Upload 11 files

README.md

@@ -1,3 +1,202 @@
----
-license: mit
----
+---
+base_model: Qwen/Qwen3-0.6B
+library_name: peft
+---
+
+# 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 0.13.2

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-0.6B",
+  "bias": "none",
+  "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_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "q_proj",
+    "down_proj",
+    "o_proj",
+    "v_proj",
+    "k_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:883e7904a6c1a71d4ab6694d543d2975a800b0630d3bfe2653cdb3b294fb6378
+size 20236472

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_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|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_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|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 16384,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_state.json

@@ -0,0 +1,1644 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 230,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.008695652173913044,
+      "grad_norm": 17.666513442993164,
+      "learning_rate": 0.0,
+      "loss": 4.5266,
+      "step": 1
+    },
+    {
+      "epoch": 0.017391304347826087,
+      "grad_norm": 21.562305450439453,
+      "learning_rate": 1e-05,
+      "loss": 4.6683,
+      "step": 2
+    },
+    {
+      "epoch": 0.02608695652173913,
+      "grad_norm": 17.93792152404785,
+      "learning_rate": 2e-05,
+      "loss": 4.4263,
+      "step": 3
+    },
+    {
+      "epoch": 0.034782608695652174,
+      "grad_norm": 31.087865829467773,
+      "learning_rate": 3e-05,
+      "loss": 5.3455,
+      "step": 4
+    },
+    {
+      "epoch": 0.043478260869565216,
+      "grad_norm": 16.84352684020996,
+      "learning_rate": 4e-05,
+      "loss": 4.7065,
+      "step": 5
+    },
+    {
+      "epoch": 0.05217391304347826,
+      "grad_norm": 15.276086807250977,
+      "learning_rate": 5e-05,
+      "loss": 3.5936,
+      "step": 6
+    },
+    {
+      "epoch": 0.06086956521739131,
+      "grad_norm": 15.930822372436523,
+      "learning_rate": 6e-05,
+      "loss": 3.7262,
+      "step": 7
+    },
+    {
+      "epoch": 0.06956521739130435,
+      "grad_norm": 16.219757080078125,
+      "learning_rate": 7e-05,
+      "loss": 4.0023,
+      "step": 8
+    },
+    {
+      "epoch": 0.0782608695652174,
+      "grad_norm": 13.747424125671387,
+      "learning_rate": 8e-05,
+      "loss": 3.8195,
+      "step": 9
+    },
+    {
+      "epoch": 0.08695652173913043,
+      "grad_norm": 28.324934005737305,
+      "learning_rate": 9e-05,
+      "loss": 4.1877,
+      "step": 10
+    },
+    {
+      "epoch": 0.09565217391304348,
+      "grad_norm": 11.464014053344727,
+      "learning_rate": 0.0001,
+      "loss": 2.5265,
+      "step": 11
+    },
+    {
+      "epoch": 0.10434782608695652,
+      "grad_norm": 11.093965530395508,
+      "learning_rate": 9.999490215047167e-05,
+      "loss": 2.0965,
+      "step": 12
+    },
+    {
+      "epoch": 0.11304347826086956,
+      "grad_norm": 13.068178176879883,
+      "learning_rate": 9.997960964140947e-05,
+      "loss": 2.4444,
+      "step": 13
+    },
+    {
+      "epoch": 0.12173913043478261,
+      "grad_norm": 12.251531600952148,
+      "learning_rate": 9.995412559116979e-05,
+      "loss": 2.6647,
+      "step": 14
+    },
+    {
+      "epoch": 0.13043478260869565,
+      "grad_norm": 15.61241340637207,
+      "learning_rate": 9.991845519630678e-05,
+      "loss": 2.9974,
+      "step": 15
+    },
+    {
+      "epoch": 0.1391304347826087,
+      "grad_norm": 11.974143981933594,
+      "learning_rate": 9.987260573051269e-05,
+      "loss": 1.9998,
+      "step": 16
+    },
+    {
+      "epoch": 0.14782608695652175,
+      "grad_norm": 11.015225410461426,
+      "learning_rate": 9.981658654313457e-05,
+      "loss": 2.1787,
+      "step": 17
+    },
+    {
+      "epoch": 0.1565217391304348,
+      "grad_norm": 10.231270790100098,
+      "learning_rate": 9.975040905726798e-05,
+      "loss": 1.3827,
+      "step": 18
+    },
+    {
+      "epoch": 0.16521739130434782,
+      "grad_norm": 10.304975509643555,
+      "learning_rate": 9.967408676742751e-05,
+      "loss": 1.8596,
+      "step": 19
+    },
+    {
+      "epoch": 0.17391304347826086,
+      "grad_norm": 11.838497161865234,
+      "learning_rate": 9.958763523679514e-05,
+      "loss": 1.8492,
+      "step": 20
+    },
+    {
+      "epoch": 0.1826086956521739,
+      "grad_norm": 14.471789360046387,
+      "learning_rate": 9.949107209404665e-05,
+      "loss": 1.4539,
+      "step": 21
+    },
+    {
+      "epoch": 0.19130434782608696,
+      "grad_norm": 13.361359596252441,
+      "learning_rate": 9.938441702975689e-05,
+      "loss": 2.3912,
+      "step": 22
+    },
+    {
+      "epoch": 0.2,
+      "grad_norm": 9.12480640411377,
+      "learning_rate": 9.926769179238466e-05,
+      "loss": 1.188,
+      "step": 23
+    },
+    {
+      "epoch": 0.20869565217391303,
+      "grad_norm": 11.180279731750488,
+      "learning_rate": 9.914092018383778e-05,
+      "loss": 1.6116,
+      "step": 24
+    },
+    {
+      "epoch": 0.21739130434782608,
+      "grad_norm": 11.030242919921875,
+      "learning_rate": 9.900412805461967e-05,
