e-05,
+ "loss": 0.009742744266986847,
+ "mean_token_accuracy": 0.9964317202568054,
+ "num_tokens": 72729659.0,
+ "step": 3540
+ },
+ {
+ "entropy": 0.7899512410163879,
+ "epoch": 6.537753222836096,
+ "grad_norm": 0.7015056014060974,
+ "learning_rate": 2.9377941029074986e-05,
+ "loss": 0.008977667987346649,
+ "mean_token_accuracy": 0.9968570172786713,
+ "num_tokens": 72934865.0,
+ "step": 3550
+ },
+ {
+ "entropy": 0.797937935590744,
+ "epoch": 6.556169429097606,
+ "grad_norm": 0.700501024723053,
+ "learning_rate": 2.910089781920486e-05,
+ "loss": 0.00973074734210968,
+ "mean_token_accuracy": 0.996515303850174,
+ "num_tokens": 73139684.0,
+ "step": 3560
+ },
+ {
+ "entropy": 0.7993333518505097,
+ "epoch": 6.574585635359116,
+ "grad_norm": 0.44471475481987,
+ "learning_rate": 2.882462989786061e-05,
+ "loss": 0.008206719905138016,
+ "mean_token_accuracy": 0.9968972980976105,
+ "num_tokens": 73345547.0,
+ "step": 3570
+ },
+ {
+ "entropy": 0.7961922466754914,
+ "epoch": 6.593001841620627,
+ "grad_norm": 0.5011329054832458,
+ "learning_rate": 2.854914751368109e-05,
+ "loss": 0.009073075652122498,
+ "mean_token_accuracy": 0.9968676805496216,
+ "num_tokens": 73550822.0,
+ "step": 3580
+ },
+ {
+ "entropy": 0.8064342319965363,
+ "epoch": 6.611418047882136,
+ "grad_norm": 0.6375740766525269,
+ "learning_rate": 2.82744608861642e-05,
+ "loss": 0.009309899061918259,
+ "mean_token_accuracy": 0.9967096745967865,
+ "num_tokens": 73756564.0,
+ "step": 3590
+ },
+ {
+ "entropy": 0.8025432348251342,
+ "epoch": 6.629834254143646,
+ "grad_norm": 0.8449372053146362,
+ "learning_rate": 2.8000580205287874e-05,
+ "loss": 0.009333166480064391,
+ "mean_token_accuracy": 0.9967890501022338,
+ "num_tokens": 73961849.0,
+ "step": 3600
+ },
+ {
+ "entropy": 0.8010810256004334,
+ "epoch": 6.648250460405157,
+ "grad_norm": 0.9473148584365845,
+ "learning_rate": 2.772751563113213e-05,
+ "loss": 0.00938543900847435,
+ "mean_token_accuracy": 0.996571558713913,
+ "num_tokens": 74167074.0,
+ "step": 3610
+ },
+ {
+ "entropy": 0.7954266011714936,
+ "epoch": 6.666666666666667,
+ "grad_norm": 0.4197849631309509,
+ "learning_rate": 2.7455277293502007e-05,
+ "loss": 0.008846811950206757,
+ "mean_token_accuracy": 0.9970432996749878,
+ "num_tokens": 74372119.0,
+ "step": 3620
+ },
+ {
+ "entropy": 0.7859483778476715,
+ "epoch": 6.685082872928177,
+ "grad_norm": 0.5353069305419922,
+ "learning_rate": 2.7183875291551892e-05,
+ "loss": 0.008807064592838287,
+ "mean_token_accuracy": 0.9969651758670807,
+ "num_tokens": 74577516.0,
+ "step": 3630
+ },
+ {
+ "entropy": 0.7940182387828827,
+ "epoch": 6.703499079189687,
+ "grad_norm": 0.5789965391159058,
+ "learning_rate": 2.6913319693410828e-05,
+ "loss": 0.008173662424087524,
+ "mean_token_accuracy": 0.9970715939998627,
+ "num_tokens": 74783031.0,
+ "step": 3640
+ },
+ {
+ "entropy": 0.7871349632740021,
+ "epoch": 6.721915285451197,
+ "grad_norm": 0.5887596011161804,
+ "learning_rate": 2.6643620535809076e-05,
+ "loss": 0.008517104387283325,
+ "mean_token_accuracy": 0.9969267845153809,
+ "num_tokens": 74988646.0,
+ "step": 3650
+ },
+ {
+ "entropy": 0.783170485496521,
+ "epoch": 6.740331491712707,
+ "grad_norm": 0.6228395104408264,
+ "learning_rate": 2.637478782370574e-05,
+ "loss": 0.008941689878702164,
+ "mean_token_accuracy": 0.9967794418334961,
+ "num_tokens": 75193938.0,
+ "step": 3660
+ },
+ {
+ "entropy": 0.7779926240444184,
+ "epoch": 6.758747697974218,
+ "grad_norm": 0.7367292642593384,
+ "learning_rate": 2.61068315299176e-05,
+ "loss": 0.009662539511919022,
+ "mean_token_accuracy": 0.9965554535388946,
+ "num_tokens": 75399816.0,
+ "step": 3670
+ },
+ {
+ "entropy": 0.7756146490573883,
+ "epoch": 6.777163904235728,
+ "grad_norm": 0.7478228807449341,
+ "learning_rate": 2.5839761594749167e-05,
+ "loss": 0.008691602945327758,
+ "mean_token_accuracy": 0.996806287765503,
+ "num_tokens": 75605531.0,
+ "step": 3680
+ },
+ {
+ "entropy": 0.7793804049491883,
+ "epoch": 6.795580110497237,
+ "grad_norm": 0.580205500125885,
+ "learning_rate": 2.5573587925623964e-05,
+ "loss": 0.00922732800245285,
+ "mean_token_accuracy": 0.9966219186782836,
+ "num_tokens": 75811143.0,
+ "step": 3690
+ },
+ {
+ "entropy": 0.7817609786987305,
+ "epoch": 6.813996316758748,
+ "grad_norm": 0.3849862813949585,
+ "learning_rate": 2.530832039671694e-05,
+ "loss": 0.00812167227268219,
+ "mean_token_accuracy": 0.9970280706882477,
+ "num_tokens": 76016366.0,
+ "step": 3700
+ },
+ {
+ "entropy": 0.7793294489383698,
+ "epoch": 6.832412523020258,
+ "grad_norm": 0.4873282313346863,
+ "learning_rate": 2.504396884858825e-05,
+ "loss": 0.008183138072490692,
+ "mean_token_accuracy": 0.9973145961761475,
+ "num_tokens": 76221692.0,
+ "step": 3710
+ },
+ {
+ "entropy": 0.7805068492889404,
+ "epoch": 6.850828729281768,
+ "grad_norm": 0.6652786135673523,
+ "learning_rate": 2.478054308781807e-05,
+ "loss": 0.009141853451728821,
+ "mean_token_accuracy": 0.9968416154384613,
+ "num_tokens": 76427170.0,
+ "step": 3720
+ },
+ {
+ "entropy": 0.7799863159656525,
+ "epoch": 6.8692449355432785,
+ "grad_norm": 0.5895428657531738,
+ "learning_rate": 2.451805288664298e-05,
+ "loss": 0.009343943744897842,
+ "mean_token_accuracy": 0.9968909084796905,
+ "num_tokens": 76632450.0,
+ "step": 3730
+ },
+ {
+ "entropy": 0.7819362223148346,
+ "epoch": 6.887661141804788,
+ "grad_norm": 0.6007734537124634,
+ "learning_rate": 2.425650798259327e-05,
+ "loss": 0.008081933856010437,
+ "mean_token_accuracy": 0.9972956955432892,
+ "num_tokens": 76837993.0,
+ "step": 3740
+ },
+ {
+ "entropy": 0.7859819054603576,
+ "epoch": 6.906077348066298,
+ "grad_norm": 0.5510725975036621,
+ "learning_rate": 2.39959180781318e-05,
+ "loss": 0.008848348259925842,
+ "mean_token_accuracy": 0.9968287885189057,
+ "num_tokens": 77043697.0,
+ "step": 3750
+ },
+ {
+ "entropy": 0.7813855290412903,
+ "epoch": 6.9244935543278086,
+ "grad_norm": 0.5004434585571289,
+ "learning_rate": 2.3736292840294122e-05,
+ "loss": 0.00795777291059494,
+ "mean_token_accuracy": 0.9973017990589141,
+ "num_tokens": 77248720.0,
+ "step": 3760
+ },
+ {
+ "entropy": 0.774254196882248,
+ "epoch": 6.942909760589319,
+ "grad_norm": 0.7068622708320618,
+ "learning_rate": 2.347764190032974e-05,
+ "loss": 0.007790238410234451,
+ "mean_token_accuracy": 0.997188663482666,
+ "num_tokens": 77454096.0,
+ "step": 3770
+ },
+ {
+ "entropy": 0.7675817251205445,
+ "epoch": 6.961325966850829,
+ "grad_norm": 0.5110977292060852,
+ "learning_rate": 2.3219974853344905e-05,
+ "loss": 0.008631375432014466,
+ "mean_token_accuracy": 0.9967362582683563,
+ "num_tokens": 77659811.0,
+ "step": 3780
+ },
+ {
+ "entropy": 0.7719516515731811,
+ "epoch": 6.979742173112339,
+ "grad_norm": 0.6288211941719055,
+ "learning_rate": 2.2963301257946622e-05,
+ "loss": 0.00804171860218048,
