add aft/coin/checkpoint-64 (copied from jbostock/scimt-dispatch-models-v1)

aft/coin/checkpoint-64/README.md

@@ -0,0 +1,208 @@
+---
+base_model: /workspace/hf-dispatch-midtrain-aft-v1/hub/models--jbostock--scimt-dispatch-sft-v1/snapshots/ad24276d9d25455b528c80b4c3043438bfc32ca5/runs/20260806T143703Z/coin/checkpoint-48
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- axolotl
+- base_model:adapter:/workspace/hf-dispatch-midtrain-aft-v1/hub/models--jbostock--scimt-dispatch-sft-v1/snapshots/ad24276d9d25455b528c80b4c3043438bfc32ca5/runs/20260806T143703Z/coin/checkpoint-48
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **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]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+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
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[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

aft/coin/checkpoint-64/adapter_config.json

@@ -0,0 +1,189 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "/workspace/hf-dispatch-midtrain-aft-v1/hub/models--jbostock--scimt-dispatch-sft-v1/snapshots/ad24276d9d25455b528c80b4c3043438bfc32ca5/runs/20260806T143703Z/coin/checkpoint-48",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "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": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "37.self_attn.v_proj",
+    "47.self_attn.q_proj",
+    "language_model.layers.8.self_attn.v_proj",
+    "28.self_attn.k_proj",
+    "29.self_attn.v_proj",
+    "32.self_attn.q_proj",
+    "language_model.layers.7.self_attn.k_proj",
+    "language_model.layers.0.self_attn.q_proj",
+    "language_model.layers.5.self_attn.v_proj",
+    "language_model.layers.20.self_attn.q_proj",
+    "language_model.layers.1.self_attn.k_proj",
+    "language_model.layers.24.self_attn.k_proj",
+    "language_model.layers.12.self_attn.v_proj",
+    "language_model.layers.23.self_attn.q_proj",
+    "language_model.layers.4.self_attn.q_proj",
+    "42.self_attn.q_proj",
+    "44.self_attn.q_proj",
+    "language_model.layers.12.self_attn.k_proj",
+    "language_model.layers.5.self_attn.k_proj",
+    "34.self_attn.q_proj",
+    "language_model.layers.23.self_attn.k_proj",
+    "40.self_attn.k_proj",
+    "33.self_attn.q_proj",
+    "31.self_attn.v_proj",
+    "language_model.layers.1.self_attn.q_proj",
+    "46.self_attn.q_proj",
+    "language_model.layers.15.self_attn.q_proj",
+    "language_model.layers.6.self_attn.q_proj",
+    "language_model.layers.19.self_attn.k_proj",
+    "language_model.layers.18.self_attn.v_proj",
+    "35.self_attn.k_proj",
+    "43.self_attn.v_proj",
+    "language_model.layers.8.self_attn.k_proj",
+    "29.self_attn.k_proj",
+    "language_model.layers.11.self_attn.k_proj",
+    "language_model.layers.9.self_attn.k_proj",
+    "language_model.layers.22.self_attn.v_proj",
+    "30.self_attn.q_proj",
+    "37.self_attn.q_proj",
+    "language_model.layers.10.self_attn.k_proj",
+    "language_model.layers.9.self_attn.q_proj",
+    "language_model.layers.22.self_attn.k_proj",
+    "language_model.layers.7.self_attn.q_proj",
+    "37.self_attn.k_proj",
+    "27.self_attn.k_proj",
+    "30.self_attn.v_proj",
+    "language_model.layers.17.self_attn.v_proj",
+    "language_model.layers.14.self_attn.v_proj",
+    "42.self_attn.k_proj",
+    "down_proj",
+    "language_model.layers.23.self_attn.v_proj",
+    "language_model.layers.22.self_attn.q_proj",
+    "language_model.layers.24.self_attn.v_proj",
+    "36.self_attn.q_proj",
+    "language_model.layers.17.self_attn.k_proj",
+    "38.self_attn.q_proj",
+    "language_model.layers.13.self_attn.v_proj",
+    "language_model.layers.10.self_attn.v_proj",
+    "31.self_attn.k_proj",
+    "language_model.layers.15.self_attn.v_proj",
+    "language_model.layers.18.self_attn.q_proj",
+    "language_model.layers.4.self_attn.v_proj",
+    "language_model.layers.26.self_attn.k_proj",
+    "30.self_attn.k_proj",
+    "language_model.layers.16.self_attn.q_proj",
+    "language_model.layers.13.self_attn.k_proj",
+    "language_model.layers.26.self_attn.q_proj",
+    "32.self_attn.v_proj",
+    "language_model.layers.19.self_attn.v_proj",
+    "31.self_attn.q_proj",
+    "39.self_attn.q_proj",
+    "46.self_attn.v_proj",
+    "29.self_attn.q_proj",
+    "language_model.layers.20.self_attn.v_proj",
