Upload 15 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
+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 0.15.2

adapter_config.json

@@ -0,0 +1,39 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/qwen3-14b-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "gate_proj",
+    "q_proj",
+    "o_proj",
+    "k_proj",
+    "down_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06d65d049884d5dd2b5fed92b83f139a61631795cb67bb54cc584970ce39d4c3
+size 513877864

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
+}

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:780e928d20d1e118eae4c619979f9f106149d16f8de272862687cc2338673109
+size 261573716

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4ae31f3bd6abd5e088309ad57fa2e995bc6dd61c02221bc158a3d63e6ad1f06
+size 14244

scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6791705862404ffa72b59739343eb24690e467f4d261034873f68e9e00ce5b03
+size 988

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcfe2b56411102d8492ab62d45e236299206ef8dbb06daf1bd4853137d711a03
+size 1064

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": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json

@@ -0,0 +1,241 @@
+{
+  "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,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# 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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for forward_message in messages %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- set message = messages[index] %}\n    {%- set tool_start = '<tool_response>' %}\n    {%- set tool_start_length = tool_start|length %}\n    {%- set start_of_message = message.content[:tool_start_length] %}\n    {%- set tool_end = '</tool_response>' %}\n    {%- set tool_end_length = tool_end|length %}\n    {%- set start_pos = (message.content|length) - tool_end_length %}\n    {%- if start_pos < 0 %}\n        {%- set start_pos = 0 %}\n    {%- endif %}\n    {%- set end_of_message = message.content[start_pos:] %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(start_of_message == tool_start and end_of_message == tool_end) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set content = message.content %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in message.content %}\n                {%- set content = (message.content.split('</think>')|last).lstrip('\\n') %}\n                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\\n') %}\n                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 40960,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_state.json

@@ -0,0 +1,1154 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.2632444883185258,
+  "eval_steps": 500,
+  "global_step": 800,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0016452780519907865,
+      "grad_norm": 1.5217232704162598,
+      "learning_rate": 0.00012,
+      "loss": 4.5224,
+      "step": 5
+    },
+    {
+      "epoch": 0.003290556103981573,
+      "grad_norm": 0.574784517288208,
+      "learning_rate": 0.0001998022412656559,
+      "loss": 3.2397,
+      "step": 10
+    },
+    {
+      "epoch": 0.004935834155972359,
+      "grad_norm": 0.5069302320480347,
+      "learning_rate": 0.0001994726433750824,
+      "loss": 2.7151,
+      "step": 15
+    },
+    {
+      "epoch": 0.006581112207963146,
+      "grad_norm": 0.5865616202354431,
+      "learning_rate": 0.00019914304548450891,
+      "loss": 2.3507,
+      "step": 20
+    },
+    {
+      "epoch": 0.008226390259953932,
+      "grad_norm": 0.5909593105316162,
+      "learning_rate": 0.0001988134475939354,
+      "loss": 2.3338,
+      "step": 25
+    },
+    {
+      "epoch": 0.009871668311944718,
+      "grad_norm": 0.4913259744644165,
+      "learning_rate": 0.0001984838497033619,
+      "loss": 2.3544,
+      "step": 30
+    },
+    {
+      "epoch": 0.011516946363935505,
+      "grad_norm": 0.4331064522266388,
+      "learning_rate": 0.00019815425181278842,