+ "mean_token_accuracy": 0.9971263229846954,
+ "num_tokens": 77865539.0,
+ "step": 3790
+ },
+ {
+ "entropy": 0.7786632418632508,
+ "epoch": 6.998158379373849,
+ "grad_norm": 0.5279833078384399,
+ "learning_rate": 2.270763063588814e-05,
+ "loss": 0.007490953803062439,
+ "mean_token_accuracy": 0.9974353730678558,
+ "num_tokens": 78070767.0,
+ "step": 3800
+ },
+ {
+ "epoch": 7.0,
+ "eval_entropy": 0.7808213239130767,
+ "eval_loss": 0.07382760941982269,
+ "eval_mean_token_accuracy": 0.9800234224485315,
+ "eval_num_tokens": 78091327.0,
+ "eval_runtime": 10.072,
+ "eval_samples_per_second": 363.186,
+ "eval_steps_per_second": 11.418,
+ "step": 3801
+ },
+ {
+ "entropy": 0.7750412881374359,
+ "epoch": 7.016574585635359,
+ "grad_norm": 0.3850567936897278,
+ "learning_rate": 2.2452972471715644e-05,
+ "loss": 0.005539501458406449,
+ "mean_token_accuracy": 0.9983771502971649,
+ "num_tokens": 78276132.0,
+ "step": 3810
+ },
+ {
+ "entropy": 0.7673899948596954,
+ "epoch": 7.0349907918968695,
+ "grad_norm": 0.4390123188495636,
+ "learning_rate": 2.2199336212416406e-05,
+ "loss": 0.0051019065082073215,
+ "mean_token_accuracy": 0.9984941363334656,
+ "num_tokens": 78481842.0,
+ "step": 3820
+ },
+ {
+ "entropy": 0.7712743639945984,
+ "epoch": 7.05340699815838,
+ "grad_norm": 0.48151132464408875,
+ "learning_rate": 2.1946731267068386e-05,
+ "loss": 0.005401181802153587,
+ "mean_token_accuracy": 0.9984619855880738,
+ "num_tokens": 78687831.0,
+ "step": 3830
+ },
+ {
+ "entropy": 0.772344833612442,
+ "epoch": 7.071823204419889,
+ "grad_norm": 0.3234920799732208,
+ "learning_rate": 2.169516700649115e-05,
+ "loss": 0.004806514084339142,
+ "mean_token_accuracy": 0.9984551191329956,
+ "num_tokens": 78893336.0,
+ "step": 3840
+ },
+ {
+ "entropy": 0.7736243844032288,
+ "epoch": 7.0902394106813995,
+ "grad_norm": 0.4605523645877838,
+ "learning_rate": 2.1444652762898242e-05,
+ "loss": 0.0041438989341259,
+ "mean_token_accuracy": 0.9988476693630218,
+ "num_tokens": 79098566.0,
+ "step": 3850
+ },
+ {
+ "entropy": 0.7667625486850739,
+ "epoch": 7.10865561694291,
+ "grad_norm": 0.43270638585090637,
+ "learning_rate": 2.119519782955105e-05,
+ "loss": 0.004775972291827202,
+ "mean_token_accuracy": 0.9984218835830688,
+ "num_tokens": 79303871.0,
+ "step": 3860
+ },
+ {
+ "entropy": 0.7631282329559326,
+ "epoch": 7.12707182320442,
+ "grad_norm": 0.35699328780174255,
+ "learning_rate": 2.094681146041394e-05,
+ "loss": 0.00421409159898758,
+ "mean_token_accuracy": 0.9988139629364013,
+ "num_tokens": 79509090.0,
+ "step": 3870
+ },
+ {
+ "entropy": 0.7578658938407898,
+ "epoch": 7.14548802946593,
+ "grad_norm": 0.6432686448097229,
+ "learning_rate": 2.06995028698111e-05,
+ "loss": 0.004374136403203011,
+ "mean_token_accuracy": 0.998746919631958,
+ "num_tokens": 79714834.0,
+ "step": 3880
+ },
+ {
+ "entropy": 0.7558880388736725,
+ "epoch": 7.16390423572744,
+ "grad_norm": 0.7402953505516052,
+ "learning_rate": 2.0453281232084586e-05,
+ "loss": 0.004856631904840469,
+ "mean_token_accuracy": 0.9985869526863098,
+ "num_tokens": 79920226.0,
+ "step": 3890
+ },
+ {
+ "entropy": 0.7542947113513947,
+ "epoch": 7.18232044198895,
+ "grad_norm": 0.3336258828639984,
+ "learning_rate": 2.0208155681254076e-05,
+ "loss": 0.0044605318456888195,
+ "mean_token_accuracy": 0.9986851871013641,
+ "num_tokens": 80125096.0,
+ "step": 3900
+ },
+ {
+ "entropy": 0.7547785460948944,
+ "epoch": 7.2007366482504604,
+ "grad_norm": 0.48785507678985596,
+ "learning_rate": 1.9964135310678017e-05,
+ "loss": 0.004243453219532967,
+ "mean_token_accuracy": 0.99877148270607,
+ "num_tokens": 80330544.0,
+ "step": 3910
+ },
+ {
+ "entropy": 0.7504124104976654,
+ "epoch": 7.219152854511971,
+ "grad_norm": 0.462425172328949,
+ "learning_rate": 1.9721229172716245e-05,
+ "loss": 0.004574070125818253,
+ "mean_token_accuracy": 0.9984130024909973,
+ "num_tokens": 80536072.0,
+ "step": 3920
+ },
+ {
+ "entropy": 0.7527936816215515,
+ "epoch": 7.237569060773481,
+ "grad_norm": 0.38035058975219727,
+ "learning_rate": 1.9479446278394208e-05,
+ "loss": 0.004055039957165718,
+ "mean_token_accuracy": 0.9987563371658326,
+ "num_tokens": 80741305.0,
+ "step": 3930
+ },
+ {
+ "entropy": 0.7502566337585449,
+ "epoch": 7.2559852670349905,
+ "grad_norm": 0.3040870428085327,
+ "learning_rate": 1.9238795597068665e-05,
+ "loss": 0.0041418131440877914,
+ "mean_token_accuracy": 0.998740965127945,
+ "num_tokens": 80946776.0,
+ "step": 3940
+ },
+ {
+ "entropy": 0.7453009426593781,
+ "epoch": 7.274401473296501,
+ "grad_norm": 0.39008331298828125,
+ "learning_rate": 1.8999286056095e-05,
+ "loss": 0.003949865326285362,
+ "mean_token_accuracy": 0.9989946007728576,
+ "num_tokens": 81151930.0,
+ "step": 3950
+ },
+ {
+ "entropy": 0.7451439797878265,
+ "epoch": 7.292817679558011,
+ "grad_norm": 0.44502392411231995,
+ "learning_rate": 1.8760926540496006e-05,
+ "loss": 0.0047814734280109406,
+ "mean_token_accuracy": 0.9984888076782227,
+ "num_tokens": 81357559.0,
+ "step": 3960
+ },
+ {
+ "entropy": 0.749438214302063,
+ "epoch": 7.311233885819521,
+ "grad_norm": 0.5195235013961792,
+ "learning_rate": 1.8523725892632253e-05,
+ "loss": 0.004281774908304214,
+ "mean_token_accuracy": 0.9987141609191894,
+ "num_tokens": 81563294.0,
+ "step": 3970
+ },
+ {
+ "entropy": 0.7536393761634826,
+ "epoch": 7.329650092081032,
+ "grad_norm": 0.34366822242736816,
+ "learning_rate": 1.828769291187413e-05,
+ "loss": 0.0038790594786405562,
+ "mean_token_accuracy": 0.9988636136054992,
+ "num_tokens": 81768219.0,
+ "step": 3980
+ },
+ {
+ "entropy": 0.750888729095459,
+ "epoch": 7.348066298342541,
+ "grad_norm": 0.3888038098812103,
+ "learning_rate": 1.8052836354275355e-05,
+ "loss": 0.0046471841633319855,
+ "mean_token_accuracy": 0.9985671877861023,
+ "num_tokens": 81973285.0,
+ "step": 3990
+ },
+ {
+ "entropy": 0.7512096881866455,
+ "epoch": 7.366482504604051,
+ "grad_norm": 0.4684146046638489,
+ "learning_rate": 1.7819164932248194e-05,
+ "loss": 0.0049116648733615875,
+ "mean_token_accuracy": 0.9983943462371826,
+ "num_tokens": 82178663.0,
+ "step": 4000
+ },
+ {
+ "entropy": 0.7514511585235596,
+ "epoch": 7.384898710865562,
+ "grad_norm": 0.571757435798645,
+ "learning_rate": 1.7586687314240296e-05,
+ "loss": 0.005085925757884979,
+ "mean_token_accuracy": 0.9984491765499115,
+ "num_tokens": 82384703.0,
+ "step": 4010
+ },
+ {
+ "entropy": 0.7534020125865937,
+ "epoch": 7.403314917127072,
+ "grad_norm": 0.3526608943939209,
+ "learning_rate": 1.7355412124412988e-05,
+ "loss": 0.004772019758820534,
+ "mean_token_accuracy": 0.9984830975532532,
+ "num_tokens": 82590547.0,
+ "step": 4020
+ },
+ {
+ "entropy": 0.7495484054088593,
+ "epoch": 7.421731123388582,
+ "grad_norm": 0.389273464679718,
+ "learning_rate": 1.7125347942321523e-05,
+ "loss": 0.004463380947709083,
+ "mean_token_accuracy": 0.9985935151576996,