+      "loss": 1.9637,
+      "step": 25
+    },
+    {
+      "epoch": 0.22608695652173913,
+      "grad_norm": 9.22864818572998,
+      "learning_rate": 9.885734329855798e-05,
+      "loss": 1.8468,
+      "step": 26
+    },
+    {
+      "epoch": 0.23478260869565218,
+      "grad_norm": 14.804508209228516,
+      "learning_rate": 9.870059584711668e-05,
+      "loss": 0.9744,
+      "step": 27
+    },
+    {
+      "epoch": 0.24347826086956523,
+      "grad_norm": 11.706965446472168,
+      "learning_rate": 9.853391766329263e-05,
+      "loss": 1.9317,
+      "step": 28
+    },
+    {
+      "epoch": 0.25217391304347825,
+      "grad_norm": 11.159095764160156,
+      "learning_rate": 9.835734273509786e-05,
+      "loss": 1.7246,
+      "step": 29
+    },
+    {
+      "epoch": 0.2608695652173913,
+      "grad_norm": 8.815181732177734,
+      "learning_rate": 9.817090706862895e-05,
+      "loss": 1.2355,
+      "step": 30
+    },
+    {
+      "epoch": 0.26956521739130435,
+      "grad_norm": 11.841676712036133,
+      "learning_rate": 9.797464868072488e-05,
+      "loss": 3.3564,
+      "step": 31
+    },
+    {
+      "epoch": 0.2782608695652174,
+      "grad_norm": 15.580975532531738,
+      "learning_rate": 9.776860759121484e-05,
+      "loss": 2.0827,
+      "step": 32
+    },
+    {
+      "epoch": 0.28695652173913044,
+      "grad_norm": 8.459304809570312,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 1.2298,
+      "step": 33
+    },
+    {
+      "epoch": 0.2956521739130435,
+      "grad_norm": 9.495912551879883,
+      "learning_rate": 9.73273473522745e-05,
+      "loss": 1.3418,
+      "step": 34
+    },
+    {
+      "epoch": 0.30434782608695654,
+      "grad_norm": 13.812179565429688,
+      "learning_rate": 9.709221818197624e-05,
+      "loss": 1.6258,
+      "step": 35
+    },
+    {
+      "epoch": 0.3130434782608696,
+      "grad_norm": 9.413185119628906,
+      "learning_rate": 9.68474862499881e-05,
+      "loss": 1.168,
+      "step": 36
+    },
+    {
+      "epoch": 0.3217391304347826,
+      "grad_norm": 13.937978744506836,
+      "learning_rate": 9.659320146057262e-05,
+      "loss": 1.4273,
+      "step": 37
+    },
+    {
+      "epoch": 0.33043478260869563,
+      "grad_norm": 9.947927474975586,
+      "learning_rate": 9.632941566595357e-05,
+      "loss": 1.3857,
+      "step": 38
+    },
+    {
+      "epoch": 0.3391304347826087,
+      "grad_norm": 10.392467498779297,
+      "learning_rate": 9.60561826557425e-05,
+      "loss": 0.7599,
+      "step": 39
+    },
+    {
+      "epoch": 0.34782608695652173,
+      "grad_norm": 12.23806381225586,
+      "learning_rate": 9.577355814597031e-05,
+      "loss": 2.0868,
+      "step": 40
+    },
+    {
+      "epoch": 0.3565217391304348,
+      "grad_norm": 6.938766002655029,
+      "learning_rate": 9.548159976772592e-05,
+      "loss": 0.4847,
+      "step": 41
+    },
+    {
+      "epoch": 0.3652173913043478,
+      "grad_norm": 9.958048820495605,
+      "learning_rate": 9.518036705540458e-05,
+      "loss": 1.609,
+      "step": 42
+    },
+    {
+      "epoch": 0.3739130434782609,
+      "grad_norm": 11.910273551940918,
+      "learning_rate": 9.486992143456792e-05,
+      "loss": 0.7905,
+      "step": 43
+    },
+    {
+      "epoch": 0.3826086956521739,
+      "grad_norm": 8.610260963439941,
+      "learning_rate": 9.45503262094184e-05,
+      "loss": 1.4258,
+      "step": 44
+    },
+    {
+      "epoch": 0.391304347826087,
+      "grad_norm": 7.331972122192383,
+      "learning_rate": 9.422164654989072e-05,
+      "loss": 0.9974,
+      "step": 45
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 8.997504234313965,
+      "learning_rate": 9.388394947836279e-05,
+      "loss": 1.1141,
+      "step": 46
+    },
+    {
+      "epoch": 0.40869565217391307,
+      "grad_norm": 8.395123481750488,
+      "learning_rate": 9.353730385598887e-05,
+      "loss": 0.9686,
+      "step": 47
+    },
+    {
+      "epoch": 0.41739130434782606,
+      "grad_norm": 8.04129695892334,
+      "learning_rate": 9.318178036865785e-05,
+      "loss": 0.3619,
+      "step": 48
+    },
+    {
+      "epoch": 0.4260869565217391,
+      "grad_norm": 5.985868453979492,
+      "learning_rate": 9.281745151257946e-05,
+      "loss": 0.6158,
+      "step": 49
+    },
+    {
+      "epoch": 0.43478260869565216,
+      "grad_norm": 12.913836479187012,
+      "learning_rate": 9.244439157950114e-05,
+      "loss": 1.6131,
+      "step": 50
+    },
+    {
+      "epoch": 0.4434782608695652,
+      "grad_norm": 7.429251194000244,
+      "learning_rate": 9.206267664155907e-05,
+      "loss": 0.8433,
+      "step": 51
+    },
+    {
+      "epoch": 0.45217391304347826,
+      "grad_norm": 8.468223571777344,
+      "learning_rate": 9.167238453576589e-05,
+      "loss": 0.8761,
+      "step": 52
+    },
+    {
+      "epoch": 0.4608695652173913,
+      "grad_norm": 10.999699592590332,
+      "learning_rate": 9.12735948481387e-05,
+      "loss": 1.7577,
+      "step": 53
+    },
+    {
+      "epoch": 0.46956521739130436,
+      "grad_norm": 8.069478988647461,
+      "learning_rate": 9.086638889747035e-05,
+      "loss": 1.1008,
+      "step": 54
+    },
+    {
+      "epoch": 0.4782608695652174,