+      "loss": 2.2672,
+      "step": 35
+    },
+    {
+      "epoch": 0.013162224415926292,
+      "grad_norm": 0.42509177327156067,
+      "learning_rate": 0.0001978246539222149,
+      "loss": 2.2764,
+      "step": 40
+    },
+    {
+      "epoch": 0.014807502467917079,
+      "grad_norm": 0.415414035320282,
+      "learning_rate": 0.0001974950560316414,
+      "loss": 2.1035,
+      "step": 45
+    },
+    {
+      "epoch": 0.016452780519907863,
+      "grad_norm": 0.5336166024208069,
+      "learning_rate": 0.0001971654581410679,
+      "loss": 2.2284,
+      "step": 50
+    },
+    {
+      "epoch": 0.01809805857189865,
+      "grad_norm": 0.3719511926174164,
+      "learning_rate": 0.0001968358602504944,
+      "loss": 2.1656,
+      "step": 55
+    },
+    {
+      "epoch": 0.019743336623889437,
+      "grad_norm": 0.49993693828582764,
+      "learning_rate": 0.00019650626235992092,
+      "loss": 2.0299,
+      "step": 60
+    },
+    {
+      "epoch": 0.021388614675880224,
+      "grad_norm": 0.5019952654838562,
+      "learning_rate": 0.0001961766644693474,
+      "loss": 2.0951,
+      "step": 65
+    },
+    {
+      "epoch": 0.02303389272787101,
+      "grad_norm": 0.4793168306350708,
+      "learning_rate": 0.0001958470665787739,
+      "loss": 2.1505,
+      "step": 70
+    },
+    {
+      "epoch": 0.024679170779861797,
+      "grad_norm": 0.47024038434028625,
+      "learning_rate": 0.0001955174686882004,
+      "loss": 2.054,
+      "step": 75
+    },
+    {
+      "epoch": 0.026324448831852584,
+      "grad_norm": 0.5920702815055847,
+      "learning_rate": 0.0001951878707976269,
+      "loss": 2.1802,
+      "step": 80
+    },
+    {
+      "epoch": 0.02796972688384337,
+      "grad_norm": 0.4485560655593872,
+      "learning_rate": 0.0001948582729070534,
+      "loss": 2.1609,
+      "step": 85
+    },
+    {
+      "epoch": 0.029615004935834157,
+      "grad_norm": 0.41952958703041077,
+      "learning_rate": 0.0001945286750164799,
+      "loss": 2.0584,
+      "step": 90
+    },
+    {
+      "epoch": 0.03126028298782494,
+      "grad_norm": 0.40542706847190857,
+      "learning_rate": 0.00019419907712590643,
+      "loss": 2.22,
+      "step": 95
+    },
+    {
+      "epoch": 0.03290556103981573,
+      "grad_norm": 0.438912570476532,
+      "learning_rate": 0.0001938694792353329,
+      "loss": 2.1478,
+      "step": 100
+    },
+    {
+      "epoch": 0.034550839091806514,
+      "grad_norm": 0.46580272912979126,
+      "learning_rate": 0.0001935398813447594,
+      "loss": 2.1227,
+      "step": 105
+    },
+    {
+      "epoch": 0.0361961171437973,
+      "grad_norm": 0.5012261271476746,
+      "learning_rate": 0.0001932102834541859,
+      "loss": 2.1274,
+      "step": 110
+    },
+    {
+      "epoch": 0.03784139519578809,
+      "grad_norm": 0.5175459384918213,
+      "learning_rate": 0.0001928806855636124,
+      "loss": 2.0726,
+      "step": 115
+    },
+    {
+      "epoch": 0.039486673247778874,
+      "grad_norm": 0.5441685318946838,
+      "learning_rate": 0.00019255108767303892,
+      "loss": 2.1269,
+      "step": 120
+    },
+    {
+      "epoch": 0.04113195129976966,
+      "grad_norm": 0.4177902042865753,
+      "learning_rate": 0.0001922214897824654,
+      "loss": 2.164,
+      "step": 125
+    },
+    {
+      "epoch": 0.04277722935176045,
+      "grad_norm": 0.44649720191955566,
+      "learning_rate": 0.0001918918918918919,
+      "loss": 2.0883,
+      "step": 130
+    },
+    {
+      "epoch": 0.044422507403751234,
+      "grad_norm": 0.46839994192123413,
+      "learning_rate": 0.0001915622940013184,
+      "loss": 2.0448,
+      "step": 135
+    },
+    {
+      "epoch": 0.04606778545574202,
+      "grad_norm": 0.4343637228012085,
+      "learning_rate": 0.0001912326961107449,
+      "loss": 2.0282,
+      "step": 140
+    },
+    {
+      "epoch": 0.04771306350773281,
+      "grad_norm": 0.4241706132888794,