+    "44.self_attn.k_proj",
+    "language_model.layers.16.self_attn.k_proj",
+    "42.self_attn.v_proj",
+    "language_model.layers.0.self_attn.k_proj",
+    "language_model.layers.3.self_attn.k_proj",
+    "language_model.layers.3.self_attn.v_proj",
+    "41.self_attn.q_proj",
+    "45.self_attn.q_proj",
+    "41.self_attn.v_proj",
+    "language_model.layers.12.self_attn.q_proj",
+    "language_model.layers.21.self_attn.q_proj",
+    "32.self_attn.k_proj",
+    "28.self_attn.q_proj",
+    "gate_proj",
+    "39.self_attn.v_proj",
+    "language_model.layers.9.self_attn.v_proj",
+    "language_model.layers.15.self_attn.k_proj",
+    "language_model.layers.6.self_attn.v_proj",
+    "language_model.layers.21.self_attn.k_proj",
+    "47.self_attn.v_proj",
+    "38.self_attn.v_proj",
+    "40.self_attn.q_proj",
+    "language_model.layers.14.self_attn.k_proj",
+    "language_model.layers.4.self_attn.k_proj",
+    "language_model.layers.3.self_attn.q_proj",
+    "43.self_attn.k_proj",
+    "language_model.layers.16.self_attn.v_proj",
+    "41.self_attn.k_proj",
+    "36.self_attn.k_proj",
+    "language_model.layers.21.self_attn.v_proj",
+    "language_model.layers.26.self_attn.v_proj",
+    "27.self_attn.v_proj",
+    "language_model.layers.10.self_attn.q_proj",
+    "45.self_attn.v_proj",
+    "47.self_attn.k_proj",
+    "o_proj",
+    "40.self_attn.v_proj",
+    "language_model.layers.25.self_attn.k_proj",
+    "language_model.layers.11.self_attn.q_proj",
+    "language_model.layers.2.self_attn.v_proj",
+    "36.self_attn.v_proj",
+    "language_model.layers.2.self_attn.k_proj",
+    "34.self_attn.v_proj",
+    "39.self_attn.k_proj",
+    "language_model.layers.8.self_attn.q_proj",
+    "44.self_attn.v_proj",
+    "language_model.layers.25.self_attn.v_proj",
+    "43.self_attn.q_proj",
+    "language_model.layers.1.self_attn.v_proj",
+    "33.self_attn.k_proj",
+    "language_model.layers.24.self_attn.q_proj",
+    "language_model.layers.19.self_attn.q_proj",
+    "38.self_attn.k_proj",
+    "language_model.layers.14.self_attn.q_proj",
+    "45.self_attn.k_proj",
+    "34.self_attn.k_proj",
+    "language_model.layers.5.self_attn.q_proj",
+    "language_model.layers.6.self_attn.k_proj",
+    "language_model.layers.7.self_attn.v_proj",
+    "language_model.layers.20.self_attn.k_proj",
+    "46.self_attn.k_proj",
+    "language_model.layers.25.self_attn.q_proj",
+    "up_proj",
+    "language_model.layers.18.self_attn.k_proj",
+    "28.self_attn.v_proj",
+    "33.self_attn.v_proj",
+    "language_model.layers.17.self_attn.q_proj",
+    "35.self_attn.v_proj",
+    "language_model.layers.13.self_attn.q_proj",
+    "35.self_attn.q_proj",
+    "27.self_attn.q_proj",
+    "language_model.layers.11.self_attn.v_proj",
+    "language_model.layers.2.self_attn.q_proj",
+    "language_model.layers.0.self_attn.v_proj"
+  ],
+  "target_parameters": [],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

aft/coin/checkpoint-64/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:603f12e8cb5120c5caf2a01cadc2d7f7b2d660c7842afa3005438c9efa29dd6f
+size 1047628488

aft/coin/checkpoint-64/chat_template.jinja

@@ -0,0 +1,47 @@
+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

aft/coin/checkpoint-64/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
+size 33384567

aft/coin/checkpoint-64/tokenizer_config.json

@@ -0,0 +1,26 @@
+{
+  "backend": "tokenizers",
+  "boi_token": "<start_of_image>",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eoi_token": "<end_of_image>",
+  "eos_token": "<eos>",
+  "image_token": "<image_soft_token>",
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "<mask>",
+  "model_max_length": 131072,
+  "model_specific_special_tokens": {
+    "boi_token": "<start_of_image>",
+    "eoi_token": "<end_of_image>",
+    "image_token": "<image_soft_token>"
+  },
+  "pad_token": "<pad>",
+  "padding_side": "left",
+  "processor_class": "Gemma3Processor",
+  "sp_model_kwargs": null,
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

aft/coin/checkpoint-64/tokens_state.json

@@ -0,0 +1 @@
+{"total": 966260, "trainable": 20690}

aft/coin/checkpoint-64/trainer_state.json

@@ -0,0 +1,930 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 64,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.015625,
+      "grad_norm": 1.2216347455978394,