+ "num_tokens": 82795801.0,
+ "step": 4030
+ },
+ {
+ "entropy": 0.7503954172134399,
+ "epoch": 7.440147329650092,
+ "grad_norm": 0.44278526306152344,
+ "learning_rate": 1.689650330259665e-05,
+ "loss": 0.004496005177497864,
+ "mean_token_accuracy": 0.9985817015171051,
+ "num_tokens": 83001332.0,
+ "step": 4040
+ },
+ {
+ "entropy": 0.7515525698661805,
+ "epoch": 7.458563535911602,
+ "grad_norm": 0.418070524930954,
+ "learning_rate": 1.666888669462809e-05,
+ "loss": 0.004161220416426659,
+ "mean_token_accuracy": 0.9988651812076569,
+ "num_tokens": 83206211.0,
+ "step": 4050
+ },
+ {
+ "entropy": 0.747660368680954,
+ "epoch": 7.476979742173112,
+ "grad_norm": 0.52656090259552,
+ "learning_rate": 1.6442506562249622e-05,
+ "loss": 0.0042838241904973985,
+ "mean_token_accuracy": 0.9985848963260651,
+ "num_tokens": 83411773.0,
+ "step": 4060
+ },
+ {
+ "entropy": 0.7506191194057464,
+ "epoch": 7.495395948434623,
+ "grad_norm": 0.29261597990989685,
+ "learning_rate": 1.621737130342578e-05,
+ "loss": 0.003957664594054222,
+ "mean_token_accuracy": 0.9986599206924438,
+ "num_tokens": 83617231.0,
+ "step": 4070
+ },
+ {
+ "entropy": 0.7549885094165802,
+ "epoch": 7.513812154696133,
+ "grad_norm": 0.35437923669815063,
+ "learning_rate": 1.599348926994036e-05,
+ "loss": 0.0034299422055482864,
+ "mean_token_accuracy": 0.9990102112293243,
+ "num_tokens": 83822893.0,
+ "step": 4080
+ },
+ {
+ "entropy": 0.7578713536262512,
+ "epoch": 7.532228360957642,
+ "grad_norm": 0.38587674498558044,
+ "learning_rate": 1.5770868767086567e-05,
+ "loss": 0.003320001810789108,
+ "mean_token_accuracy": 0.9990382492542267,
+ "num_tokens": 84028376.0,
+ "step": 4090
+ },
+ {
+ "entropy": 0.754696124792099,
+ "epoch": 7.550644567219153,
+ "grad_norm": 0.39879584312438965,
+ "learning_rate": 1.554951805335897e-05,
+ "loss": 0.004190019145607948,
+ "mean_token_accuracy": 0.9987861573696136,
+ "num_tokens": 84233768.0,
+ "step": 4100
+ },
+ {
+ "entropy": 0.7515742480754852,
+ "epoch": 7.569060773480663,
+ "grad_norm": 0.47624126076698303,
+ "learning_rate": 1.5329445340147096e-05,
+ "loss": 0.00403064489364624,
+ "mean_token_accuracy": 0.9986754775047302,
+ "num_tokens": 84439923.0,
+ "step": 4110
+ },
+ {
+ "entropy": 0.7527350902557373,
+ "epoch": 7.587476979742173,
+ "grad_norm": 0.4721614718437195,
+ "learning_rate": 1.5110658791430804e-05,
+ "loss": 0.004505171626806259,
+ "mean_token_accuracy": 0.9985378623008728,
+ "num_tokens": 84645432.0,
+ "step": 4120
+ },
+ {
+ "entropy": 0.747485089302063,
+ "epoch": 7.605893186003684,
+ "grad_norm": 0.49411219358444214,
+ "learning_rate": 1.4893166523477448e-05,
+ "loss": 0.0038516007363796232,
+ "mean_token_accuracy": 0.9987127304077148,
+ "num_tokens": 84850968.0,
+ "step": 4130
+ },
+ {
+ "entropy": 0.7463041722774506,
+ "epoch": 7.624309392265193,
+ "grad_norm": 0.4478297531604767,
+ "learning_rate": 1.4676976604540787e-05,
+ "loss": 0.00429936945438385,
+ "mean_token_accuracy": 0.9987892746925354,
+ "num_tokens": 85056363.0,
+ "step": 4140
+ },
+ {
+ "entropy": 0.7416360318660736,
+ "epoch": 7.642725598526703,
+ "grad_norm": 0.4913847744464874,
+ "learning_rate": 1.4462097054561675e-05,
+ "loss": 0.0036755587905645372,
+ "mean_token_accuracy": 0.9989015281200408,
+ "num_tokens": 85262252.0,
+ "step": 4150
+ },
+ {
+ "entropy": 0.7403277635574341,
+ "epoch": 7.661141804788214,
+ "grad_norm": 0.49693024158477783,
+ "learning_rate": 1.4248535844870586e-05,
+ "loss": 0.0037889480590820312,
+ "mean_token_accuracy": 0.99878990650177,
+ "num_tokens": 85468067.0,
+ "step": 4160
+ },
+ {
+ "entropy": 0.7400458335876465,
+ "epoch": 7.679558011049724,
+ "grad_norm": 0.4609115421772003,
+ "learning_rate": 1.4036300897891819e-05,
+ "loss": 0.004160438477993011,
+ "mean_token_accuracy": 0.9985541105270386,
+ "num_tokens": 85673442.0,
+ "step": 4170
+ },
+ {
+ "entropy": 0.7405486226081848,
+ "epoch": 7.697974217311234,
+ "grad_norm": 0.4713679254055023,
+ "learning_rate": 1.3825400086849693e-05,
+ "loss": 0.004131061211228371,
+ "mean_token_accuracy": 0.9986487686634063,
+ "num_tokens": 85878837.0,
+ "step": 4180
+ },
+ {
+ "entropy": 0.7426068425178528,
+ "epoch": 7.716390423572744,
+ "grad_norm": 0.36043041944503784,
+ "learning_rate": 1.3615841235476423e-05,
+ "loss": 0.004306273162364959,
+ "mean_token_accuracy": 0.9986724078655242,
+ "num_tokens": 86083884.0,
+ "step": 4190
+ },
+ {
+ "entropy": 0.7389791548252106,
+ "epoch": 7.734806629834254,
+ "grad_norm": 0.4564935863018036,
+ "learning_rate": 1.3407632117721858e-05,
+ "loss": 0.003909315168857575,
+ "mean_token_accuracy": 0.998731005191803,
+ "num_tokens": 86289698.0,
+ "step": 4200
+ },
+ {
+ "entropy": 0.7440706253051758,
+ "epoch": 7.753222836095764,
+ "grad_norm": 0.442862331867218,
+ "learning_rate": 1.3200780457465211e-05,
+ "loss": 0.0041195075958967205,
+ "mean_token_accuracy": 0.9987683832645416,
+ "num_tokens": 86494738.0,
+ "step": 4210
+ },
+ {
+ "entropy": 0.738617730140686,
+ "epoch": 7.7716390423572745,
+ "grad_norm": 0.4486972391605377,
+ "learning_rate": 1.2995293928228385e-05,
+ "loss": 0.003850420191884041,
+ "mean_token_accuracy": 0.998667311668396,
+ "num_tokens": 86700730.0,
+ "step": 4220
+ },
+ {
+ "entropy": 0.7406526923179626,
+ "epoch": 7.790055248618785,
+ "grad_norm": 0.5896158218383789,
+ "learning_rate": 1.2791180152891396e-05,
+ "loss": 0.004078804701566696,
+ "mean_token_accuracy": 0.9987831771373749,
+ "num_tokens": 86905871.0,
+ "step": 4230
+ },
+ {
+ "entropy": 0.7394271969795227,
+ "epoch": 7.808471454880294,
+ "grad_norm": 0.5551350116729736,
+ "learning_rate": 1.2588446703409552e-05,
+ "loss": 0.004226792231202125,
+ "mean_token_accuracy": 0.9985223591327668,
+ "num_tokens": 87111128.0,
+ "step": 4240
+ },
+ {
+ "entropy": 0.7396899223327636,
+ "epoch": 7.826887661141805,
+ "grad_norm": 0.48465287685394287,
+ "learning_rate": 1.23871011005326e-05,
+ "loss": 0.004565985128283501,
+ "mean_token_accuracy": 0.9984864890575409,
+ "num_tokens": 87316264.0,
+ "step": 4250
+ },
+ {
+ "entropy": 0.7409733414649964,
+ "epoch": 7.845303867403315,
+ "grad_norm": 0.44551214575767517,
+ "learning_rate": 1.218715081352571e-05,
+ "loss": 0.004014456272125244,
+ "mean_token_accuracy": 0.9988965094089508,
+ "num_tokens": 87521547.0,
+ "step": 4260
+ },
+ {
+ "entropy": 0.7397344529628753,
+ "epoch": 7.863720073664825,
+ "grad_norm": 0.5410996079444885,
+ "learning_rate": 1.198860325989235e-05,
+ "loss": 0.0038732051849365234,
+ "mean_token_accuracy": 0.9988058865070343,
+ "num_tokens": 87727075.0,
+ "step": 4270
+ },
+ {
+ "entropy": 0.7383821964263916,
+ "epoch": 7.8821362799263355,
+ "grad_norm": 0.3724612891674042,
+ "learning_rate": 1.1791465805099183e-05,
+ "loss": 0.0038180787116289137,
+ "mean_token_accuracy": 0.9988650500774383,
+ "num_tokens": 87932399.0,