+      "learning_rate": 0.00019090309822017141,
+      "loss": 2.0895,
+      "step": 145
+    },
+    {
+      "epoch": 0.049358341559723594,
+      "grad_norm": 0.44053712487220764,
+      "learning_rate": 0.0001905735003295979,
+      "loss": 2.0925,
+      "step": 150
+    },
+    {
+      "epoch": 0.05100361961171438,
+      "grad_norm": 0.39026254415512085,
+      "learning_rate": 0.0001902439024390244,
+      "loss": 2.1519,
+      "step": 155
+    },
+    {
+      "epoch": 0.05264889766370517,
+      "grad_norm": 0.455168217420578,
+      "learning_rate": 0.0001899143045484509,
+      "loss": 2.1623,
+      "step": 160
+    },
+    {
+      "epoch": 0.054294175715695954,
+      "grad_norm": 0.4873504042625427,
+      "learning_rate": 0.0001895847066578774,
+      "loss": 1.9314,
+      "step": 165
+    },
+    {
+      "epoch": 0.05593945376768674,
+      "grad_norm": 0.5435200929641724,
+      "learning_rate": 0.0001892551087673039,
+      "loss": 2.0674,
+      "step": 170
+    },
+    {
+      "epoch": 0.05758473181967753,
+      "grad_norm": 0.44813185930252075,
+      "learning_rate": 0.0001889255108767304,
+      "loss": 2.0042,
+      "step": 175
+    },
+    {
+      "epoch": 0.059230009871668314,
+      "grad_norm": 0.5993271470069885,
+      "learning_rate": 0.0001885959129861569,
+      "loss": 2.0942,
+      "step": 180
+    },
+    {
+      "epoch": 0.0608752879236591,
+      "grad_norm": 0.5044869780540466,
+      "learning_rate": 0.0001882663150955834,
+      "loss": 2.118,
+      "step": 185
+    },
+    {
+      "epoch": 0.06252056597564988,
+      "grad_norm": 0.4713231325149536,
+      "learning_rate": 0.00018793671720500988,
+      "loss": 2.1232,
+      "step": 190
+    },
+    {
+      "epoch": 0.06416584402764067,
+      "grad_norm": 0.5351199507713318,
+      "learning_rate": 0.0001876071193144364,
+      "loss": 2.0956,
+      "step": 195
+    },
+    {
+      "epoch": 0.06581112207963145,
+      "grad_norm": 0.380096971988678,
+      "learning_rate": 0.0001872775214238629,
+      "loss": 2.0466,
+      "step": 200
+    },
+    {
+      "epoch": 0.06745640013162224,
+      "grad_norm": 0.4392818510532379,
+      "learning_rate": 0.0001869479235332894,
+      "loss": 2.0503,
+      "step": 205
+    },
+    {
+      "epoch": 0.06910167818361303,
+      "grad_norm": 0.49540552496910095,
+      "learning_rate": 0.00018661832564271588,
+      "loss": 2.0771,
+      "step": 210
+    },
+    {
+      "epoch": 0.07074695623560381,
+      "grad_norm": 0.5129232406616211,
+      "learning_rate": 0.00018628872775214238,
+      "loss": 1.9724,
+      "step": 215
+    },
+    {
+      "epoch": 0.0723922342875946,
+      "grad_norm": 0.4697638750076294,
+      "learning_rate": 0.0001859591298615689,
+      "loss": 2.03,
+      "step": 220
+    },
+    {
+      "epoch": 0.07403751233958539,
+      "grad_norm": 0.4250948131084442,
+      "learning_rate": 0.0001856295319709954,
+      "loss": 2.0235,
+      "step": 225
+    },
+    {
+      "epoch": 0.07568279039157617,
+      "grad_norm": 0.5197622776031494,
+      "learning_rate": 0.0001852999340804219,
+      "loss": 1.991,
+      "step": 230
+    },
+    {
+      "epoch": 0.07732806844356696,
+      "grad_norm": 0.45986393094062805,
+      "learning_rate": 0.0001849703361898484,
+      "loss": 2.0191,
+      "step": 235
+    },
+    {
+      "epoch": 0.07897334649555775,
+      "grad_norm": 0.5618834495544434,
+      "learning_rate": 0.00018464073829927487,
+      "loss": 1.9859,
+      "step": 240
+    },
+    {
+      "epoch": 0.08061862454754853,
+      "grad_norm": 0.5400542616844177,
+      "learning_rate": 0.0001843111404087014,
+      "loss": 1.9633,
+      "step": 245
+    },
+    {
+      "epoch": 0.08226390259953932,
+      "grad_norm": 0.5259667038917542,
+      "learning_rate": 0.0001839815425181279,
+      "loss": 1.8768,
+      "step": 250
+    },
+    {
+      "epoch": 0.08390918065153011,