+      "learning_rate": 0.0,
+      "loss": 0.10302039980888367,
+      "memory/device_reserved (GiB)": 32.97,
+      "memory/max_active (GiB)": 30.93,
+      "memory/max_allocated (GiB)": 30.93,
+      "ppl": 1.10851,
+      "step": 1,
+      "tokens/total": 15100,
+      "tokens/train_per_sec_per_gpu": 6.4,
+      "tokens/trainable": 321
+    },
+    {
+      "epoch": 0.03125,
+      "grad_norm": 1.1257071495056152,
+      "learning_rate": 9.80392156862745e-07,
+      "loss": 0.11095670610666275,
+      "memory/device_reserved (GiB)": 34.09,
+      "memory/max_active (GiB)": 32.89,
+      "memory/max_allocated (GiB)": 32.89,
+      "ppl": 1.11735,
+      "step": 2,
+      "tokens/total": 30192,
+      "tokens/train_per_sec_per_gpu": 9.44,
+      "tokens/trainable": 643
+    },
+    {
+      "epoch": 0.046875,
+      "grad_norm": 1.0345200300216675,
+      "learning_rate": 1.96078431372549e-06,
+      "loss": 0.12270325422286987,
+      "memory/device_reserved (GiB)": 34.09,
+      "memory/max_active (GiB)": 32.89,
+      "memory/max_allocated (GiB)": 32.89,
+      "ppl": 1.13055,
+      "step": 3,
+      "tokens/total": 45292,
+      "tokens/train_per_sec_per_gpu": 9.49,
+      "tokens/trainable": 964
+    },
+    {
+      "epoch": 0.0625,
+      "grad_norm": 1.857430338859558,
+      "learning_rate": 2.9411764705882355e-06,
+      "loss": 0.11717943847179413,
+      "memory/device_reserved (GiB)": 34.09,
+      "memory/max_active (GiB)": 32.84,
+      "memory/max_allocated (GiB)": 32.84,
+      "ppl": 1.12432,
+      "step": 4,
+      "tokens/total": 60368,
+      "tokens/train_per_sec_per_gpu": 9.37,
+      "tokens/trainable": 1288
+    },
+    {
+      "epoch": 0.078125,
+      "grad_norm": 1.2302922010421753,
+      "learning_rate": 3.92156862745098e-06,
+      "loss": 0.10938403755426407,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.98,
+      "memory/max_allocated (GiB)": 32.98,
+      "ppl": 1.11559,
+      "step": 5,
+      "tokens/total": 75532,
+      "tokens/train_per_sec_per_gpu": 8.98,
+      "tokens/trainable": 1613
+    },
+    {
+      "epoch": 0.09375,
+      "grad_norm": 1.057422161102295,
+      "learning_rate": 4.901960784313726e-06,
+      "loss": 0.09134707599878311,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.09565,
+      "step": 6,
+      "tokens/total": 90564,
+      "tokens/train_per_sec_per_gpu": 9.29,
+      "tokens/trainable": 1932
+    },
+    {
+      "epoch": 0.109375,
+      "grad_norm": 1.0043587684631348,
+      "learning_rate": 5.882352941176471e-06,
+      "loss": 0.11501308530569077,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.93,
+      "memory/max_allocated (GiB)": 32.93,
+      "ppl": 1.12189,
+      "step": 7,
+      "tokens/total": 105708,
+      "tokens/train_per_sec_per_gpu": 9.47,
+      "tokens/trainable": 2258
+    },
+    {
+      "epoch": 0.125,
+      "grad_norm": 1.3628342151641846,
+      "learning_rate": 6.862745098039216e-06,
+      "loss": 0.0930718183517456,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.93,
+      "memory/max_allocated (GiB)": 32.93,
+      "ppl": 1.09754,
+      "step": 8,
+      "tokens/total": 120800,
+      "tokens/train_per_sec_per_gpu": 9.27,
+      "tokens/trainable": 2581
+    },
+    {
+      "epoch": 0.140625,
+      "grad_norm": 7.144162654876709,
+      "learning_rate": 7.84313725490196e-06,
+      "loss": 0.08957134187221527,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.09371,
+      "step": 9,
+      "tokens/total": 135856,
+      "tokens/train_per_sec_per_gpu": 9.25,
+      "tokens/trainable": 2903
+    },
+    {
+      "epoch": 0.15625,
+      "grad_norm": 1.8195013999938965,
+      "learning_rate": 8.823529411764707e-06,
+      "loss": 0.09562014788389206,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.93,
+      "memory/max_allocated (GiB)": 32.93,
+      "ppl": 1.10034,
+      "step": 10,
+      "tokens/total": 150972,
+      "tokens/train_per_sec_per_gpu": 9.41,
+      "tokens/trainable": 3230
+    },
+    {
+      "epoch": 0.171875,
+      "grad_norm": 1.4921270608901978,
+      "learning_rate": 9.803921568627451e-06,
+      "loss": 0.07301001250743866,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.89,
+      "memory/max_allocated (GiB)": 32.89,
+      "ppl": 1.07574,
+      "step": 11,
+      "tokens/total": 165912,