+ "step": 4280
+ },
+ {
+ "entropy": 0.73704674243927,
+ "epoch": 7.900552486187845,
+ "grad_norm": 0.44809216260910034,
+ "learning_rate": 1.1595745762302779e-05,
+ "loss": 0.0037666790187358854,
+ "mean_token_accuracy": 0.9988551497459411,
+ "num_tokens": 88138197.0,
+ "step": 4290
+ },
+ {
+ "entropy": 0.7348978996276856,
+ "epoch": 7.918968692449355,
+ "grad_norm": 0.3487635850906372,
+ "learning_rate": 1.140145039207836e-05,
+ "loss": 0.0034891828894615174,
+ "mean_token_accuracy": 0.9990123450756073,
+ "num_tokens": 88343771.0,
+ "step": 4300
+ },
+ {
+ "entropy": 0.7349947333335877,
+ "epoch": 7.9373848987108655,
+ "grad_norm": 0.45597800612449646,
+ "learning_rate": 1.1208586902150458e-05,
+ "loss": 0.0037573061883449553,
+ "mean_token_accuracy": 0.9988206088542938,
+ "num_tokens": 88549078.0,
+ "step": 4310
+ },
+ {
+ "entropy": 0.7384503066539765,
+ "epoch": 7.955801104972376,
+ "grad_norm": 0.4761682450771332,
+ "learning_rate": 1.1017162447125484e-05,
+ "loss": 0.004058422148227691,
+ "mean_token_accuracy": 0.9988016963005066,
+ "num_tokens": 88754354.0,
+ "step": 4320
+ },
+ {
+ "entropy": 0.7428180873394012,
+ "epoch": 7.974217311233886,
+ "grad_norm": 0.4685237407684326,
+ "learning_rate": 1.0827184128226392e-05,
+ "loss": 0.003867045044898987,
+ "mean_token_accuracy": 0.998711907863617,
+ "num_tokens": 88959534.0,
+ "step": 4330
+ },
+ {
+ "entropy": 0.7457234025001526,
+ "epoch": 7.9926335174953955,
+ "grad_norm": 0.35596850514411926,
+ "learning_rate": 1.0638658993029154e-05,
+ "loss": 0.0037776529788970947,
+ "mean_token_accuracy": 0.9989305913448334,
+ "num_tokens": 89164857.0,
+ "step": 4340
+ },
+ {
+ "epoch": 8.0,
+ "eval_entropy": 0.7504938332930855,
+ "eval_loss": 0.08306439220905304,
+ "eval_mean_token_accuracy": 0.980349570253621,
+ "eval_num_tokens": 89247188.0,
+ "eval_runtime": 10.0529,
+ "eval_samples_per_second": 363.875,
+ "eval_steps_per_second": 11.439,
+ "step": 4344
+ },
+ {
+ "entropy": 0.7459707975387573,
+ "epoch": 8.011049723756907,
+ "grad_norm": 0.2889060974121094,
+ "learning_rate": 1.0451594035201378e-05,
+ "loss": 0.003062780387699604,
+ "mean_token_accuracy": 0.9991089224815368,
+ "num_tokens": 89370847.0,
+ "step": 4350
+ },
+ {
+ "entropy": 0.7482452511787414,
+ "epoch": 8.029465930018416,
+ "grad_norm": 0.2335795760154724,
+ "learning_rate": 1.0265996194242888e-05,
+ "loss": 0.0023574704304337502,
+ "mean_token_accuracy": 0.9994185745716095,
+ "num_tokens": 89576321.0,
+ "step": 4360
+ },
+ {
+ "entropy": 0.7470004737377167,
+ "epoch": 8.047882136279926,
+ "grad_norm": 0.2035285383462906,
+ "learning_rate": 1.0081872355228228e-05,
+ "loss": 0.0021786754950881004,
+ "mean_token_accuracy": 0.9996390819549561,
+ "num_tokens": 89781865.0,
+ "step": 4370
+ },
+ {
+ "entropy": 0.7470916926860809,
+ "epoch": 8.066298342541437,
+ "grad_norm": 0.2530227303504944,
+ "learning_rate": 9.899229348551275e-06,
+ "loss": 0.0022982701659202574,
+ "mean_token_accuracy": 0.9995273351669312,
+ "num_tokens": 89987004.0,
+ "step": 4380
+ },
+ {
+ "entropy": 0.7481065988540649,
+ "epoch": 8.084714548802946,
+ "grad_norm": 0.269809752702713,
+ "learning_rate": 9.718073949671857e-06,
+ "loss": 0.0022342003881931304,
+ "mean_token_accuracy": 0.9994472205638886,
+ "num_tokens": 90191825.0,
+ "step": 4390
+ },
+ {
+ "entropy": 0.745439088344574,
+ "epoch": 8.103130755064457,
+ "grad_norm": 0.29525282979011536,
+ "learning_rate": 9.538412878864423e-06,
+ "loss": 0.002189977839589119,
+ "mean_token_accuracy": 0.9995133578777313,
+ "num_tokens": 90397588.0,
+ "step": 4400
+ },
+ {
+ "entropy": 0.745042335987091,
+ "epoch": 8.121546961325967,
+ "grad_norm": 0.26536691188812256,
+ "learning_rate": 9.360252800968717e-06,
+ "loss": 0.0021448172628879547,
+ "mean_token_accuracy": 0.9994488894939423,
+ "num_tokens": 90602602.0,
+ "step": 4410
+ },
+ {
+ "entropy": 0.7413490653038025,
+ "epoch": 8.139963167587476,
+ "grad_norm": 0.5203945636749268,
+ "learning_rate": 9.183600325142538e-06,
+ "loss": 0.002386796101927757,
+ "mean_token_accuracy": 0.999308317899704,
+ "num_tokens": 90808417.0,
+ "step": 4420
+ },
+ {
+ "entropy": 0.7447272837162018,
+ "epoch": 8.158379373848987,
+ "grad_norm": 0.23244412243366241,
+ "learning_rate": 9.008462004616558e-06,
+ "loss": 0.0021626869216561317,
+ "mean_token_accuracy": 0.9995910286903381,
+ "num_tokens": 91013911.0,
+ "step": 4430
+ },
+ {
+ "entropy": 0.7487411558628082,
+ "epoch": 8.176795580110497,
+ "grad_norm": 0.2531150281429291,
+ "learning_rate": 8.834844336451237e-06,
+ "loss": 0.0023509185761213303,
+ "mean_token_accuracy": 0.9994486331939697,
+ "num_tokens": 91219200.0,
+ "step": 4440
+ },
+ {
+ "entropy": 0.7508959770202637,
+ "epoch": 8.195211786372008,
+ "grad_norm": 0.3283107876777649,
+ "learning_rate": 8.662753761295772e-06,
+ "loss": 0.0020494431257247923,
+ "mean_token_accuracy": 0.9996370017528534,
+ "num_tokens": 91424124.0,
+ "step": 4450
+ },
+ {
+ "entropy": 0.7488435864448547,
+ "epoch": 8.213627992633517,
+ "grad_norm": 0.394175261259079,
+ "learning_rate": 8.492196663149232e-06,
+ "loss": 0.0024197638034820558,
+ "mean_token_accuracy": 0.999306058883667,
+ "num_tokens": 91629365.0,
+ "step": 4460
+ },
+ {
+ "entropy": 0.7459348142147064,
+ "epoch": 8.232044198895027,
+ "grad_norm": 0.36789506673812866,
+ "learning_rate": 8.32317936912364e-06,
+ "loss": 0.0022338634356856347,
+ "mean_token_accuracy": 0.9994658648967742,
+ "num_tokens": 91834941.0,
+ "step": 4470
+ },
+ {
+ "entropy": 0.7455970704555511,
+ "epoch": 8.250460405156538,
+ "grad_norm": 0.2969403564929962,
+ "learning_rate": 8.155708149209362e-06,
+ "loss": 0.0021990347653627396,
+ "mean_token_accuracy": 0.9994347035884857,
+ "num_tokens": 92040366.0,
+ "step": 4480
+ },
+ {
+ "entropy": 0.7435900688171386,
+ "epoch": 8.268876611418047,
+ "grad_norm": 0.35975271463394165,
+ "learning_rate": 7.989789216042415e-06,
+ "loss": 0.002438249811530113,
+ "mean_token_accuracy": 0.9993879854679107,
+ "num_tokens": 92246051.0,
+ "step": 4490
+ },
+ {
+ "entropy": 0.742461520433426,
+ "epoch": 8.287292817679559,
+ "grad_norm": 0.33160826563835144,
+ "learning_rate": 7.825428724674043e-06,
+ "loss": 0.0023146603256464005,
+ "mean_token_accuracy": 0.9994353473186492,
+ "num_tokens": 92451596.0,
+ "step": 4500
+ },
+ {
+ "entropy": 0.7435722470283508,
+ "epoch": 8.305709023941068,
+ "grad_norm": 0.3440259099006653,
+ "learning_rate": 7.662632772342415e-06,
+ "loss": 0.0021770250052213667,
+ "mean_token_accuracy": 0.9994809687137604,
+ "num_tokens": 92657419.0,
+ "step": 4510
+ },
+ {
+ "entropy": 0.7460585415363312,
+ "epoch": 8.324125230202577,
+ "grad_norm": 0.24974678456783295,
+ "learning_rate": 7.501407398246369e-06,
+ "loss": 0.0020514041185379027,
+ "mean_token_accuracy": 0.9994971275329589,