+      "grad_norm": 9.439266204833984,
+      "learning_rate": 9.045084971874738e-05,
+      "loss": 0.7977,
+      "step": 55
+    },
+    {
+      "epoch": 0.48695652173913045,
+      "grad_norm": 8.834954261779785,
+      "learning_rate": 9.002706204621803e-05,
+      "loss": 1.2913,
+      "step": 56
+    },
+    {
+      "epoch": 0.4956521739130435,
+      "grad_norm": 14.728219032287598,
+      "learning_rate": 8.959511229611376e-05,
+      "loss": 1.566,
+      "step": 57
+    },
+    {
+      "epoch": 0.5043478260869565,
+      "grad_norm": 14.64725112915039,
+      "learning_rate": 8.915508854902778e-05,
+      "loss": 0.7095,
+      "step": 58
+    },
+    {
+      "epoch": 0.5130434782608696,
+      "grad_norm": 17.302316665649414,
+      "learning_rate": 8.870708053195413e-05,
+      "loss": 1.1349,
+      "step": 59
+    },
+    {
+      "epoch": 0.5217391304347826,
+      "grad_norm": 13.19262981414795,
+      "learning_rate": 8.825117959999116e-05,
+      "loss": 1.0779,
+      "step": 60
+    },
+    {
+      "epoch": 0.5304347826086957,
+      "grad_norm": 10.02542495727539,
+      "learning_rate": 8.778747871771292e-05,
+      "loss": 0.7204,
+      "step": 61
+    },
+    {
+      "epoch": 0.5391304347826087,
+      "grad_norm": 2.038048505783081,
+      "learning_rate": 8.731607244021236e-05,
+      "loss": 0.0617,
+      "step": 62
+    },
+    {
+      "epoch": 0.5478260869565217,
+      "grad_norm": 8.415672302246094,
+      "learning_rate": 8.683705689382024e-05,
+      "loss": 1.199,
+      "step": 63
+    },
+    {
+      "epoch": 0.5565217391304348,
+      "grad_norm": 10.012858390808105,
+      "learning_rate": 8.635052975650369e-05,
+      "loss": 1.442,
+      "step": 64
+    },
+    {
+      "epoch": 0.5652173913043478,
+      "grad_norm": 10.651287078857422,
+      "learning_rate": 8.585659023794818e-05,
+      "loss": 1.6201,
+      "step": 65
+    },
+    {
+      "epoch": 0.5739130434782609,
+      "grad_norm": 8.589141845703125,
+      "learning_rate": 8.535533905932738e-05,
+      "loss": 1.1879,
+      "step": 66
+    },
+    {
+      "epoch": 0.5826086956521739,
+      "grad_norm": 9.711124420166016,
+      "learning_rate": 8.484687843276469e-05,
+      "loss": 1.2133,
+      "step": 67
+    },
+    {
+      "epoch": 0.591304347826087,
+      "grad_norm": 9.756671905517578,
+      "learning_rate": 8.433131204049067e-05,
+      "loss": 1.1111,
+      "step": 68
+    },
+    {
+      "epoch": 0.6,
+      "grad_norm": 10.514204025268555,
+      "learning_rate": 8.380874501370097e-05,
+      "loss": 0.4235,
+      "step": 69
+    },
+    {
+      "epoch": 0.6086956521739131,
+      "grad_norm": 6.404147148132324,
+      "learning_rate": 8.327928391111841e-05,
+      "loss": 0.1837,
+      "step": 70
+    },
+    {
+      "epoch": 0.6173913043478261,
+      "grad_norm": 12.888923645019531,
+      "learning_rate": 8.274303669726426e-05,
+      "loss": 1.2996,
+      "step": 71
+    },
+    {
+      "epoch": 0.6260869565217392,
+      "grad_norm": 12.083588600158691,
+      "learning_rate": 8.220011272044277e-05,
+      "loss": 0.3065,
+      "step": 72
+    },
+    {
+      "epoch": 0.6347826086956522,
+      "grad_norm": 7.7776665687561035,
+      "learning_rate": 8.165062269044353e-05,
+      "loss": 0.7543,
+      "step": 73
+    },
+    {
+      "epoch": 0.6434782608695652,
+      "grad_norm": 8.809155464172363,
+      "learning_rate": 8.109467865596612e-05,
+      "loss": 1.0967,
+      "step": 74
+    },
+    {
+      "epoch": 0.6521739130434783,
+      "grad_norm": 18.32766342163086,
+      "learning_rate": 8.053239398177191e-05,
+      "loss": 2.4623,
+      "step": 75
+    },
+    {
+      "epoch": 0.6608695652173913,
+      "grad_norm": 12.604337692260742,
+      "learning_rate": 7.996388332556735e-05,
+      "loss": 1.7208,
+      "step": 76
+    },
+    {
+      "epoch": 0.6695652173913044,
+      "grad_norm": 12.69120979309082,
+      "learning_rate": 7.938926261462366e-05,
+      "loss": 0.883,
+      "step": 77
+    },
+    {
+      "epoch": 0.6782608695652174,
+      "grad_norm": 12.506765365600586,
+      "learning_rate": 7.880864902213765e-05,
+      "loss": 1.83,
+      "step": 78
+    },
+    {
+      "epoch": 0.6869565217391305,
+      "grad_norm": 8.688498497009277,
+      "learning_rate": 7.822216094333847e-05,
+      "loss": 0.9735,
+      "step": 79
+    },
+    {
+      "epoch": 0.6956521739130435,
+      "grad_norm": 14.368943214416504,
+      "learning_rate": 7.762991797134514e-05,
+      "loss": 2.193,
+      "step": 80
+    },
+    {
+      "epoch": 0.7043478260869566,
+      "grad_norm": 6.735222339630127,
+      "learning_rate": 7.703204087277988e-05,
+      "loss": 0.6682,
+      "step": 81
+    },
+    {
+      "epoch": 0.7130434782608696,
+      "grad_norm": 15.296740531921387,
+      "learning_rate": 7.64286515631421e-05,
+      "loss": 0.9763,
+      "step": 82
+    },
+    {
+      "epoch": 0.7217391304347827,
+      "grad_norm": 16.399547576904297,
+      "learning_rate": 7.58198730819481e-05,
+      "loss": 2.4849,
+      "step": 83
+    },
+    {
+      "epoch": 0.7304347826086957,
+      "grad_norm": 11.530505180358887,
+      "learning_rate": 7.52058295676416e-05,
+      "loss": 1.8405,
+      "step": 84