+      "grad_norm": 0.5015618801116943,
+      "learning_rate": 0.0001836519446275544,
+      "loss": 2.0329,
+      "step": 255
+    },
+    {
+      "epoch": 0.0855544587035209,
+      "grad_norm": 0.4835856854915619,
+      "learning_rate": 0.0001833223467369809,
+      "loss": 1.9815,
+      "step": 260
+    },
+    {
+      "epoch": 0.08719973675551168,
+      "grad_norm": 0.4211411774158478,
+      "learning_rate": 0.0001829927488464074,
+      "loss": 1.9899,
+      "step": 265
+    },
+    {
+      "epoch": 0.08884501480750247,
+      "grad_norm": 0.4507792294025421,
+      "learning_rate": 0.0001826631509558339,
+      "loss": 1.9865,
+      "step": 270
+    },
+    {
+      "epoch": 0.09049029285949325,
+      "grad_norm": 0.5402964353561401,
+      "learning_rate": 0.00018233355306526038,
+      "loss": 1.902,
+      "step": 275
+    },
+    {
+      "epoch": 0.09213557091148404,
+      "grad_norm": 0.4574088454246521,
+      "learning_rate": 0.0001820039551746869,
+      "loss": 1.9727,
+      "step": 280
+    },
+    {
+      "epoch": 0.09378084896347483,
+      "grad_norm": 0.4615534842014313,
+      "learning_rate": 0.0001816743572841134,
+      "loss": 2.0582,
+      "step": 285
+    },
+    {
+      "epoch": 0.09542612701546561,
+      "grad_norm": 0.5126486420631409,
+      "learning_rate": 0.0001813447593935399,
+      "loss": 2.0274,
+      "step": 290
+    },
+    {
+      "epoch": 0.0970714050674564,
+      "grad_norm": 0.6757667660713196,
+      "learning_rate": 0.00018101516150296638,
+      "loss": 1.879,
+      "step": 295
+    },
+    {
+      "epoch": 0.09871668311944719,
+      "grad_norm": 0.49488508701324463,
+      "learning_rate": 0.00018068556361239288,
+      "loss": 1.9348,
+      "step": 300
+    },
+    {
+      "epoch": 0.10036196117143797,
+      "grad_norm": 0.5860428810119629,
+      "learning_rate": 0.0001803559657218194,
+      "loss": 1.9276,
+      "step": 305
+    },
+    {
+      "epoch": 0.10200723922342876,
+      "grad_norm": 0.5148414373397827,
+      "learning_rate": 0.0001800263678312459,
+      "loss": 2.0563,
+      "step": 310
+    },
+    {
+      "epoch": 0.10365251727541955,
+      "grad_norm": 0.5046892762184143,
+      "learning_rate": 0.00017969676994067238,
+      "loss": 2.0009,
+      "step": 315
+    },
+    {
+      "epoch": 0.10529779532741033,
+      "grad_norm": 0.4465779960155487,
+      "learning_rate": 0.0001793671720500989,
+      "loss": 1.9842,
+      "step": 320
+    },
+    {
+      "epoch": 0.10694307337940112,
+      "grad_norm": 0.4488319158554077,
+      "learning_rate": 0.00017903757415952537,
+      "loss": 1.9881,
+      "step": 325
+    },
+    {
+      "epoch": 0.10858835143139191,
+      "grad_norm": 0.46680882573127747,
+      "learning_rate": 0.0001787079762689519,
+      "loss": 2.0471,
+      "step": 330
+    },
+    {
+      "epoch": 0.1102336294833827,
+      "grad_norm": 0.5483986139297485,
+      "learning_rate": 0.00017837837837837839,
+      "loss": 2.0581,
+      "step": 335
+    },
+    {
+      "epoch": 0.11187890753537348,
+      "grad_norm": 0.4938408434391022,
+      "learning_rate": 0.00017804878048780488,
+      "loss": 1.9712,
+      "step": 340
+    },
+    {
+      "epoch": 0.11352418558736427,
+      "grad_norm": 0.4176371991634369,
+      "learning_rate": 0.0001777191825972314,
+      "loss": 1.9019,
+      "step": 345
+    },
+    {
+      "epoch": 0.11516946363935505,
+      "grad_norm": 0.45936137437820435,
+      "learning_rate": 0.0001773895847066579,
+      "loss": 1.8773,
+      "step": 350
+    },
+    {
+      "epoch": 0.11681474169134584,
+      "grad_norm": 0.5166374444961548,
+      "learning_rate": 0.0001770599868160844,
+      "loss": 2.0059,
+      "step": 355
+    },
+    {
+      "epoch": 0.11846001974333663,
+      "grad_norm": 0.5485665202140808,
+      "learning_rate": 0.00017673038892551088,
+      "loss": 1.9634,
+      "step": 360
+    },
+    {