+ "num_tokens": 92863210.0,
+ "step": 4520
+ },
+ {
+ "entropy": 0.7475444614887238,
+ "epoch": 8.342541436464089,
+ "grad_norm": 0.31347015500068665,
+ "learning_rate": 7.3417585833214346e-06,
+ "loss": 0.0022453794255852698,
+ "mean_token_accuracy": 0.9995283901691436,
+ "num_tokens": 93068502.0,
+ "step": 4530
+ },
+ {
+ "entropy": 0.7466561555862427,
+ "epoch": 8.360957642725598,
+ "grad_norm": 0.2352103888988495,
+ "learning_rate": 7.183692250017915e-06,
+ "loss": 0.0020875211805105208,
+ "mean_token_accuracy": 0.999623715877533,
+ "num_tokens": 93274067.0,
+ "step": 4540
+ },
+ {
+ "entropy": 0.7491689443588256,
+ "epoch": 8.37937384898711,
+ "grad_norm": 0.2557368576526642,
+ "learning_rate": 7.027214262081239e-06,
+ "loss": 0.002048984169960022,
+ "mean_token_accuracy": 0.999556976556778,
+ "num_tokens": 93479279.0,
+ "step": 4550
+ },
+ {
+ "entropy": 0.744943630695343,
+ "epoch": 8.397790055248619,
+ "grad_norm": 0.2464229315519333,
+ "learning_rate": 6.872330424334395e-06,
+ "loss": 0.002088337019085884,
+ "mean_token_accuracy": 0.9994827687740326,
+ "num_tokens": 93684930.0,
+ "step": 4560
+ },
+ {
+ "entropy": 0.7461286425590515,
+ "epoch": 8.416206261510128,
+ "grad_norm": 0.2721276879310608,
+ "learning_rate": 6.719046482462571e-06,
+ "loss": 0.0020654335618019103,
+ "mean_token_accuracy": 0.9994162619113922,
+ "num_tokens": 93889972.0,
+ "step": 4570
+ },
+ {
+ "entropy": 0.7432287812232972,
+ "epoch": 8.43462246777164,
+ "grad_norm": 0.2500509023666382,
+ "learning_rate": 6.567368122800072e-06,
+ "loss": 0.002229658514261246,
+ "mean_token_accuracy": 0.9993383109569549,
+ "num_tokens": 94095488.0,
+ "step": 4580
+ },
+ {
+ "entropy": 0.742755651473999,
+ "epoch": 8.453038674033149,
+ "grad_norm": 0.17173363268375397,
+ "learning_rate": 6.4173009721193115e-06,
+ "loss": 0.0021433889865875243,
+ "mean_token_accuracy": 0.9994635343551636,
+ "num_tokens": 94300651.0,
+ "step": 4590
+ },
+ {
+ "entropy": 0.7388956308364868,
+ "epoch": 8.47145488029466,
+ "grad_norm": 0.274360716342926,
+ "learning_rate": 6.26885059742211e-06,
+ "loss": 0.0022360695526003837,
+ "mean_token_accuracy": 0.9994634568691254,
+ "num_tokens": 94506048.0,
+ "step": 4600
+ },
+ {
+ "entropy": 0.7357347309589386,
+ "epoch": 8.48987108655617,
+ "grad_norm": 0.24777138233184814,
+ "learning_rate": 6.122022505733205e-06,
+ "loss": 0.0022206470370292664,
+ "mean_token_accuracy": 0.9994794666767121,
+ "num_tokens": 94711514.0,
+ "step": 4610
+ },
+ {
+ "entropy": 0.735917067527771,
+ "epoch": 8.50828729281768,
+ "grad_norm": 0.3161139488220215,
+ "learning_rate": 5.976822143895872e-06,
+ "loss": 0.002088923379778862,
+ "mean_token_accuracy": 0.9994975507259369,
+ "num_tokens": 94917150.0,
+ "step": 4620
+ },
+ {
+ "entropy": 0.7372638165950776,
+ "epoch": 8.52670349907919,
+ "grad_norm": 0.20879895985126495,
+ "learning_rate": 5.833254898369972e-06,
+ "loss": 0.0024028895422816277,
+ "mean_token_accuracy": 0.9993885040283204,
+ "num_tokens": 95122554.0,
+ "step": 4630
+ },
+ {
+ "entropy": 0.7353293180465699,
+ "epoch": 8.5451197053407,
+ "grad_norm": 0.21544156968593597,
+ "learning_rate": 5.69132609503204e-06,
+ "loss": 0.0022050481289625167,
+ "mean_token_accuracy": 0.9993851661682129,
+ "num_tokens": 95327539.0,
+ "step": 4640
+ },
+ {
+ "entropy": 0.7328085541725159,
+ "epoch": 8.56353591160221,
+ "grad_norm": 0.2792287766933441,
+ "learning_rate": 5.551040998977747e-06,
+ "loss": 0.0022569041699171065,
+ "mean_token_accuracy": 0.999373483657837,
+ "num_tokens": 95533608.0,
+ "step": 4650
+ },
+ {
+ "entropy": 0.7355918467044831,
+ "epoch": 8.58195211786372,
+ "grad_norm": 0.35147684812545776,
+ "learning_rate": 5.412404814326633e-06,
+ "loss": 0.001975206658244133,
+ "mean_token_accuracy": 0.9996055364608765,
+ "num_tokens": 95738975.0,
+ "step": 4660
+ },
+ {
+ "entropy": 0.7370502591133118,
+ "epoch": 8.600368324125231,
+ "grad_norm": 0.2416532039642334,
+ "learning_rate": 5.2754226840289415e-06,
+ "loss": 0.002513406053185463,
+ "mean_token_accuracy": 0.9993549644947052,
+ "num_tokens": 95944370.0,
+ "step": 4670
+ },
+ {
+ "entropy": 0.737632417678833,
+ "epoch": 8.61878453038674,
+ "grad_norm": 0.3952357769012451,
+ "learning_rate": 5.140099689674926e-06,
+ "loss": 0.001944526843726635,
+ "mean_token_accuracy": 0.9995273172855377,
+ "num_tokens": 96149509.0,
+ "step": 4680
+ },
+ {
+ "entropy": 0.7384664714336395,
+ "epoch": 8.63720073664825,
+ "grad_norm": 0.40997347235679626,
+ "learning_rate": 5.006440851306315e-06,
+ "loss": 0.00224909633398056,
+ "mean_token_accuracy": 0.9993718564510345,
+ "num_tokens": 96354896.0,
+ "step": 4690
+ },
+ {
+ "entropy": 0.7366916120052338,
+ "epoch": 8.655616942909761,
+ "grad_norm": 0.3221156597137451,
+ "learning_rate": 4.874451127230057e-06,
+ "loss": 0.001974274218082428,
+ "mean_token_accuracy": 0.9994946360588074,
+ "num_tokens": 96559981.0,
+ "step": 4700
+ },
+ {
+ "entropy": 0.7354292273521423,
+ "epoch": 8.67403314917127,
+ "grad_norm": 0.25105226039886475,
+ "learning_rate": 4.744135413834427e-06,
+ "loss": 0.002092510275542736,
+ "mean_token_accuracy": 0.9995289027690888,
+ "num_tokens": 96765568.0,
+ "step": 4710
+ },
+ {
+ "entropy": 0.7376088976860047,
+ "epoch": 8.692449355432782,
+ "grad_norm": 0.2917911410331726,
+ "learning_rate": 4.615498545407343e-06,
+ "loss": 0.0022462595254182814,
+ "mean_token_accuracy": 0.9993582189083099,
+ "num_tokens": 96971275.0,
+ "step": 4720
+ },
+ {
+ "entropy": 0.74048610329628,
+ "epoch": 8.710865561694291,
+ "grad_norm": 0.27348214387893677,
+ "learning_rate": 4.4885452939570585e-06,
+ "loss": 0.0022259410470724106,
+ "mean_token_accuracy": 0.9994804978370666,
+ "num_tokens": 97176487.0,
+ "step": 4730
+ },
+ {
+ "entropy": 0.7381387889385224,
+ "epoch": 8.7292817679558,
+ "grad_norm": 0.43880945444107056,
+ "learning_rate": 4.363280369035128e-06,
+ "loss": 0.002389534562826157,
+ "mean_token_accuracy": 0.9994222104549408,
+ "num_tokens": 97382263.0,
+ "step": 4740
+ },
+ {
+ "entropy": 0.7372830450534821,
+ "epoch": 8.747697974217312,
+ "grad_norm": 0.23599931597709656,
+ "learning_rate": 4.2397084175616885e-06,
+ "loss": 0.0020194988697767257,
+ "mean_token_accuracy": 0.9995136618614197,
+ "num_tokens": 97588269.0,
+ "step": 4750
+ },
+ {
+ "entropy": 0.7386971414089203,
+ "epoch": 8.766114180478821,
+ "grad_norm": 0.42252203822135925,
+ "learning_rate": 4.117834023653117e-06,
+ "loss": 0.0021715080365538597,
+ "mean_token_accuracy": 0.9993864893913269,
+ "num_tokens": 97793832.0,
+ "step": 4760
+ },
+ {
+ "entropy": 0.7398471057415008,
+ "epoch": 8.784530386740332,
+ "grad_norm": 0.2709618806838989,
+ "learning_rate": 3.9976617084519e-06,
+ "loss": 0.0023746009916067123,
+ "mean_token_accuracy": 0.9993088185787201,
+ "num_tokens": 97999276.0,
+ "step": 4770
+ },
+ {