+    },
+    {
+      "epoch": 0.7391304347826086,
+      "grad_norm": 7.331994533538818,
+      "learning_rate": 7.45866462322802e-05,
+      "loss": 0.9336,
+      "step": 85
+    },
+    {
+      "epoch": 0.7478260869565218,
+      "grad_norm": 20.28060531616211,
+      "learning_rate": 7.396244933600285e-05,
+      "loss": 1.2999,
+      "step": 86
+    },
+    {
+      "epoch": 0.7565217391304347,
+      "grad_norm": 8.961277961730957,
+      "learning_rate": 7.333336616128369e-05,
+      "loss": 1.0094,
+      "step": 87
+    },
+    {
+      "epoch": 0.7652173913043478,
+      "grad_norm": 7.146012306213379,
+      "learning_rate": 7.269952498697734e-05,
+      "loss": 0.8734,
+      "step": 88
+    },
+    {
+      "epoch": 0.7739130434782608,
+      "grad_norm": 12.372821807861328,
+      "learning_rate": 7.206105506216106e-05,
+      "loss": 1.5859,
+      "step": 89
+    },
+    {
+      "epoch": 0.782608695652174,
+      "grad_norm": 8.59324836730957,
+      "learning_rate": 7.141808657977907e-05,
+      "loss": 1.0735,
+      "step": 90
+    },
+    {
+      "epoch": 0.7913043478260869,
+      "grad_norm": 6.564212799072266,
+      "learning_rate": 7.077075065009433e-05,
+      "loss": 0.8069,
+      "step": 91
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 10.416309356689453,
+      "learning_rate": 7.01191792739534e-05,
+      "loss": 1.0411,
+      "step": 92
+    },
+    {
+      "epoch": 0.808695652173913,
+      "grad_norm": 11.143993377685547,
+      "learning_rate": 6.946350531586959e-05,
+      "loss": 0.8595,
+      "step": 93
+    },
+    {
+      "epoch": 0.8173913043478261,
+      "grad_norm": 9.861275672912598,
+      "learning_rate": 6.880386247692999e-05,
+      "loss": 0.9368,
+      "step": 94
+    },
+    {
+      "epoch": 0.8260869565217391,
+      "grad_norm": 10.142037391662598,
+      "learning_rate": 6.814038526753205e-05,
+      "loss": 1.5361,
+      "step": 95
+    },
+    {
+      "epoch": 0.8347826086956521,
+      "grad_norm": 6.418692588806152,
+      "learning_rate": 6.747320897995493e-05,
+      "loss": 0.7167,
+      "step": 96
+    },
+    {
+      "epoch": 0.8434782608695652,
+      "grad_norm": 4.113799571990967,
+      "learning_rate": 6.680246966077151e-05,
+      "loss": 0.3922,
+      "step": 97
+    },
+    {
+      "epoch": 0.8521739130434782,
+      "grad_norm": 10.264501571655273,
+      "learning_rate": 6.61283040831067e-05,
+      "loss": 2.2257,
+      "step": 98
+    },
+    {
+      "epoch": 0.8608695652173913,
+      "grad_norm": 15.571903228759766,
+      "learning_rate": 6.545084971874738e-05,
+      "loss": 2.4521,
+      "step": 99
+    },
+    {
+      "epoch": 0.8695652173913043,
+      "grad_norm": 7.295588970184326,
+      "learning_rate": 6.477024471011001e-05,
+      "loss": 0.7105,
+      "step": 100
+    },
+    {
+      "epoch": 0.8782608695652174,
+      "grad_norm": 11.271722793579102,
+      "learning_rate": 6.408662784207149e-05,
+      "loss": 2.0426,
+      "step": 101
+    },
+    {
+      "epoch": 0.8869565217391304,
+      "grad_norm": 8.137569427490234,
+      "learning_rate": 6.340013851366896e-05,
+      "loss": 1.3701,
+      "step": 102
+    },
+    {
+      "epoch": 0.8956521739130435,
+      "grad_norm": 10.493950843811035,
+      "learning_rate": 6.271091670967436e-05,
+      "loss": 1.1864,
+      "step": 103
+    },
+    {
+      "epoch": 0.9043478260869565,
+      "grad_norm": 9.262134552001953,
+      "learning_rate": 6.201910297204962e-05,
+      "loss": 1.0413,
+      "step": 104
+    },
+    {
+      "epoch": 0.9130434782608695,
+      "grad_norm": 10.564716339111328,
+      "learning_rate": 6.132483837128823e-05,
+      "loss": 2.303,
+      "step": 105
+    },
+    {
+      "epoch": 0.9217391304347826,
+      "grad_norm": 4.90865421295166,
+      "learning_rate": 6.062826447764883e-05,
+      "loss": 0.3802,
+      "step": 106
+    },
+    {
+      "epoch": 0.9304347826086956,
+      "grad_norm": 9.297486305236816,
+      "learning_rate": 5.992952333228728e-05,
+      "loss": 1.2512,
+      "step": 107
+    },
+    {
+      "epoch": 0.9391304347826087,
+      "grad_norm": 8.179728507995605,
+      "learning_rate": 5.9228757418292266e-05,
+      "loss": 0.4771,
+      "step": 108
+    },
+    {
+      "epoch": 0.9478260869565217,
+      "grad_norm": 18.19074249267578,
+      "learning_rate": 5.85261096316312e-05,
+      "loss": 2.0378,
+      "step": 109
+    },
+    {
+      "epoch": 0.9565217391304348,
+      "grad_norm": 4.808218955993652,
+      "learning_rate": 5.782172325201155e-05,
+      "loss": 0.14,
+      "step": 110
+    },
+    {
+      "epoch": 0.9652173913043478,
+      "grad_norm": 15.154193878173828,
+      "learning_rate": 5.7115741913664264e-05,
+      "loss": 1.3785,
+      "step": 111
+    },
+    {
+      "epoch": 0.9739130434782609,
+      "grad_norm": 7.520651340484619,
+      "learning_rate": 5.640830957605465e-05,
+      "loss": 0.7942,
+      "step": 112
+    },
+    {
+      "epoch": 0.9826086956521739,
+      "grad_norm": 11.108746528625488,
+      "learning_rate": 5.569957049452703e-05,
+      "loss": 2.0485,
+      "step": 113
+    },
+    {
+      "epoch": 0.991304347826087,
+      "grad_norm": 8.641176223754883,