+      "epoch": 0.12010529779532741,
+      "grad_norm": 0.44683098793029785,
+      "learning_rate": 0.00017640079103493737,
+      "loss": 1.9239,
+      "step": 365
+    },
+    {
+      "epoch": 0.1217505758473182,
+      "grad_norm": 0.4426558315753937,
+      "learning_rate": 0.0001760711931443639,
+      "loss": 1.9467,
+      "step": 370
+    },
+    {
+      "epoch": 0.12339585389930899,
+      "grad_norm": 0.45059794187545776,
+      "learning_rate": 0.0001757415952537904,
+      "loss": 1.9099,
+      "step": 375
+    },
+    {
+      "epoch": 0.12504113195129976,
+      "grad_norm": 0.47326767444610596,
+      "learning_rate": 0.00017541199736321688,
+      "loss": 1.9521,
+      "step": 380
+    },
+    {
+      "epoch": 0.12668641000329056,
+      "grad_norm": 0.4886496961116791,
+      "learning_rate": 0.00017508239947264337,
+      "loss": 1.9336,
+      "step": 385
+    },
+    {
+      "epoch": 0.12833168805528133,
+      "grad_norm": 0.4394533336162567,
+      "learning_rate": 0.00017475280158206987,
+      "loss": 1.8583,
+      "step": 390
+    },
+    {
+      "epoch": 0.12997696610727213,
+      "grad_norm": 0.5217518210411072,
+      "learning_rate": 0.0001744232036914964,
+      "loss": 1.9916,
+      "step": 395
+    },
+    {
+      "epoch": 0.1316222441592629,
+      "grad_norm": 0.44888633489608765,
+      "learning_rate": 0.00017409360580092288,
+      "loss": 2.0022,
+      "step": 400
+    },
+    {
+      "epoch": 0.1332675222112537,
+      "grad_norm": 0.5385366678237915,
+      "learning_rate": 0.0001737640079103494,
+      "loss": 1.9492,
+      "step": 405
+    },
+    {
+      "epoch": 0.13491280026324448,
+      "grad_norm": 0.4314708113670349,
+      "learning_rate": 0.00017343441001977587,
+      "loss": 2.0088,
+      "step": 410
+    },
+    {
+      "epoch": 0.13655807831523528,
+      "grad_norm": 0.4006335735321045,
+      "learning_rate": 0.00017310481212920236,
+      "loss": 1.9524,
+      "step": 415
+    },
+    {
+      "epoch": 0.13820335636722605,
+      "grad_norm": 0.5291544198989868,
+      "learning_rate": 0.00017277521423862888,
+      "loss": 1.8593,
+      "step": 420
+    },
+    {
+      "epoch": 0.13984863441921686,
+      "grad_norm": 0.47129592299461365,
+      "learning_rate": 0.00017244561634805538,
+      "loss": 1.9542,
+      "step": 425
+    },
+    {
+      "epoch": 0.14149391247120763,
+      "grad_norm": 0.449595183134079,
+      "learning_rate": 0.0001721160184574819,
+      "loss": 1.9294,
+      "step": 430
+    },
+    {
+      "epoch": 0.14313919052319843,
+      "grad_norm": 0.4410437047481537,
+      "learning_rate": 0.0001717864205669084,
+      "loss": 1.9209,
+      "step": 435
+    },
+    {
+      "epoch": 0.1447844685751892,
+      "grad_norm": 0.5655415654182434,
+      "learning_rate": 0.00017145682267633488,
+      "loss": 1.9486,
+      "step": 440
+    },
+    {
+      "epoch": 0.14642974662718,
+      "grad_norm": 0.5219452381134033,
+      "learning_rate": 0.00017112722478576138,
+      "loss": 1.8922,
+      "step": 445
+    },
+    {
+      "epoch": 0.14807502467917077,
+      "grad_norm": 0.49918806552886963,
+      "learning_rate": 0.00017079762689518787,
+      "loss": 1.92,
+      "step": 450
+    },
+    {
+      "epoch": 0.14972030273116158,
+      "grad_norm": 0.4410875141620636,
+      "learning_rate": 0.0001704680290046144,
+      "loss": 1.9363,
+      "step": 455
+    },
+    {
+      "epoch": 0.15136558078315235,
+      "grad_norm": 0.4709133207798004,
+      "learning_rate": 0.00017013843111404089,
+      "loss": 1.8803,
+      "step": 460
+    },
+    {
+      "epoch": 0.15301085883514315,
+      "grad_norm": 0.447390079498291,
+      "learning_rate": 0.00016980883322346738,
+      "loss": 2.0388,
+      "step": 465
+    },
+    {
+      "epoch": 0.15465613688713392,
+      "grad_norm": 0.4439023435115814,
+      "learning_rate": 0.00016947923533289387,
+      "loss": 1.9112,