+ "entropy": 0.7391557276248932,
+ "epoch": 8.802946593001842,
+ "grad_norm": 0.30807623267173767,
+ "learning_rate": 3.8791959299589895e-06,
+ "loss": 0.001992644742131233,
+ "mean_token_accuracy": 0.9994801640510559,
+ "num_tokens": 98204933.0,
+ "step": 4780
+ },
+ {
+ "entropy": 0.7370819032192231,
+ "epoch": 8.821362799263351,
+ "grad_norm": 0.25062650442123413,
+ "learning_rate": 3.762441082868373e-06,
+ "loss": 0.002125708945095539,
+ "mean_token_accuracy": 0.999417644739151,
+ "num_tokens": 98410574.0,
+ "step": 4790
+ },
+ {
+ "entropy": 0.7399656236171722,
+ "epoch": 8.839779005524862,
+ "grad_norm": 0.32383784651756287,
+ "learning_rate": 3.647401498404052e-06,
+ "loss": 0.0019155235961079598,
+ "mean_token_accuracy": 0.9995088458061219,
+ "num_tokens": 98615509.0,
+ "step": 4800
+ },
+ {
+ "entropy": 0.7371088266372681,
+ "epoch": 8.858195211786372,
+ "grad_norm": 0.2771705985069275,
+ "learning_rate": 3.5340814441594207e-06,
+ "loss": 0.0020927552133798598,
+ "mean_token_accuracy": 0.9995276153087616,
+ "num_tokens": 98820673.0,
+ "step": 4810
+ },
+ {
+ "entropy": 0.7376474678516388,
+ "epoch": 8.876611418047883,
+ "grad_norm": 0.37182608246803284,
+ "learning_rate": 3.422485123938862e-06,
+ "loss": 0.0021230582147836684,
+ "mean_token_accuracy": 0.9994983315467835,
+ "num_tokens": 99026388.0,
+ "step": 4820
+ },
+ {
+ "entropy": 0.7386386632919312,
+ "epoch": 8.895027624309392,
+ "grad_norm": 0.29156213998794556,
+ "learning_rate": 3.3126166776018763e-06,
+ "loss": 0.0022009313106536865,
+ "mean_token_accuracy": 0.9994311630725861,
+ "num_tokens": 99231572.0,
+ "step": 4830
+ },
+ {
+ "entropy": 0.7364113330841064,
+ "epoch": 8.913443830570902,
+ "grad_norm": 0.32613781094551086,
+ "learning_rate": 3.2044801809094805e-06,
+ "loss": 0.0021279999986290933,
+ "mean_token_accuracy": 0.999450010061264,
+ "num_tokens": 99437158.0,
+ "step": 4840
+ },
+ {
+ "entropy": 0.7359442055225373,
+ "epoch": 8.931860036832413,
+ "grad_norm": 0.34959548711776733,
+ "learning_rate": 3.098079645372992e-06,
+ "loss": 0.002106292359530926,
+ "mean_token_accuracy": 0.9993851602077484,
+ "num_tokens": 99642599.0,
+ "step": 4850
+ },
+ {
+ "entropy": 0.7357041001319885,
+ "epoch": 8.950276243093922,
+ "grad_norm": 0.3114016056060791,
+ "learning_rate": 2.993419018105248e-06,
+ "loss": 0.002017174661159515,
+ "mean_token_accuracy": 0.9994815111160278,
+ "num_tokens": 99848146.0,
+ "step": 4860
+ },
+ {
+ "entropy": 0.7360438585281373,
+ "epoch": 8.968692449355434,
+ "grad_norm": 0.1850976198911667,
+ "learning_rate": 2.890502181674154e-06,
+ "loss": 0.0017870433628559112,
+ "mean_token_accuracy": 0.9996066927909851,
+ "num_tokens": 100053727.0,
+ "step": 4870
+ },
+ {
+ "entropy": 0.7401692926883697,
+ "epoch": 8.987108655616943,
+ "grad_norm": 0.22801977396011353,
+ "learning_rate": 2.7893329539586678e-06,
+ "loss": 0.0018131747841835023,
+ "mean_token_accuracy": 0.9995904862880707,
+ "num_tokens": 100259212.0,
+ "step": 4880
+ },
+ {
+ "epoch": 9.0,
+ "eval_entropy": 0.7392174223194952,
+ "eval_loss": 0.08729223161935806,
+ "eval_mean_token_accuracy": 0.9803872994754625,
+ "eval_num_tokens": 100403043.0,
+ "eval_runtime": 10.0788,
+ "eval_samples_per_second": 362.941,
+ "eval_steps_per_second": 11.41,
+ "step": 4887
+ },
+ {
+ "entropy": 0.7386398851871491,
+ "epoch": 9.005524861878452,
+ "grad_norm": 0.28971442580223083,
+ "learning_rate": 2.689915088007161e-06,
+ "loss": 0.0019765887409448624,
+ "mean_token_accuracy": 0.9995899498462677,
+ "num_tokens": 100464463.0,
+ "step": 4890
+ },
+ {
+ "entropy": 0.7406698048114777,
+ "epoch": 9.023941068139964,
+ "grad_norm": 0.35152414441108704,
+ "learning_rate": 2.5922522718981822e-06,
+ "loss": 0.0015977894887328147,
+ "mean_token_accuracy": 0.9996071636676789,
+ "num_tokens": 100669624.0,
+ "step": 4900
+ },
+ {
+ "entropy": 0.739100044965744,
+ "epoch": 9.042357274401473,
+ "grad_norm": 0.1938054859638214,
+ "learning_rate": 2.496348128603693e-06,
+ "loss": 0.0015546448528766632,
+ "mean_token_accuracy": 0.9997159540653229,
+ "num_tokens": 100875003.0,
+ "step": 4910
+ },
+ {
+ "entropy": 0.7400683701038361,
+ "epoch": 9.060773480662984,
+ "grad_norm": 0.16299064457416534,
+ "learning_rate": 2.402206215854591e-06,
+ "loss": 0.0015749253332614898,
+ "mean_token_accuracy": 0.9997485220432282,
+ "num_tokens": 101080504.0,
+ "step": 4920
+ },
+ {
+ "entropy": 0.7379888653755188,
+ "epoch": 9.079189686924494,
+ "grad_norm": 0.2756253480911255,
+ "learning_rate": 2.309830026008791e-06,
+ "loss": 0.0015607805922627448,
+ "mean_token_accuracy": 0.9997011303901673,
+ "num_tokens": 101286289.0,
+ "step": 4930
+ },
+ {
+ "entropy": 0.7385160863399506,
+ "epoch": 9.097605893186003,
+ "grad_norm": 0.2883203327655792,
+ "learning_rate": 2.219222985921637e-06,
+ "loss": 0.0017442166805267333,
+ "mean_token_accuracy": 0.9997642278671265,
+ "num_tokens": 101491893.0,
+ "step": 4940
+ },
+ {
+ "entropy": 0.7401205420494079,
+ "epoch": 9.116022099447514,
+ "grad_norm": 0.13606344163417816,
+ "learning_rate": 2.1303884568187882e-06,
+ "loss": 0.0015275017358362675,
+ "mean_token_accuracy": 0.99971724152565,
+ "num_tokens": 101697507.0,
+ "step": 4950
+ },
+ {
+ "entropy": 0.7398943901062012,
+ "epoch": 9.134438305709024,
+ "grad_norm": 0.20152442157268524,
+ "learning_rate": 2.043329734171534e-06,
+ "loss": 0.0014851298183202744,
+ "mean_token_accuracy": 0.9997945368289948,
+ "num_tokens": 101902695.0,
+ "step": 4960
+ },
+ {
+ "entropy": 0.7379605591297149,
+ "epoch": 9.152854511970535,
+ "grad_norm": 0.24019353091716766,
+ "learning_rate": 1.9580500475745332e-06,
+ "loss": 0.00150354765355587,
+ "mean_token_accuracy": 0.9997339248657227,
+ "num_tokens": 102108345.0,
+ "step": 4970
+ },
+ {
+ "entropy": 0.7367536067962647,
+ "epoch": 9.171270718232044,
+ "grad_norm": 0.15596628189086914,
+ "learning_rate": 1.8745525606259972e-06,
+ "loss": 0.0015196558088064194,
+ "mean_token_accuracy": 0.9997179448604584,
+ "num_tokens": 102314461.0,
+ "step": 4980
+ },
+ {
+ "entropy": 0.7380897223949432,
+ "epoch": 9.189686924493554,
+ "grad_norm": 0.27068376541137695,
+ "learning_rate": 1.792840370810367e-06,
+ "loss": 0.0017002832144498825,
+ "mean_token_accuracy": 0.9996692836284637,
+ "num_tokens": 102519944.0,
+ "step": 4990
+ },
+ {
+ "entropy": 0.738553661108017,
+ "epoch": 9.208103130755065,
+ "grad_norm": 0.2920447289943695,
+ "learning_rate": 1.712916509383361e-06,
+ "loss": 0.001522800512611866,
+ "mean_token_accuracy": 0.9997173726558686,
+ "num_tokens": 102725507.0,
+ "step": 5000
+ },
+ {
+ "entropy": 0.7379853069782257,
+ "epoch": 9.226519337016574,
+ "grad_norm": 0.21655166149139404,
+ "learning_rate": 1.6347839412595655e-06,
+ "loss": 0.0014866959303617478,
+ "mean_token_accuracy": 0.9997638881206512,
+ "num_tokens": 102931093.0,