+      "learning_rate": 5.4989669190889136e-05,
+      "loss": 1.1212,
+      "step": 114
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 6.526795387268066,
+      "learning_rate": 5.427875042394199e-05,
+      "loss": 0.7003,
+      "step": 115
+    },
+    {
+      "epoch": 1.008695652173913,
+      "grad_norm": 7.168546676635742,
+      "learning_rate": 5.3566959159961615e-05,
+      "loss": 1.0922,
+      "step": 116
+    },
+    {
+      "epoch": 1.017391304347826,
+      "grad_norm": 8.669252395629883,
+      "learning_rate": 5.2854440543138406e-05,
+      "loss": 0.8577,
+      "step": 117
+    },
+    {
+      "epoch": 1.0260869565217392,
+      "grad_norm": 7.540567398071289,
+      "learning_rate": 5.2141339865980134e-05,
+      "loss": 0.7922,
+      "step": 118
+    },
+    {
+      "epoch": 1.0347826086956522,
+      "grad_norm": 7.116650581359863,
+      "learning_rate": 5.142780253968481e-05,
+      "loss": 0.7596,
+      "step": 119
+    },
+    {
+      "epoch": 1.0434782608695652,
+      "grad_norm": 8.778299331665039,
+      "learning_rate": 5.0713974064489367e-05,
+      "loss": 2.5862,
+      "step": 120
+    },
+    {
+      "epoch": 1.0521739130434782,
+      "grad_norm": 8.101160049438477,
+      "learning_rate": 5e-05,
+      "loss": 0.6208,
+      "step": 121
+    },
+    {
+      "epoch": 1.0608695652173914,
+      "grad_norm": 5.799407958984375,
+      "learning_rate": 4.928602593551065e-05,
+      "loss": 0.5619,
+      "step": 122
+    },
+    {
+      "epoch": 1.0695652173913044,
+      "grad_norm": 5.000042915344238,
+      "learning_rate": 4.85721974603152e-05,
+      "loss": 0.2951,
+      "step": 123
+    },
+    {
+      "epoch": 1.0782608695652174,
+      "grad_norm": 8.474133491516113,
+      "learning_rate": 4.7858660134019884e-05,
+      "loss": 1.2103,
+      "step": 124
+    },
+    {
+      "epoch": 1.0869565217391304,
+      "grad_norm": 10.887007713317871,
+      "learning_rate": 4.71455594568616e-05,
+      "loss": 1.7797,
+      "step": 125
+    },
+    {
+      "epoch": 1.0956521739130434,
+      "grad_norm": 7.625034809112549,
+      "learning_rate": 4.643304084003839e-05,
+      "loss": 0.7967,
+      "step": 126
+    },
+    {
+      "epoch": 1.1043478260869566,
+      "grad_norm": 8.578575134277344,
+      "learning_rate": 4.5721249576058027e-05,
+      "loss": 0.6249,
+      "step": 127
+    },
+    {
+      "epoch": 1.1130434782608696,
+      "grad_norm": 6.662336349487305,
+      "learning_rate": 4.501033080911086e-05,
+      "loss": 0.637,
+      "step": 128
+    },
+    {
+      "epoch": 1.1217391304347826,
+      "grad_norm": 8.214466094970703,
+      "learning_rate": 4.4300429505472976e-05,
+      "loss": 1.2037,
+      "step": 129
+    },
+    {
+      "epoch": 1.1304347826086956,
+      "grad_norm": 9.812641143798828,
+      "learning_rate": 4.359169042394536e-05,
+      "loss": 1.0598,
+      "step": 130
+    },
+    {
+      "epoch": 1.1391304347826088,
+      "grad_norm": 5.729506969451904,
+      "learning_rate": 4.288425808633575e-05,
+      "loss": 0.4854,
+      "step": 131
+    },
+    {
+      "epoch": 1.1478260869565218,
+      "grad_norm": 7.675601959228516,
+      "learning_rate": 4.2178276747988446e-05,
+      "loss": 1.6833,
+      "step": 132
+    },
+    {
+      "epoch": 1.1565217391304348,
+      "grad_norm": 5.756649494171143,
+      "learning_rate": 4.147389036836881e-05,
+      "loss": 0.586,
+      "step": 133
+    },
+    {
+      "epoch": 1.1652173913043478,
+      "grad_norm": 4.710939407348633,
+      "learning_rate": 4.077124258170774e-05,
+      "loss": 0.1098,
+      "step": 134
+    },
+    {
+      "epoch": 1.1739130434782608,
+      "grad_norm": 8.076876640319824,
+      "learning_rate": 4.007047666771274e-05,
+      "loss": 0.8247,
+      "step": 135
+    },
+    {
+      "epoch": 1.182608695652174,
+      "grad_norm": 6.092112064361572,
+      "learning_rate": 3.937173552235117e-05,
+      "loss": 0.4976,
+      "step": 136
+    },
+    {
+      "epoch": 1.191304347826087,
+      "grad_norm": 12.222753524780273,
+      "learning_rate": 3.8675161628711776e-05,
+      "loss": 0.7614,
+      "step": 137
+    },
+    {
+      "epoch": 1.2,
+      "grad_norm": 9.492755889892578,
+      "learning_rate": 3.798089702795038e-05,
+      "loss": 0.7278,
+      "step": 138
+    },
+    {
+      "epoch": 1.208695652173913,
+      "grad_norm": 8.09307861328125,
+      "learning_rate": 3.728908329032567e-05,
+      "loss": 1.0424,
+      "step": 139
+    },
+    {
+      "epoch": 1.2173913043478262,
+      "grad_norm": 13.750467300415039,
+      "learning_rate": 3.659986148633107e-05,
+      "loss": 1.3154,
+      "step": 140
+    },
+    {
+      "epoch": 1.2260869565217392,
+      "grad_norm": 5.85883903503418,
+      "learning_rate": 3.591337215792852e-05,
+      "loss": 0.151,
+      "step": 141
+    },
+    {
+      "epoch": 1.2347826086956522,
+      "grad_norm": 7.29556131362915,
+      "learning_rate": 3.522975528989e-05,
+      "loss": 0.4567,
+      "step": 142
+    },
+    {
+      "epoch": 1.2434782608695651,
+      "grad_norm": 10.308717727661133,
+      "learning_rate": 3.4549150281252636e-05,
+      "loss": 1.3977,
+      "step": 143
+    },
+    {
+      "epoch": 1.2521739130434781,