+      "tokens/train_per_sec_per_gpu": 9.3,
+      "tokens/trainable": 3549
+    },
+    {
+      "epoch": 0.1875,
+      "grad_norm": 2.656036853790283,
+      "learning_rate": 1.0784313725490197e-05,
+      "loss": 0.12023509293794632,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.12776,
+      "step": 12,
+      "tokens/total": 180904,
+      "tokens/train_per_sec_per_gpu": 9.58,
+      "tokens/trainable": 3873
+    },
+    {
+      "epoch": 0.203125,
+      "grad_norm": 2.244375228881836,
+      "learning_rate": 1.1764705882352942e-05,
+      "loss": 0.10679257661104202,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.1127,
+      "step": 13,
+      "tokens/total": 195956,
+      "tokens/train_per_sec_per_gpu": 9.53,
+      "tokens/trainable": 4198
+    },
+    {
+      "epoch": 0.21875,
+      "grad_norm": 2.5499725341796875,
+      "learning_rate": 1.2745098039215686e-05,
+      "loss": 0.10879801213741302,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.87,
+      "memory/max_allocated (GiB)": 32.87,
+      "ppl": 1.11494,
+      "step": 14,
+      "tokens/total": 211132,
+      "tokens/train_per_sec_per_gpu": 9.46,
+      "tokens/trainable": 4524
+    },
+    {
+      "epoch": 0.234375,
+      "grad_norm": 1.0387605428695679,
+      "learning_rate": 1.3725490196078432e-05,
+      "loss": 0.033274438232183456,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.03383,
+      "step": 15,
+      "tokens/total": 226244,
+      "tokens/train_per_sec_per_gpu": 9.25,
+      "tokens/trainable": 4846
+    },
+    {
+      "epoch": 0.25,
+      "grad_norm": 1.2111306190490723,
+      "learning_rate": 1.4705882352941177e-05,
+      "loss": 0.044623441994190216,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.9,
+      "memory/max_allocated (GiB)": 32.9,
+      "ppl": 1.04563,
+      "step": 16,
+      "tokens/total": 241452,
+      "tokens/train_per_sec_per_gpu": 9.47,
+      "tokens/trainable": 5168
+    },
+    {
+      "epoch": 0.265625,
+      "grad_norm": 1.1411240100860596,
+      "learning_rate": 1.568627450980392e-05,
+      "loss": 0.03423535078763962,
+      "memory/device_reserved (GiB)": 34.13,
+      "memory/max_active (GiB)": 32.9,
+      "memory/max_allocated (GiB)": 32.9,
+      "ppl": 1.03483,
+      "step": 17,
+      "tokens/total": 256420,
+      "tokens/train_per_sec_per_gpu": 9.3,
+      "tokens/trainable": 5492
+    },
+    {
+      "epoch": 0.28125,
+      "grad_norm": 1.8129017353057861,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 0.0704885795712471,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.91,
+      "memory/max_allocated (GiB)": 32.91,
+      "ppl": 1.07303,
+      "step": 18,
+      "tokens/total": 271480,
+      "tokens/train_per_sec_per_gpu": 9.74,
+      "tokens/trainable": 5820
+    },
+    {
+      "epoch": 0.296875,
+      "grad_norm": 1.7724387645721436,
+      "learning_rate": 1.7647058823529414e-05,
+      "loss": 0.041150033473968506,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.87,
+      "memory/max_allocated (GiB)": 32.87,
+      "ppl": 1.04201,
+      "step": 19,
+      "tokens/total": 286448,
+      "tokens/train_per_sec_per_gpu": 9.83,
+      "tokens/trainable": 6143
+    },
+    {
+      "epoch": 0.3125,
+      "grad_norm": 3.4146745204925537,
+      "learning_rate": 1.862745098039216e-05,
+      "loss": 0.05127734690904617,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.05261,
+      "step": 20,
+      "tokens/total": 301484,
+      "tokens/train_per_sec_per_gpu": 9.82,
+      "tokens/trainable": 6468
+    },
+    {
+      "epoch": 0.328125,
+      "grad_norm": 1.432852864265442,
+      "learning_rate": 1.9607843137254903e-05,
+      "loss": 0.06575103849172592,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.91,
+      "memory/max_allocated (GiB)": 32.91,
+      "ppl": 1.06796,
+      "step": 21,
+      "tokens/total": 316596,
+      "tokens/train_per_sec_per_gpu": 9.27,
+      "tokens/trainable": 6793
+    },
+    {
+      "epoch": 0.34375,
+      "grad_norm": 1.7974799871444702,
+      "learning_rate": 2.058823529411765e-05,
+      "loss": 0.11196839064359665,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.85,
+      "memory/max_allocated (GiB)": 32.85,
+      "ppl": 1.11848,
+      "step": 22,
+      "tokens/total": 331664,
+      "tokens/train_per_sec_per_gpu": 9.57,