+ "step": 5010
+ },
+ {
+ "entropy": 0.7364933252334595,
+ "epoch": 9.244935543278086,
+ "grad_norm": 0.2438272386789322,
+ "learning_rate": 1.558445564902411e-06,
+ "loss": 0.0016015460714697838,
+ "mean_token_accuracy": 0.9996855020523071,
+ "num_tokens": 103136804.0,
+ "step": 5020
+ },
+ {
+ "entropy": 0.7388014018535614,
+ "epoch": 9.263351749539595,
+ "grad_norm": 0.19854310154914856,
+ "learning_rate": 1.4839042122166803e-06,
+ "loss": 0.0015659671276807784,
+ "mean_token_accuracy": 0.9997456073760986,
+ "num_tokens": 103341751.0,
+ "step": 5030
+ },
+ {
+ "entropy": 0.7381871581077576,
+ "epoch": 9.281767955801104,
+ "grad_norm": 0.19087830185890198,
+ "learning_rate": 1.4111626484434315e-06,
+ "loss": 0.0017243871465325356,
+ "mean_token_accuracy": 0.9996393024921417,
+ "num_tokens": 103547225.0,
+ "step": 5040
+ },
+ {
+ "entropy": 0.7398294270038605,
+ "epoch": 9.300184162062616,
+ "grad_norm": 0.20569592714309692,
+ "learning_rate": 1.340223572057414e-06,
+ "loss": 0.001436135545372963,
+ "mean_token_accuracy": 0.9998414158821106,
+ "num_tokens": 103752302.0,
+ "step": 5050
+ },
+ {
+ "entropy": 0.7395297527313233,
+ "epoch": 9.318600368324125,
+ "grad_norm": 0.2108682245016098,
+ "learning_rate": 1.2710896146669927e-06,
+ "loss": 0.0013779642060399056,
+ "mean_token_accuracy": 0.9997463762760163,
+ "num_tokens": 103957465.0,
+ "step": 5060
+ },
+ {
+ "entropy": 0.7404512584209442,
+ "epoch": 9.337016574585636,
+ "grad_norm": 0.20543107390403748,
+ "learning_rate": 1.2037633409165028e-06,
+ "loss": 0.0013825546018779277,
+ "mean_token_accuracy": 0.999826842546463,
+ "num_tokens": 104162599.0,
+ "step": 5070
+ },
+ {
+ "entropy": 0.7397530496120452,
+ "epoch": 9.355432780847146,
+ "grad_norm": 0.23482060432434082,
+ "learning_rate": 1.1382472483911e-06,
+ "loss": 0.001441533863544464,
+ "mean_token_accuracy": 0.9997948348522187,
+ "num_tokens": 104367879.0,
+ "step": 5080
+ },
+ {
+ "entropy": 0.739465343952179,
+ "epoch": 9.373848987108655,
+ "grad_norm": 0.23690862953662872,
+ "learning_rate": 1.0745437675241333e-06,
+ "loss": 0.0018115714192390442,
+ "mean_token_accuracy": 0.9996071577072143,
+ "num_tokens": 104573222.0,
+ "step": 5090
+ },
+ {
+ "entropy": 0.7405745625495911,
+ "epoch": 9.392265193370166,
+ "grad_norm": 0.1851053088903427,
+ "learning_rate": 1.0126552615069618e-06,
+ "loss": 0.0016087744385004043,
+ "mean_token_accuracy": 0.9997322618961334,
+ "num_tokens": 104778417.0,
+ "step": 5100
+ },
+ {
+ "entropy": 0.7388820052146912,
+ "epoch": 9.410681399631676,
+ "grad_norm": 0.3480280041694641,
+ "learning_rate": 9.525840262013086e-07,
+ "loss": 0.0015109233558177949,
+ "mean_token_accuracy": 0.9997011184692383,
+ "num_tokens": 104983881.0,
+ "step": 5110
+ },
+ {
+ "entropy": 0.7403645634651184,
+ "epoch": 9.429097605893187,
+ "grad_norm": 0.199057474732399,
+ "learning_rate": 8.943322900540619e-07,
+ "loss": 0.0014625045470893383,
+ "mean_token_accuracy": 0.9997631847858429,
+ "num_tokens": 105189174.0,
+ "step": 5120
+ },
+ {
+ "entropy": 0.7373388469219208,
+ "epoch": 9.447513812154696,
+ "grad_norm": 0.15488000214099884,
+ "learning_rate": 8.379022140146464e-07,
+ "loss": 0.0017985764890909195,
+ "mean_token_accuracy": 0.9995609581470489,
+ "num_tokens": 105394991.0,
+ "step": 5130
+ },
+ {
+ "entropy": 0.7373765110969543,
+ "epoch": 9.465930018416206,
+ "grad_norm": 0.18474414944648743,
+ "learning_rate": 7.832958914548328e-07,
+ "loss": 0.0015545262023806572,
+ "mean_token_accuracy": 0.9996864259243011,
+ "num_tokens": 105600647.0,
+ "step": 5140
+ },
+ {
+ "entropy": 0.7392567217350006,
+ "epoch": 9.484346224677717,
+ "grad_norm": 0.1750747412443161,
+ "learning_rate": 7.305153480910709e-07,
+ "loss": 0.0012717658653855323,
+ "mean_token_accuracy": 0.9997801303863525,
+ "num_tokens": 105806087.0,
+ "step": 5150
+ },
+ {
+ "entropy": 0.7382550954818725,
+ "epoch": 9.502762430939226,
+ "grad_norm": 0.20807236433029175,
+ "learning_rate": 6.795625419093787e-07,
+ "loss": 0.0014687830582261086,
+ "mean_token_accuracy": 0.9997487604618073,
+ "num_tokens": 106011606.0,
+ "step": 5160
+ },
+ {
+ "entropy": 0.7380134582519531,
+ "epoch": 9.521178637200737,
+ "grad_norm": 0.22601647675037384,
+ "learning_rate": 6.30439363092672e-07,
+ "loss": 0.001499163918197155,
+ "mean_token_accuracy": 0.9996694803237915,
+ "num_tokens": 106217292.0,
+ "step": 5170
+ },
+ {
+ "entropy": 0.7392662584781646,
+ "epoch": 9.539594843462247,
+ "grad_norm": 0.18030250072479248,
+ "learning_rate": 5.831476339506703e-07,
+ "loss": 0.0014147022739052773,
+ "mean_token_accuracy": 0.9997945427894592,
+ "num_tokens": 106422508.0,
+ "step": 5180
+ },
+ {
+ "entropy": 0.7376449704170227,
+ "epoch": 9.558011049723756,
+ "grad_norm": 0.18657395243644714,
+ "learning_rate": 5.376891088522684e-07,
+ "loss": 0.001451531518250704,
+ "mean_token_accuracy": 0.9997494041919708,
+ "num_tokens": 106628357.0,
+ "step": 5190
+ },
+ {
+ "entropy": 0.7384322106838226,
+ "epoch": 9.576427255985267,
+ "grad_norm": 0.18637168407440186,
+ "learning_rate": 4.940654741604822e-07,
+ "loss": 0.0015604430809617043,
+ "mean_token_accuracy": 0.9997960567474365,
+ "num_tokens": 106833931.0,
+ "step": 5200
+ },
+ {
+ "entropy": 0.7389702200889587,
+ "epoch": 9.594843462246777,
+ "grad_norm": 0.19192856550216675,
+ "learning_rate": 4.522783481698767e-07,
+ "loss": 0.0016801396384835243,
+ "mean_token_accuracy": 0.9997003376483917,
+ "num_tokens": 107039353.0,
+ "step": 5210
+ },
+ {
+ "entropy": 0.7389976680278778,
+ "epoch": 9.613259668508288,
+ "grad_norm": 0.1852940022945404,
+ "learning_rate": 4.1232928104653067e-07,
+ "loss": 0.0013099458068609239,
+ "mean_token_accuracy": 0.9997794568538666,
+ "num_tokens": 107244677.0,
+ "step": 5220
+ },
+ {
+ "entropy": 0.739892303943634,
+ "epoch": 9.631675874769797,
+ "grad_norm": 0.304728627204895,
+ "learning_rate": 3.742197547705384e-07,
+ "loss": 0.0015266045928001403,
+ "mean_token_accuracy": 0.9997328281402588,
+ "num_tokens": 107450312.0,
+ "step": 5230
+ },
+ {
+ "entropy": 0.7386184096336365,
+ "epoch": 9.650092081031307,
+ "grad_norm": 0.23618076741695404,
+ "learning_rate": 3.3795118308102e-07,
+ "loss": 0.0014404524117708206,
+ "mean_token_accuracy": 0.9997794568538666,
+ "num_tokens": 107655688.0,
+ "step": 5240
+ },
+ {
+ "entropy": 0.738778418302536,
+ "epoch": 9.668508287292818,
+ "grad_norm": 0.12527571618556976,
+ "learning_rate": 3.035249114236915e-07,
+ "loss": 0.0015100114047527312,
+ "mean_token_accuracy": 0.9997797787189484,
+ "num_tokens": 107861360.0,
+ "step": 5250
+ },
+ {
+ "entropy": 0.7354449093341827,
+ "epoch": 9.686924493554327,
+ "grad_norm": 0.22283077239990234,
+ "learning_rate": 2.70942216900949e-07,
+ "loss": 0.0015022851526737212,
+ "mean_token_accuracy": 0.999655795097351,
+ "num_tokens": 108067536.0,