+      "grad_norm": 9.417724609375,
+      "learning_rate": 3.3871695916893314e-05,
+      "loss": 0.948,
+      "step": 144
+    },
+    {
+      "epoch": 1.2608695652173914,
+      "grad_norm": 8.931994438171387,
+      "learning_rate": 3.3197530339228487e-05,
+      "loss": 0.9489,
+      "step": 145
+    },
+    {
+      "epoch": 1.2695652173913043,
+      "grad_norm": 14.605033874511719,
+      "learning_rate": 3.2526791020045086e-05,
+      "loss": 1.851,
+      "step": 146
+    },
+    {
+      "epoch": 1.2782608695652173,
+      "grad_norm": 7.451152324676514,
+      "learning_rate": 3.1859614732467954e-05,
+      "loss": 0.4653,
+      "step": 147
+    },
+    {
+      "epoch": 1.2869565217391306,
+      "grad_norm": 7.847959041595459,
+      "learning_rate": 3.119613752307002e-05,
+      "loss": 0.8261,
+      "step": 148
+    },
+    {
+      "epoch": 1.2956521739130435,
+      "grad_norm": 6.851174831390381,
+      "learning_rate": 3.053649468413043e-05,
+      "loss": 0.5726,
+      "step": 149
+    },
+    {
+      "epoch": 1.3043478260869565,
+      "grad_norm": 7.77811336517334,
+      "learning_rate": 2.988082072604661e-05,
+      "loss": 0.8105,
+      "step": 150
+    },
+    {
+      "epoch": 1.3130434782608695,
+      "grad_norm": 9.027288436889648,
+      "learning_rate": 2.9229249349905684e-05,
+      "loss": 1.3896,
+      "step": 151
+    },
+    {
+      "epoch": 1.3217391304347825,
+      "grad_norm": 6.307928085327148,
+      "learning_rate": 2.858191342022095e-05,
+      "loss": 0.4174,
+      "step": 152
+    },
+    {
+      "epoch": 1.3304347826086955,
+      "grad_norm": 6.78994083404541,
+      "learning_rate": 2.7938944937838923e-05,
+      "loss": 0.5739,
+      "step": 153
+    },
+    {
+      "epoch": 1.3391304347826087,
+      "grad_norm": 7.77897834777832,
+      "learning_rate": 2.7300475013022663e-05,
+      "loss": 0.6822,
+      "step": 154
+    },
+    {
+      "epoch": 1.3478260869565217,
+      "grad_norm": 10.742020606994629,
+      "learning_rate": 2.6666633838716314e-05,
+      "loss": 1.1842,
+      "step": 155
+    },
+    {
+      "epoch": 1.3565217391304347,
+      "grad_norm": 6.034131050109863,
+      "learning_rate": 2.603755066399718e-05,
+      "loss": 0.1571,
+      "step": 156
+    },
+    {
+      "epoch": 1.365217391304348,
+      "grad_norm": 8.707799911499023,
+      "learning_rate": 2.5413353767719805e-05,
+      "loss": 0.9573,
+      "step": 157
+    },
+    {
+      "epoch": 1.373913043478261,
+      "grad_norm": 5.427333354949951,
+      "learning_rate": 2.4794170432358415e-05,
+      "loss": 0.4321,
+      "step": 158
+    },
+    {
+      "epoch": 1.382608695652174,
+      "grad_norm": 18.620357513427734,
+      "learning_rate": 2.418012691805191e-05,
+      "loss": 2.3272,
+      "step": 159
+    },
+    {
+      "epoch": 1.391304347826087,
+      "grad_norm": 10.270234107971191,
+      "learning_rate": 2.3571348436857904e-05,
+      "loss": 0.7804,
+      "step": 160
+    },
+    {
+      "epoch": 1.4,
+      "grad_norm": 4.281362056732178,
+      "learning_rate": 2.296795912722014e-05,
+      "loss": 0.1796,
+      "step": 161
+    },
+    {
+      "epoch": 1.4086956521739131,
+      "grad_norm": 6.379110336303711,
+      "learning_rate": 2.2370082028654866e-05,
+      "loss": 0.5788,
+      "step": 162
+    },
+    {
+      "epoch": 1.4173913043478261,
+      "grad_norm": 1.9616364240646362,
+      "learning_rate": 2.1777839056661554e-05,
+      "loss": 0.0406,
+      "step": 163
+    },
+    {
+      "epoch": 1.4260869565217391,
+      "grad_norm": 8.34288215637207,
+      "learning_rate": 2.119135097786236e-05,
+      "loss": 0.914,
+      "step": 164
+    },
+    {
+      "epoch": 1.434782608695652,
+      "grad_norm": 2.7565298080444336,
+      "learning_rate": 2.061073738537635e-05,
+      "loss": 0.0697,
+      "step": 165
+    },
+    {
+      "epoch": 1.4434782608695653,
+      "grad_norm": 12.554067611694336,
+      "learning_rate": 2.0036116674432654e-05,
+      "loss": 1.2686,
+      "step": 166
+    },
+    {
+      "epoch": 1.4521739130434783,
+      "grad_norm": 7.41255521774292,
+      "learning_rate": 1.946760601822809e-05,
+      "loss": 0.6045,
+      "step": 167
+    },
+    {
+      "epoch": 1.4608695652173913,
+      "grad_norm": 8.661652565002441,
+      "learning_rate": 1.8905321344033898e-05,
+      "loss": 0.2404,
+      "step": 168
+    },
+    {
+      "epoch": 1.4695652173913043,
+      "grad_norm": 8.020094871520996,
+      "learning_rate": 1.8349377309556486e-05,
+      "loss": 0.627,
+      "step": 169
+    },
+    {
+      "epoch": 1.4782608695652173,
+      "grad_norm": 6.1133222579956055,
+      "learning_rate": 1.7799887279557237e-05,
+      "loss": 0.6232,
+      "step": 170
+    },
+    {
+      "epoch": 1.4869565217391305,
+      "grad_norm": 11.473217010498047,
+      "learning_rate": 1.725696330273575e-05,
+      "loss": 0.8715,
+      "step": 171
+    },
+    {
+      "epoch": 1.4956521739130435,
+      "grad_norm": 9.100458145141602,
+      "learning_rate": 1.6720716088881594e-05,
+      "loss": 1.0355,
+      "step": 172
+    },
+    {
+      "epoch": 1.5043478260869565,
+      "grad_norm": 10.638351440429688,
+      "learning_rate": 1.619125498629904e-05,