+      "step": 470
+    },
+    {
+      "epoch": 0.15630141493912472,
+      "grad_norm": 0.5134996175765991,
+      "learning_rate": 0.00016914963744232037,
+      "loss": 1.9556,
+      "step": 475
+    },
+    {
+      "epoch": 0.1579466929911155,
+      "grad_norm": 0.5412283539772034,
+      "learning_rate": 0.0001688200395517469,
+      "loss": 1.899,
+      "step": 480
+    },
+    {
+      "epoch": 0.1595919710431063,
+      "grad_norm": 0.46328097581863403,
+      "learning_rate": 0.00016849044166117338,
+      "loss": 1.8476,
+      "step": 485
+    },
+    {
+      "epoch": 0.16123724909509707,
+      "grad_norm": 0.43716996908187866,
+      "learning_rate": 0.00016816084377059987,
+      "loss": 1.9059,
+      "step": 490
+    },
+    {
+      "epoch": 0.16288252714708787,
+      "grad_norm": 0.4769724905490875,
+      "learning_rate": 0.00016783124588002637,
+      "loss": 1.9186,
+      "step": 495
+    },
+    {
+      "epoch": 0.16452780519907864,
+      "grad_norm": 0.5047943592071533,
+      "learning_rate": 0.00016750164798945286,
+      "loss": 1.9161,
+      "step": 500
+    },
+    {
+      "epoch": 0.16617308325106944,
+      "grad_norm": 0.4556055963039398,
+      "learning_rate": 0.00016717205009887938,
+      "loss": 1.8834,
+      "step": 505
+    },
+    {
+      "epoch": 0.16781836130306022,
+      "grad_norm": 0.4692705571651459,
+      "learning_rate": 0.00016684245220830588,
+      "loss": 1.9091,
+      "step": 510
+    },
+    {
+      "epoch": 0.16946363935505102,
+      "grad_norm": 0.43482905626296997,
+      "learning_rate": 0.00016651285431773237,
+      "loss": 1.9405,
+      "step": 515
+    },
+    {
+      "epoch": 0.1711089174070418,
+      "grad_norm": 0.5708907246589661,
+      "learning_rate": 0.0001661832564271589,
+      "loss": 1.9027,
+      "step": 520
+    },
+    {
+      "epoch": 0.1727541954590326,
+      "grad_norm": 0.49181491136550903,
+      "learning_rate": 0.00016585365853658536,
+      "loss": 1.8526,
+      "step": 525
+    },
+    {
+      "epoch": 0.17439947351102336,
+      "grad_norm": 0.5000940561294556,
+      "learning_rate": 0.00016552406064601188,
+      "loss": 1.8588,
+      "step": 530
+    },
+    {
+      "epoch": 0.17604475156301416,
+      "grad_norm": 0.45289117097854614,
+      "learning_rate": 0.00016519446275543837,
+      "loss": 2.0358,
+      "step": 535
+    },
+    {
+      "epoch": 0.17769002961500494,
+      "grad_norm": 0.5227617621421814,
+      "learning_rate": 0.00016486486486486486,
+      "loss": 1.8512,
+      "step": 540
+    },
+    {
+      "epoch": 0.17933530766699574,
+      "grad_norm": 0.512492299079895,
+      "learning_rate": 0.00016453526697429138,
+      "loss": 1.9014,
+      "step": 545
+    },
+    {
+      "epoch": 0.1809805857189865,
+      "grad_norm": 0.4832890033721924,
+      "learning_rate": 0.00016420566908371785,
+      "loss": 1.9765,
+      "step": 550
+    },
+    {
+      "epoch": 0.18262586377097728,
+      "grad_norm": 0.4797350764274597,
+      "learning_rate": 0.00016387607119314437,
+      "loss": 1.8907,
+      "step": 555
+    },
+    {
+      "epoch": 0.18427114182296808,
+      "grad_norm": 0.48889973759651184,
+      "learning_rate": 0.00016354647330257086,
+      "loss": 1.9369,
+      "step": 560
+    },
+    {
+      "epoch": 0.18591641987495885,
+      "grad_norm": 0.44188860058784485,
+      "learning_rate": 0.00016321687541199739,
+      "loss": 1.8547,
+      "step": 565
+    },
+    {
+      "epoch": 0.18756169792694966,
+      "grad_norm": 0.5300605893135071,
+      "learning_rate": 0.00016288727752142388,
+      "loss": 1.8603,
+      "step": 570
+    },
+    {
+      "epoch": 0.18920697597894043,
+      "grad_norm": 0.5411728620529175,
+      "learning_rate": 0.00016255767963085037,
+      "loss": 1.8067,
+      "step": 575
+    },
+    {
+      "epoch": 0.19085225403093123,
+      "grad_norm": 0.5871673226356506,