+ "step": 5260
+ },
+ {
+ "entropy": 0.7414606928825378,
+ "epoch": 9.705340699815839,
+ "grad_norm": 0.21263206005096436,
+ "learning_rate": 2.402043082244898e-07,
+ "loss": 0.001539918314665556,
+ "mean_token_accuracy": 0.9998098492622376,
+ "num_tokens": 108272273.0,
+ "step": 5270
+ },
+ {
+ "entropy": 0.7401190042495728,
+ "epoch": 9.723756906077348,
+ "grad_norm": 0.15394610166549683,
+ "learning_rate": 2.1131232567046522e-07,
+ "loss": 0.0014080126769840718,
+ "mean_token_accuracy": 0.9997639358043671,
+ "num_tokens": 108477453.0,
+ "step": 5280
+ },
+ {
+ "entropy": 0.7389390110969544,
+ "epoch": 9.742173112338858,
+ "grad_norm": 0.2818741202354431,
+ "learning_rate": 1.84267341037192e-07,
+ "loss": 0.0017805691808462144,
+ "mean_token_accuracy": 0.9997964143753052,
+ "num_tokens": 108682971.0,
+ "step": 5290
+ },
+ {
+ "entropy": 0.7389884531497956,
+ "epoch": 9.760589318600369,
+ "grad_norm": 0.31309419870376587,
+ "learning_rate": 1.5907035760539534e-07,
+ "loss": 0.0017935600131750106,
+ "mean_token_accuracy": 0.9997329533100128,
+ "num_tokens": 108888381.0,
+ "step": 5300
+ },
+ {
+ "entropy": 0.7414484560489655,
+ "epoch": 9.779005524861878,
+ "grad_norm": 0.2706625163555145,
+ "learning_rate": 1.3572231010097193e-07,
+ "loss": 0.0014929558150470258,
+ "mean_token_accuracy": 0.9996992349624634,
+ "num_tokens": 109093131.0,
+ "step": 5310
+ },
+ {
+ "entropy": 0.7389127910137177,
+ "epoch": 9.79742173112339,
+ "grad_norm": 0.25215238332748413,
+ "learning_rate": 1.1422406466033431e-07,
+ "loss": 0.0015146594494581222,
+ "mean_token_accuracy": 0.999780786037445,
+ "num_tokens": 109298763.0,
+ "step": 5320
+ },
+ {
+ "entropy": 0.7388081133365632,
+ "epoch": 9.815837937384899,
+ "grad_norm": 0.18103563785552979,
+ "learning_rate": 9.457641879827006e-08,
+ "loss": 0.0014452625066041947,
+ "mean_token_accuracy": 0.9997159004211426,
+ "num_tokens": 109504011.0,
+ "step": 5330
+ },
+ {
+ "entropy": 0.7377239882946014,
+ "epoch": 9.834254143646408,
+ "grad_norm": 0.1665307879447937,
+ "learning_rate": 7.678010137835422e-08,
+ "loss": 0.0014774853363633156,
+ "mean_token_accuracy": 0.999732518196106,
+ "num_tokens": 109709558.0,
+ "step": 5340
+ },
+ {
+ "entropy": 0.7402674973011016,
+ "epoch": 9.85267034990792,
+ "grad_norm": 0.278103232383728,
+ "learning_rate": 6.083577258591544e-08,
+ "loss": 0.0013820343650877477,
+ "mean_token_accuracy": 0.999780023097992,
+ "num_tokens": 109914850.0,
+ "step": 5350
+ },
+ {
+ "entropy": 0.7407928586006165,
+ "epoch": 9.871086556169429,
+ "grad_norm": 0.20344048738479614,
+ "learning_rate": 4.674402390355548e-08,
+ "loss": 0.001439080573618412,
+ "mean_token_accuracy": 0.9997944951057434,
+ "num_tokens": 110120014.0,
+ "step": 5360
+ },
+ {
+ "entropy": 0.7369158685207366,
+ "epoch": 9.88950276243094,
+ "grad_norm": 0.20637933909893036,
+ "learning_rate": 3.450537808918908e-08,
+ "loss": 0.001433834433555603,
+ "mean_token_accuracy": 0.9997311711311341,
+ "num_tokens": 110325492.0,
+ "step": 5370
+ },
+ {
+ "entropy": 0.7403705477714538,
+ "epoch": 9.90791896869245,
+ "grad_norm": 0.1724194586277008,
+ "learning_rate": 2.4120289156653876e-08,
+ "loss": 0.0016179192811250688,
+ "mean_token_accuracy": 0.9997326374053955,
+ "num_tokens": 110530951.0,
+ "step": 5380
+ },
+ {
+ "entropy": 0.7363588571548462,
+ "epoch": 9.926335174953959,
+ "grad_norm": 0.16912443935871124,
+ "learning_rate": 1.5589142358873878e-08,
+ "loss": 0.0016466960310935973,
+ "mean_token_accuracy": 0.9997175872325897,
+ "num_tokens": 110736950.0,
+ "step": 5390
+ },
+ {
+ "entropy": 0.7375564873218536,
+ "epoch": 9.94475138121547,
+ "grad_norm": 0.1804341822862625,
+ "learning_rate": 8.912254173570889e-09,
+ "loss": 0.0014190340414643287,
+ "mean_token_accuracy": 0.9997477352619171,
+ "num_tokens": 110942519.0,
+ "step": 5400
+ },
+ {
+ "entropy": 0.7391844034194947,
+ "epoch": 9.96316758747698,
+ "grad_norm": 0.20264621078968048,
+ "learning_rate": 4.0898722915239104e-09,
+ "loss": 0.001664016954600811,
+ "mean_token_accuracy": 0.9996694087982178,
+ "num_tokens": 111147891.0,
+ "step": 5410
+ },
+ {
+ "entropy": 0.7379689931869506,
+ "epoch": 9.98158379373849,
+ "grad_norm": 0.23066288232803345,
+ "learning_rate": 1.1221756073709345e-09,
+ "loss": 0.0015935502946376801,
+ "mean_token_accuracy": 0.9997010469436646,
+ "num_tokens": 111353305.0,
+ "step": 5420
+ },
+ {
+ "entropy": 0.7381729364395142,
+ "epoch": 10.0,
+ "grad_norm": 0.25462397933006287,
+ "learning_rate": 9.274212975363128e-12,
+ "loss": 0.0016142765060067176,
+ "mean_token_accuracy": 0.9997016966342926,
+ "num_tokens": 111558957.0,
+ "step": 5430
+ },
+ {
+ "epoch": 10.0,
+ "eval_entropy": 0.7430633855902631,
+ "eval_loss": 0.08843734115362167,
+ "eval_mean_token_accuracy": 0.9804784380871316,
+ "eval_num_tokens": 111558957.0,
+ "eval_runtime": 10.0419,
+ "eval_samples_per_second": 364.275,
+ "eval_steps_per_second": 11.452,
+ "step": 5430
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 5430,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 10,
+ "save_steps": 500,
+ "stateful_callbacks": {
+ "TrainerControl": {
+ "args": {
+ "should_epoch_stop": false,
+ "should_evaluate": false,
+ "should_log": false,
+ "should_save": true,
+ "should_training_stop": true
+ },
+ "attributes": {}
+ }
+ },
+ "total_flos": 5.318202559054217e+18,
+ "train_batch_size": 32,
+ "trial_name": null,
+ "trial_params": null
+}
diff --git a/checkpoint-5430/training_args.bin b/checkpoint-5430/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/checkpoint-5430/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777
diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..34510ff0037cd50428af467a17ead5a96140a32c
--- /dev/null
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..7d75d3bb5300d205e48769cc1999073ab5971214
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+ "add_prefix_space": false,
+ "backend": "tokenizers",
+ "bos_token": null,
+ "clean_up_tokenization_spaces": false,
+ "eos_token": "<|im_end|>",
+ "errors": "replace",
+ "extra_special_tokens": [
+ "<|im_start|>",
+ "<|im_end|>",
+ "<|object_ref_start|>",
+ "<|object_ref_end|>",
+ "<|box_start|>",
+ "<|box_end|>",
+ "<|quad_start|>",
+ "<|quad_end|>",
+ "<|vision_start|>",
+ "<|vision_end|>",
+ "<|vision_pad|>",
+ "<|image_pad|>",
+ "<|video_pad|>"
+ ],
+ "is_local": false,
+ "model_max_length": 131072,
+ "pad_token": "<|endoftext|>",
+ "split_special_tokens": false,
+ "tokenizer_class": "Qwen2Tokenizer",
+ "unk_token": null
+}
diff --git a/training_args.bin b/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..6e182f9a244f56249cd86c9db6563a54fbeed7bd
--- /dev/null
+++ b/training_args.bin
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21325c9bdff5ed34f0cc34837ee67ed216c9301ab4d9b2e26f048b563564bd75
+size 5777