+      "loss": 1.3327,
+      "step": 173
+    },
+    {
+      "epoch": 1.5130434782608697,
+      "grad_norm": 9.494583129882812,
+      "learning_rate": 1.566868795950932e-05,
+      "loss": 0.3127,
+      "step": 174
+    },
+    {
+      "epoch": 1.5217391304347827,
+      "grad_norm": 9.716391563415527,
+      "learning_rate": 1.5153121567235335e-05,
+      "loss": 0.7739,
+      "step": 175
+    },
+    {
+      "epoch": 1.5304347826086957,
+      "grad_norm": 8.240947723388672,
+      "learning_rate": 1.4644660940672627e-05,
+      "loss": 0.7155,
+      "step": 176
+    },
+    {
+      "epoch": 1.5391304347826087,
+      "grad_norm": 8.80859661102295,
+      "learning_rate": 1.414340976205183e-05,
+      "loss": 0.8378,
+      "step": 177
+    },
+    {
+      "epoch": 1.5478260869565217,
+      "grad_norm": 7.551889896392822,
+      "learning_rate": 1.3649470243496326e-05,
+      "loss": 0.5837,
+      "step": 178
+    },
+    {
+      "epoch": 1.5565217391304347,
+      "grad_norm": 7.766860008239746,
+      "learning_rate": 1.3162943106179749e-05,
+      "loss": 0.6585,
+      "step": 179
+    },
+    {
+      "epoch": 1.5652173913043477,
+      "grad_norm": 7.3335347175598145,
+      "learning_rate": 1.2683927559787655e-05,
+      "loss": 0.5556,
+      "step": 180
+    },
+    {
+      "epoch": 1.5739130434782609,
+      "grad_norm": 3.552537441253662,
+      "learning_rate": 1.2212521282287092e-05,
+      "loss": 0.0628,
+      "step": 181
+    },
+    {
+      "epoch": 1.5826086956521739,
+      "grad_norm": 7.300377368927002,
+      "learning_rate": 1.1748820400008843e-05,
+      "loss": 0.6523,
+      "step": 182
+    },
+    {
+      "epoch": 1.591304347826087,
+      "grad_norm": 10.045459747314453,
+      "learning_rate": 1.1292919468045877e-05,
+      "loss": 0.7011,
+      "step": 183
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 10.843255043029785,
+      "learning_rate": 1.0844911450972229e-05,
+      "loss": 0.3824,
+      "step": 184
+    },
+    {
+      "epoch": 1.608695652173913,
+      "grad_norm": 7.702304840087891,
+      "learning_rate": 1.0404887703886251e-05,
+      "loss": 0.782,
+      "step": 185
+    },
+    {
+      "epoch": 1.617391304347826,
+      "grad_norm": 6.250712871551514,
+      "learning_rate": 9.972937953781986e-06,
+      "loss": 0.3592,
+      "step": 186
+    },
+    {
+      "epoch": 1.626086956521739,
+      "grad_norm": 8.084029197692871,
+      "learning_rate": 9.549150281252633e-06,
+      "loss": 0.5398,
+      "step": 187
+    },
+    {
+      "epoch": 1.634782608695652,
+      "grad_norm": 3.528081178665161,
+      "learning_rate": 9.133611102529654e-06,
+      "loss": 0.0699,
+      "step": 188
+    },
+    {
+      "epoch": 1.643478260869565,
+      "grad_norm": 3.4632437229156494,
+      "learning_rate": 8.7264051518613e-06,
+      "loss": 0.0686,
+      "step": 189
+    },
+    {
+      "epoch": 1.6521739130434783,
+      "grad_norm": 7.657890319824219,
+      "learning_rate": 8.327615464234129e-06,
+      "loss": 0.6129,
+      "step": 190
+    },
+    {
+      "epoch": 1.6608695652173913,
+      "grad_norm": 9.106538772583008,
+      "learning_rate": 7.937323358440935e-06,
+      "loss": 0.8445,
+      "step": 191
+    },
+    {
+      "epoch": 1.6695652173913045,
+      "grad_norm": 6.055113315582275,
+      "learning_rate": 7.555608420498872e-06,
+      "loss": 0.6026,
+      "step": 192
+    },
+    {
+      "epoch": 1.6782608695652175,
+      "grad_norm": 17.939279556274414,
+      "learning_rate": 7.182548487420554e-06,
+      "loss": 1.5311,
+      "step": 193
+    },
+    {
+      "epoch": 1.6869565217391305,
+      "grad_norm": 5.84937858581543,
+      "learning_rate": 6.818219631342149e-06,
+      "loss": 0.1457,
+      "step": 194
+    },
+    {
+      "epoch": 1.6956521739130435,
+      "grad_norm": 10.647073745727539,
+      "learning_rate": 6.462696144011149e-06,
+      "loss": 1.0994,
+      "step": 195
+    },
+    {
+      "epoch": 1.7043478260869565,
+      "grad_norm": 6.252867221832275,
+      "learning_rate": 6.116050521637218e-06,
+      "loss": 0.3648,
+      "step": 196
+    },
+    {
+      "epoch": 1.7130434782608694,
+      "grad_norm": 6.860467910766602,
+      "learning_rate": 5.778353450109286e-06,
+      "loss": 0.6171,
+      "step": 197
+    },
+    {
+      "epoch": 1.7217391304347827,
+      "grad_norm": 6.052587032318115,
+      "learning_rate": 5.449673790581611e-06,
+      "loss": 0.3541,
+      "step": 198
+    },
+    {
+      "epoch": 1.7304347826086957,
+      "grad_norm": 4.472194194793701,
+      "learning_rate": 5.13007856543209e-06,
+      "loss": 0.0866,
+      "step": 199
+    },
+    {
+      "epoch": 1.7391304347826086,
+      "grad_norm": 9.050908088684082,
+      "learning_rate": 4.819632944595415e-06,
+      "loss": 0.7291,
+      "step": 200
+    },
+    {
+      "epoch": 1.7478260869565219,
+      "grad_norm": 15.068604469299316,
+      "learning_rate": 4.5184002322740785e-06,
+      "loss": 0.7179,
+      "step": 201
+    },
+    {
+      "epoch": 1.7565217391304349,
+      "grad_norm": 9.076845169067383,
+      "learning_rate": 4.2264418540297e-06,
+      "loss": 1.4375,
+      "step": 202
+    },
+    {