+      "tokens/trainable": 7116
+    },
+    {
+      "epoch": 0.359375,
+      "grad_norm": 1.086394190788269,
+      "learning_rate": 2.1568627450980395e-05,
+      "loss": 0.06139645725488663,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.89,
+      "memory/max_allocated (GiB)": 32.89,
+      "ppl": 1.06332,
+      "step": 23,
+      "tokens/total": 346576,
+      "tokens/train_per_sec_per_gpu": 9.36,
+      "tokens/trainable": 7440
+    },
+    {
+      "epoch": 0.375,
+      "grad_norm": 0.9688929915428162,
+      "learning_rate": 2.2549019607843138e-05,
+      "loss": 0.04726419597864151,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.0484,
+      "step": 24,
+      "tokens/total": 361692,
+      "tokens/train_per_sec_per_gpu": 9.26,
+      "tokens/trainable": 7761
+    },
+    {
+      "epoch": 0.390625,
+      "grad_norm": 0.8699132800102234,
+      "learning_rate": 2.3529411764705884e-05,
+      "loss": 0.06878266483545303,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.9,
+      "memory/max_allocated (GiB)": 32.9,
+      "ppl": 1.0712,
+      "step": 25,
+      "tokens/total": 376772,
+      "tokens/train_per_sec_per_gpu": 9.31,
+      "tokens/trainable": 8085
+    },
+    {
+      "epoch": 0.40625,
+      "grad_norm": 0.6274576187133789,
+      "learning_rate": 2.4509803921568626e-05,
+      "loss": 0.05227134749293327,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.05366,
+      "step": 26,
+      "tokens/total": 391872,
+      "tokens/train_per_sec_per_gpu": 9.29,
+      "tokens/trainable": 8408
+    },
+    {
+      "epoch": 0.421875,
+      "grad_norm": 0.5680599212646484,
+      "learning_rate": 2.5490196078431373e-05,
+      "loss": 0.05167127773165703,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.05303,
+      "step": 27,
+      "tokens/total": 406948,
+      "tokens/train_per_sec_per_gpu": 9.31,
+      "tokens/trainable": 8729
+    },
+    {
+      "epoch": 0.4375,
+      "grad_norm": 2.0408191680908203,
+      "learning_rate": 2.647058823529412e-05,
+      "loss": 0.05608045309782028,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.05768,
+      "step": 28,
+      "tokens/total": 421992,
+      "tokens/train_per_sec_per_gpu": 9.58,
+      "tokens/trainable": 9050
+    },
+    {
+      "epoch": 0.453125,
+      "grad_norm": 1.388338327407837,
+      "learning_rate": 2.7450980392156865e-05,
+      "loss": 0.04565834999084473,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.87,
+      "memory/max_allocated (GiB)": 32.87,
+      "ppl": 1.04672,
+      "step": 29,
+      "tokens/total": 437040,
+      "tokens/train_per_sec_per_gpu": 10.01,
+      "tokens/trainable": 9375
+    },
+    {
+      "epoch": 0.46875,
+      "grad_norm": 0.9404810667037964,
+      "learning_rate": 2.8431372549019608e-05,
+      "loss": 0.05348985269665718,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.89,
+      "memory/max_allocated (GiB)": 32.89,
+      "ppl": 1.05495,
+      "step": 30,
+      "tokens/total": 452224,
+      "tokens/train_per_sec_per_gpu": 9.25,
+      "tokens/trainable": 9698
+    },
+    {
+      "epoch": 0.484375,
+      "grad_norm": 0.9895738959312439,
+      "learning_rate": 2.9411764705882354e-05,
+      "loss": 0.06018867343664169,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.06204,
+      "step": 31,
+      "tokens/total": 467340,
+      "tokens/train_per_sec_per_gpu": 9.52,
+      "tokens/trainable": 10021
+    },
+    {
+      "epoch": 0.5,
+      "grad_norm": 1.2041468620300293,
+      "learning_rate": 3.0392156862745097e-05,
+      "loss": 0.05625031888484955,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.98,
+      "memory/max_allocated (GiB)": 32.98,
+      "ppl": 1.05786,
+      "step": 32,
+      "tokens/total": 482372,
+      "tokens/train_per_sec_per_gpu": 8.86,
+      "tokens/trainable": 10340
+    },
+    {
+      "epoch": 0.515625,
+      "grad_norm": 0.7854158282279968,
+      "learning_rate": 3.137254901960784e-05,
+      "loss": 0.035191625356674194,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.87,
+      "memory/max_allocated (GiB)": 32.87,
+      "ppl": 1.03582,
+      "step": 33,
+      "tokens/total": 497492,
+      "tokens/train_per_sec_per_gpu": 9.46,
+      "tokens/trainable": 10662
+    },
+    {
+      "epoch": 0.53125,