+      "learning_rate": 0.00016222808174027687,
+      "loss": 1.8875,
+      "step": 580
+    },
+    {
+      "epoch": 0.192497532082922,
+      "grad_norm": 0.4898117482662201,
+      "learning_rate": 0.00016189848384970336,
+      "loss": 1.9148,
+      "step": 585
+    },
+    {
+      "epoch": 0.1941428101349128,
+      "grad_norm": 0.4848552346229553,
+      "learning_rate": 0.00016156888595912988,
+      "loss": 1.8179,
+      "step": 590
+    },
+    {
+      "epoch": 0.19578808818690357,
+      "grad_norm": 0.49930569529533386,
+      "learning_rate": 0.00016123928806855637,
+      "loss": 1.9306,
+      "step": 595
+    },
+    {
+      "epoch": 0.19743336623889438,
+      "grad_norm": 0.47816231846809387,
+      "learning_rate": 0.00016090969017798287,
+      "loss": 1.8287,
+      "step": 600
+    },
+    {
+      "epoch": 0.19907864429088515,
+      "grad_norm": 0.5759291052818298,
+      "learning_rate": 0.0001605800922874094,
+      "loss": 1.874,
+      "step": 605
+    },
+    {
+      "epoch": 0.20072392234287595,
+      "grad_norm": 0.5100725889205933,
+      "learning_rate": 0.00016025049439683585,
+      "loss": 1.8369,
+      "step": 610
+    },
+    {
+      "epoch": 0.20236920039486672,
+      "grad_norm": 0.5101613998413086,
+      "learning_rate": 0.00015992089650626237,
+      "loss": 1.9083,
+      "step": 615
+    },
+    {
+      "epoch": 0.20401447844685752,
+      "grad_norm": 0.4661300778388977,
+      "learning_rate": 0.00015959129861568887,
+      "loss": 1.9463,
+      "step": 620
+    },
+    {
+      "epoch": 0.2056597564988483,
+      "grad_norm": 0.4888961613178253,
+      "learning_rate": 0.00015926170072511536,
+      "loss": 1.7347,
+      "step": 625
+    },
+    {
+      "epoch": 0.2073050345508391,
+      "grad_norm": 0.535188615322113,
+      "learning_rate": 0.00015893210283454188,
+      "loss": 1.9484,
+      "step": 630
+    },
+    {
+      "epoch": 0.20895031260282987,
+      "grad_norm": 0.5426183938980103,
+      "learning_rate": 0.00015860250494396835,
+      "loss": 1.8787,
+      "step": 635
+    },
+    {
+      "epoch": 0.21059559065482067,
+      "grad_norm": 0.5056272745132446,
+      "learning_rate": 0.00015827290705339487,
+      "loss": 1.8434,
+      "step": 640
+    },
+    {
+      "epoch": 0.21224086870681144,
+      "grad_norm": 0.47972238063812256,
+      "learning_rate": 0.00015794330916282136,
+      "loss": 1.8703,
+      "step": 645
+    },
+    {
+      "epoch": 0.21388614675880224,
+      "grad_norm": 0.517246425151825,
+      "learning_rate": 0.00015761371127224786,
+      "loss": 1.8613,
+      "step": 650
+    },
+    {
+      "epoch": 0.21553142481079302,
+      "grad_norm": 0.4869682490825653,
+      "learning_rate": 0.00015728411338167438,
+      "loss": 1.9388,
+      "step": 655
+    },
+    {
+      "epoch": 0.21717670286278382,
+      "grad_norm": 0.5097903609275818,
+      "learning_rate": 0.00015695451549110087,
+      "loss": 1.8254,
+      "step": 660
+    },
+    {
+      "epoch": 0.2188219809147746,
+      "grad_norm": 0.5445834398269653,
+      "learning_rate": 0.00015662491760052736,
+      "loss": 1.8341,
+      "step": 665
+    },
+    {
+      "epoch": 0.2204672589667654,
+      "grad_norm": 0.4832437336444855,
+      "learning_rate": 0.00015629531970995386,
+      "loss": 1.9317,
+      "step": 670
+    },
+    {
+      "epoch": 0.22211253701875616,
+      "grad_norm": 0.45982053875923157,
+      "learning_rate": 0.00015596572181938035,
+      "loss": 1.8398,
+      "step": 675
+    },
+    {
+      "epoch": 0.22375781507074696,
+      "grad_norm": 0.5181317329406738,
+      "learning_rate": 0.00015563612392880687,
+      "loss": 1.776,
+      "step": 680
+    },
+    {
+      "epoch": 0.22540309312273774,
+      "grad_norm": 0.5491596460342407,
+      "learning_rate": 0.00015530652603823337,
+      "loss": 1.7015,
+      "step": 685
+    },
+    {
+      "epoch": 0.22704837117472854,