+      "epoch": 1.7652173913043478,
+      "grad_norm": 7.426385879516602,
+      "learning_rate": 3.9438173442575e-06,
+      "loss": 0.7565,
+      "step": 203
+    },
+    {
+      "epoch": 1.7739130434782608,
+      "grad_norm": 7.295407772064209,
+      "learning_rate": 3.6705843340464286e-06,
+      "loss": 0.4621,
+      "step": 204
+    },
+    {
+      "epoch": 1.7826086956521738,
+      "grad_norm": 5.500656604766846,
+      "learning_rate": 3.406798539427386e-06,
+      "loss": 0.0947,
+      "step": 205
+    },
+    {
+      "epoch": 1.7913043478260868,
+      "grad_norm": 7.827192783355713,
+      "learning_rate": 3.1525137500119207e-06,
+      "loss": 0.5042,
+      "step": 206
+    },
+    {
+      "epoch": 1.8,
+      "grad_norm": 10.173295021057129,
+      "learning_rate": 2.9077818180237693e-06,
+      "loss": 0.7344,
+      "step": 207
+    },
+    {
+      "epoch": 1.808695652173913,
+      "grad_norm": 8.067317962646484,
+      "learning_rate": 2.6726526477254987e-06,
+      "loss": 0.8057,
+      "step": 208
+    },
+    {
+      "epoch": 1.8173913043478263,
+      "grad_norm": 6.457295894622803,
+      "learning_rate": 2.4471741852423237e-06,
+      "loss": 0.5597,
+      "step": 209
+    },
+    {
+      "epoch": 1.8260869565217392,
+      "grad_norm": 6.850070953369141,
+      "learning_rate": 2.2313924087851656e-06,
+      "loss": 0.556,
+      "step": 210
+    },
+    {
+      "epoch": 1.8347826086956522,
+      "grad_norm": 6.4678144454956055,
+      "learning_rate": 2.0253513192751373e-06,
+      "loss": 0.351,
+      "step": 211
+    },
+    {
+      "epoch": 1.8434782608695652,
+      "grad_norm": 6.126864433288574,
+      "learning_rate": 1.8290929313710513e-06,
+      "loss": 0.3537,
+      "step": 212
+    },
+    {
+      "epoch": 1.8521739130434782,
+      "grad_norm": 6.90460729598999,
+      "learning_rate": 1.6426572649021476e-06,
+      "loss": 0.1795,
+      "step": 213
+    },
+    {
+      "epoch": 1.8608695652173912,
+      "grad_norm": 8.008868217468262,
+      "learning_rate": 1.4660823367073751e-06,
+      "loss": 0.5865,
+      "step": 214
+    },
+    {
+      "epoch": 1.8695652173913042,
+      "grad_norm": 9.392267227172852,
+      "learning_rate": 1.2994041528833266e-06,
+      "loss": 0.8658,
+      "step": 215
+    },
+    {
+      "epoch": 1.8782608695652174,
+      "grad_norm": 8.422052383422852,
+      "learning_rate": 1.1426567014420297e-06,
+      "loss": 0.636,
+      "step": 216
+    },
+    {
+      "epoch": 1.8869565217391304,
+      "grad_norm": 12.24099063873291,
+      "learning_rate": 9.958719453803278e-07,
+      "loss": 1.9606,
+      "step": 217
+    },
+    {
+      "epoch": 1.8956521739130436,
+      "grad_norm": 6.257460117340088,
+      "learning_rate": 8.590798161622227e-07,
+      "loss": 0.4456,
+      "step": 218
+    },
+    {
+      "epoch": 1.9043478260869566,
+      "grad_norm": 12.042879104614258,
+      "learning_rate": 7.323082076153509e-07,
+      "loss": 1.299,
+      "step": 219
+    },
+    {
+      "epoch": 1.9130434782608696,
+      "grad_norm": 16.869014739990234,
+      "learning_rate": 6.15582970243117e-07,
+      "loss": 1.6858,
+      "step": 220
+    },
+    {
+      "epoch": 1.9217391304347826,
+      "grad_norm": 10.271821975708008,
+      "learning_rate": 5.089279059533658e-07,
+      "loss": 0.8549,
+      "step": 221
+    },
+    {
+      "epoch": 1.9304347826086956,
+      "grad_norm": 6.406334400177002,
+      "learning_rate": 4.123647632048644e-07,
+      "loss": 0.5526,
+      "step": 222
+    },
+    {
+      "epoch": 1.9391304347826086,
+      "grad_norm": 7.156313896179199,
+      "learning_rate": 3.2591323257248893e-07,
+      "loss": 0.2008,
+      "step": 223
+    },
+    {
+      "epoch": 1.9478260869565216,
+      "grad_norm": 8.381826400756836,
+      "learning_rate": 2.4959094273201977e-07,
+      "loss": 0.4191,
+      "step": 224
+    },
+    {
+      "epoch": 1.9565217391304348,
+      "grad_norm": 7.376916408538818,
+      "learning_rate": 1.8341345686543332e-07,
+      "loss": 0.4707,
+      "step": 225
+    },
+    {
+      "epoch": 1.9652173913043478,
+      "grad_norm": 9.728565216064453,
+      "learning_rate": 1.2739426948732424e-07,
+      "loss": 1.1065,
+      "step": 226
+    },
+    {
+      "epoch": 1.973913043478261,
+      "grad_norm": 7.97186279296875,
+      "learning_rate": 8.15448036932176e-08,
+      "loss": 0.879,
+      "step": 227
+    },
+    {
+      "epoch": 1.982608695652174,
+      "grad_norm": 4.87440824508667,
+      "learning_rate": 4.5874408830215434e-08,
+      "loss": 0.1072,
+      "step": 228
+    },
+    {
+      "epoch": 1.991304347826087,
+      "grad_norm": 9.028919219970703,
+      "learning_rate": 2.0390358590538504e-08,
+      "loss": 0.6967,
+      "step": 229
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 7.545851230621338,
+      "learning_rate": 5.097849528334919e-09,
+      "loss": 0.6529,
+      "step": 230
+    }
+  ],
+  "logging_steps": 1.0,
+  "max_steps": 230,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "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": 33878645932032.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99f7db73252ad678dbd89edf8c3a5dad4ec46207a381fc87798f2325df2d6ea3
+size 5432