+      "grad_norm": 1.2548713684082031,
+      "learning_rate": 3.235294117647059e-05,
+      "loss": 0.06512615084648132,
+      "memory/device_reserved (GiB)": 34.07,
+      "memory/max_active (GiB)": 32.84,
+      "memory/max_allocated (GiB)": 32.84,
+      "ppl": 1.06729,
+      "step": 34,
+      "tokens/total": 512508,
+      "tokens/train_per_sec_per_gpu": 9.31,
+      "tokens/trainable": 10987
+    },
+    {
+      "epoch": 0.546875,
+      "grad_norm": 0.6632980108261108,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 0.025598522275686264,
+      "memory/device_reserved (GiB)": 34.07,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.02593,
+      "step": 35,
+      "tokens/total": 527588,
+      "tokens/train_per_sec_per_gpu": 9.49,
+      "tokens/trainable": 11311
+    },
+    {
+      "epoch": 0.5625,
+      "grad_norm": 1.006252646446228,
+      "learning_rate": 3.431372549019608e-05,
+      "loss": 0.03890145197510719,
+      "memory/device_reserved (GiB)": 34.09,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.03967,
+      "step": 36,
+      "tokens/total": 542660,
+      "tokens/train_per_sec_per_gpu": 9.32,
+      "tokens/trainable": 11632
+    },
+    {
+      "epoch": 0.578125,
+      "grad_norm": 0.9295408725738525,
+      "learning_rate": 3.529411764705883e-05,
+      "loss": 0.037701867520809174,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.9,
+      "memory/max_allocated (GiB)": 32.9,
+      "ppl": 1.03842,
+      "step": 37,
+      "tokens/total": 557896,
+      "tokens/train_per_sec_per_gpu": 9.46,
+      "tokens/trainable": 11954
+    },
+    {
+      "epoch": 0.59375,
+      "grad_norm": 1.4804197549819946,
+      "learning_rate": 3.627450980392157e-05,
+      "loss": 0.04591701924800873,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.93,
+      "memory/max_allocated (GiB)": 32.93,
+      "ppl": 1.04699,
+      "step": 38,
+      "tokens/total": 573020,
+      "tokens/train_per_sec_per_gpu": 9.78,
+      "tokens/trainable": 12276
+    },
+    {
+      "epoch": 0.609375,
+      "grad_norm": 0.742081344127655,
+      "learning_rate": 3.725490196078432e-05,
+      "loss": 0.033185530453920364,
+      "memory/device_reserved (GiB)": 34.11,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.03374,
+      "step": 39,
+      "tokens/total": 588156,
+      "tokens/train_per_sec_per_gpu": 9.96,
+      "tokens/trainable": 12599
+    },
+    {
+      "epoch": 0.625,
+      "grad_norm": 1.3265546560287476,
+      "learning_rate": 3.8235294117647055e-05,
+      "loss": 0.040376171469688416,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.93,
+      "memory/max_allocated (GiB)": 32.93,
+      "ppl": 1.0412,
+      "step": 40,
+      "tokens/total": 603316,
+      "tokens/train_per_sec_per_gpu": 9.92,
+      "tokens/trainable": 12925
+    },
+    {
+      "epoch": 0.640625,
+      "grad_norm": 2.6909329891204834,
+      "learning_rate": 3.9215686274509805e-05,
+      "loss": 0.10985226929187775,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.93,
+      "memory/max_allocated (GiB)": 32.93,
+      "ppl": 1.11611,
+      "step": 41,
+      "tokens/total": 618392,
+      "tokens/train_per_sec_per_gpu": 9.75,
+      "tokens/trainable": 13249
+    },
+    {
+      "epoch": 0.65625,
+      "grad_norm": 1.7527215480804443,
+      "learning_rate": 4.0196078431372555e-05,
+      "loss": 0.024765243753790855,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.89,
+      "memory/max_allocated (GiB)": 32.89,
+      "ppl": 1.02507,
+      "step": 42,
+      "tokens/total": 633564,
+      "tokens/train_per_sec_per_gpu": 9.47,
+      "tokens/trainable": 13575
+    },
+    {
+      "epoch": 0.671875,
+      "grad_norm": 0.5866014957427979,
+      "learning_rate": 4.11764705882353e-05,
+      "loss": 0.023615673184394836,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.9,
+      "memory/max_allocated (GiB)": 32.9,
+      "ppl": 1.0239,
+      "step": 43,
+      "tokens/total": 648756,
+      "tokens/train_per_sec_per_gpu": 9.49,
+      "tokens/trainable": 13899
+    },
+    {
+      "epoch": 0.6875,
+      "grad_norm": 0.8092978596687317,
+      "learning_rate": 4.215686274509804e-05,
+      "loss": 0.031920939683914185,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.03244,
+      "step": 44,
+      "tokens/total": 663824,
+      "tokens/train_per_sec_per_gpu": 9.1,
+      "tokens/trainable": 14225
+    },
+    {
+      "epoch": 0.703125,
+      "grad_norm": 2.1983017921447754,
+      "learning_rate": 4.313725490196079e-05,
+      "loss": 0.06593477725982666,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.94,
+      "memory/max_allocated (GiB)": 32.94,
+      "ppl": 1.06816,
+      "step": 45,
+      "tokens/total": 678928,
+      "tokens/train_per_sec_per_gpu": 9.29,
+      "tokens/trainable": 14548
+    },
+    {
+      "epoch": 0.71875,
+      "grad_norm": 1.6497374773025513,
+      "learning_rate": 4.411764705882353e-05,
+      "loss": 0.0636441558599472,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.87,
+      "memory/max_allocated (GiB)": 32.87,
+      "ppl": 1.06571,
+      "step": 46,
+      "tokens/total": 694028,
+      "tokens/train_per_sec_per_gpu": 9.52,
+      "tokens/trainable": 14867
+    },
+    {
+      "epoch": 0.734375,
+      "grad_norm": 0.6046613454818726,
+      "learning_rate": 4.5098039215686275e-05,
+      "loss": 0.03061486966907978,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.92,
+      "memory/max_allocated (GiB)": 32.92,
+      "ppl": 1.03109,
+      "step": 47,
+      "tokens/total": 709252,
+      "tokens/train_per_sec_per_gpu": 9.24,
+      "tokens/trainable": 15188
+    },
+    {
+      "epoch": 0.75,
+      "grad_norm": 0.710534393787384,
+      "learning_rate": 4.607843137254902e-05,
+      "loss": 0.04126986116170883,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.86,
+      "memory/max_allocated (GiB)": 32.86,
+      "ppl": 1.04213,
+      "step": 48,
+      "tokens/total": 724220,
+      "tokens/train_per_sec_per_gpu": 9.62,
+      "tokens/trainable": 15509
+    },
+    {
+      "epoch": 0.765625,
+      "grad_norm": 1.5304338932037354,
+      "learning_rate": 4.705882352941177e-05,
+      "loss": 0.039376046508550644,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.87,
+      "memory/max_allocated (GiB)": 32.87,
+      "ppl": 1.04016,
+      "step": 49,
+      "tokens/total": 739324,
+      "tokens/train_per_sec_per_gpu": 9.31,
+      "tokens/trainable": 15835
+    },
+    {
+      "epoch": 0.78125,
+      "grad_norm": 0.5698676705360413,
+      "learning_rate": 4.803921568627452e-05,
+      "loss": 0.04340140521526337,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.9,
+      "memory/max_allocated (GiB)": 32.9,
+      "ppl": 1.04436,
+      "step": 50,
+      "tokens/total": 754292,
+      "tokens/train_per_sec_per_gpu": 9.12,
+      "tokens/trainable": 16155
+    },
+    {
+      "epoch": 0.796875,
+      "grad_norm": 1.0231661796569824,
+      "learning_rate": 4.901960784313725e-05,
+      "loss": 0.024754710495471954,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.92,
+      "memory/max_allocated (GiB)": 32.92,
+      "ppl": 1.02506,
+      "step": 51,
+      "tokens/total": 769500,
+      "tokens/train_per_sec_per_gpu": 8.8,
+      "tokens/trainable": 16477
+    },
+    {
+      "epoch": 0.8125,
+      "grad_norm": 0.7884334921836853,
+      "learning_rate": 5e-05,
+      "loss": 0.04553329944610596,
+      "memory/device_reserved (GiB)": 34.15,
+      "memory/max_active (GiB)": 32.91,
+      "memory/max_allocated (GiB)": 32.91,
+      "ppl": 1.04659,
+      "step": 52,
+      "tokens/total": 784632,
+      "tokens/train_per_sec_per_gpu": 9.51,
+      "tokens/trainable": 16802
+    },
+    {
+      "epoch": 0.828125,
+      "grad_norm": 0.9108444452285767,
+      "learning_rate": 5.0980392156862745e-05,
+      "loss": 0.03768234699964523,
+      "memory/device_reserved (GiB)": 34.19,
+      "memory/max_active (GiB)": 32.96,
+      "memory/max_allocated (GiB)": 32.96,
+      "ppl": 1.0384,
+      "step": 53,
+      "tokens/total": 799872,
+      "tokens/train_per_sec_per_gpu": 9.25,
+      "tokens/trainable": 17129
+    },
+    {
+      "epoch": 0.84375,
+      "grad_norm": 1.0287777185440063,
+      "learning_rate": 5.1960784313725495e-05,
+      "loss": 0.04326196014881134,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.99,
+      "memory/max_allocated (GiB)": 32.99,
+      "ppl": 1.04421,
+      "step": 54,
+      "tokens/total": 815068,
+      "tokens/train_per_sec_per_gpu": 9.28,
+      "tokens/trainable": 17449
+    },
+    {
+      "epoch": 0.859375,
+      "grad_norm": 1.4455161094665527,
+      "learning_rate": 5.294117647058824e-05,
+      "loss": 0.04317716136574745,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.84,
+      "memory/max_allocated (GiB)": 32.84,
+      "ppl": 1.04412,
+      "step": 55,
+      "tokens/total": 830112,
+      "tokens/train_per_sec_per_gpu": 9.11,
+      "tokens/trainable": 17773
+    },
+    {
+      "epoch": 0.875,
+      "grad_norm": 4.026546955108643,
+      "learning_rate": 5.392156862745098e-05,
+      "loss": 0.04194756969809532,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.88,
+      "memory/max_allocated (GiB)": 32.88,
+      "ppl": 1.04284,
+      "step": 56,
+      "tokens/total": 845220,
+      "tokens/train_per_sec_per_gpu": 9.75,
+      "tokens/trainable": 18100
+    },
+    {
+      "epoch": 0.890625,
+      "grad_norm": 0.5652154684066772,
+      "learning_rate": 5.490196078431373e-05,
+      "loss": 0.015385342761874199,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.9,
+      "memory/max_allocated (GiB)": 32.9,
+      "ppl": 1.0155,
+      "step": 57,
+      "tokens/total": 860320,
+      "tokens/train_per_sec_per_gpu": 9.35,
+      "tokens/trainable": 18422
+    },
+    {
+      "epoch": 0.90625,
+      "grad_norm": 0.8595533967018127,
+      "learning_rate": 5.588235294117647e-05,
+      "loss": 0.04280528798699379,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.92,
+      "memory/max_allocated (GiB)": 32.92,
+      "ppl": 1.04373,
+      "step": 58,
+      "tokens/total": 875436,
+      "tokens/train_per_sec_per_gpu": 9.56,
+      "tokens/trainable": 18747
+    },
+    {
+      "epoch": 0.921875,
+      "grad_norm": 2.064354181289673,
+      "learning_rate": 5.6862745098039215e-05,
+      "loss": 0.026272041723132133,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.92,
+      "memory/max_allocated (GiB)": 32.92,
+      "ppl": 1.02662,
+      "step": 59,
+      "tokens/total": 890572,
+      "tokens/train_per_sec_per_gpu": 9.5,
+      "tokens/trainable": 19070
+    },
+    {
+      "epoch": 0.9375,
+      "grad_norm": 0.7686307430267334,
+      "learning_rate": 5.784313725490197e-05,
+      "loss": 0.026763305068016052,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.85,
+      "memory/max_allocated (GiB)": 32.85,
+      "ppl": 1.02712,
+      "step": 60,
+      "tokens/total": 905704,
+      "tokens/train_per_sec_per_gpu": 9.55,
+      "tokens/trainable": 19395
+    },
+    {
+      "epoch": 0.953125,
+      "grad_norm": 0.45541244745254517,
+      "learning_rate": 5.882352941176471e-05,
+      "loss": 0.02685018815100193,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.92,
+      "memory/max_allocated (GiB)": 32.92,
+      "ppl": 1.02721,
+      "step": 61,
+      "tokens/total": 920844,
+      "tokens/train_per_sec_per_gpu": 9.54,
+      "tokens/trainable": 19717
+    },
+    {
+      "epoch": 0.96875,
+      "grad_norm": 0.6903733611106873,
+      "learning_rate": 5.980392156862745e-05,
+      "loss": 0.021035490557551384,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.87,
+      "memory/max_allocated (GiB)": 32.87,
+      "ppl": 1.02126,
+      "step": 62,
+      "tokens/total": 935912,
+      "tokens/train_per_sec_per_gpu": 9.31,
+      "tokens/trainable": 20043
+    },
+    {
+      "epoch": 0.984375,
+      "grad_norm": 0.47862622141838074,
+      "learning_rate": 6.078431372549019e-05,
+      "loss": 0.02428392879664898,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.93,
+      "memory/max_allocated (GiB)": 32.93,
+      "ppl": 1.02458,
+      "step": 63,
+      "tokens/total": 951164,
+      "tokens/train_per_sec_per_gpu": 8.99,
+      "tokens/trainable": 20366
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.4699679613113403,
+      "learning_rate": 6.176470588235295e-05,
+      "loss": 0.039291273802518845,
+      "memory/device_reserved (GiB)": 34.21,
+      "memory/max_active (GiB)": 32.91,
+      "memory/max_allocated (GiB)": 32.91,
+      "ppl": 1.04007,
+      "step": 64,
+      "tokens/total": 966260,
+      "tokens/train_per_sec_per_gpu": 9.07,
+      "tokens/trainable": 20690
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 2048,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 32,
+  "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": 6.631022781981504e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}