+      "grad_norm": 0.588294267654419,
+      "learning_rate": 0.00015497692814765986,
+      "loss": 1.8256,
+      "step": 690
+    },
+    {
+      "epoch": 0.2286936492267193,
+      "grad_norm": 0.5512030720710754,
+      "learning_rate": 0.00015464733025708635,
+      "loss": 1.7993,
+      "step": 695
+    },
+    {
+      "epoch": 0.2303389272787101,
+      "grad_norm": 0.5528048276901245,
+      "learning_rate": 0.00015431773236651285,
+      "loss": 1.8213,
+      "step": 700
+    },
+    {
+      "epoch": 0.23198420533070088,
+      "grad_norm": 0.5295950174331665,
+      "learning_rate": 0.00015398813447593937,
+      "loss": 1.7401,
+      "step": 705
+    },
+    {
+      "epoch": 0.23362948338269168,
+      "grad_norm": 0.4853232204914093,
+      "learning_rate": 0.00015365853658536586,
+      "loss": 1.8653,
+      "step": 710
+    },
+    {
+      "epoch": 0.23527476143468246,
+      "grad_norm": 0.4380806088447571,
+      "learning_rate": 0.00015332893869479238,
+      "loss": 1.7843,
+      "step": 715
+    },
+    {
+      "epoch": 0.23692003948667326,
+      "grad_norm": 0.5240153074264526,
+      "learning_rate": 0.00015299934080421887,
+      "loss": 1.7548,
+      "step": 720
+    },
+    {
+      "epoch": 0.23856531753866403,
+      "grad_norm": 0.5147051811218262,
+      "learning_rate": 0.00015266974291364534,
+      "loss": 1.8582,
+      "step": 725
+    },
+    {
+      "epoch": 0.24021059559065483,
+      "grad_norm": 0.5330904126167297,
+      "learning_rate": 0.00015234014502307186,
+      "loss": 1.737,
+      "step": 730
+    },
+    {
+      "epoch": 0.2418558736426456,
+      "grad_norm": 0.5441175699234009,
+      "learning_rate": 0.00015201054713249835,
+      "loss": 1.7784,
+      "step": 735
+    },
+    {
+      "epoch": 0.2435011516946364,
+      "grad_norm": 0.5241209268569946,
+      "learning_rate": 0.00015168094924192488,
+      "loss": 1.8404,
+      "step": 740
+    },
+    {
+      "epoch": 0.24514642974662718,
+      "grad_norm": 0.5611084699630737,
+      "learning_rate": 0.00015135135135135137,
+      "loss": 1.7501,
+      "step": 745
+    },
+    {
+      "epoch": 0.24679170779861798,
+      "grad_norm": 0.5845035314559937,
+      "learning_rate": 0.00015102175346077784,
+      "loss": 1.7205,
+      "step": 750
+    },
+    {
+      "epoch": 0.24843698585060875,
+      "grad_norm": 0.5952686667442322,
+      "learning_rate": 0.00015069215557020436,
+      "loss": 1.8205,
+      "step": 755
+    },
+    {
+      "epoch": 0.2500822639025995,
+      "grad_norm": 0.652553379535675,
+      "learning_rate": 0.00015036255767963085,
+      "loss": 1.8133,
+      "step": 760
+    },
+    {
+      "epoch": 0.25172754195459035,
+      "grad_norm": 0.5319493412971497,
+      "learning_rate": 0.00015003295978905737,
+      "loss": 1.7484,
+      "step": 765
+    },
+    {
+      "epoch": 0.2533728200065811,
+      "grad_norm": 0.5144583582878113,
+      "learning_rate": 0.00014970336189848386,
+      "loss": 1.825,
+      "step": 770
+    },
+    {
+      "epoch": 0.2550180980585719,
+      "grad_norm": 0.5155309438705444,
+      "learning_rate": 0.00014937376400791036,
+      "loss": 1.7823,
+      "step": 775
+    },
+    {
+      "epoch": 0.25666337611056267,
+      "grad_norm": 0.5156668424606323,
+      "learning_rate": 0.00014904416611733685,
+      "loss": 1.8167,
+      "step": 780
+    },
+    {
+      "epoch": 0.2583086541625535,
+      "grad_norm": 0.5913170576095581,
+      "learning_rate": 0.00014871456822676334,
+      "loss": 1.7961,
+      "step": 785
+    },
+    {
+      "epoch": 0.25995393221454427,
+      "grad_norm": 0.5405130982398987,
+      "learning_rate": 0.00014838497033618986,
+      "loss": 1.6679,
+      "step": 790
+    },
+    {
+      "epoch": 0.26159921026653504,
+      "grad_norm": 0.5765439867973328,
+      "learning_rate": 0.00014805537244561636,
+      "loss": 1.7794,
+      "step": 795
+    },
+    {
+      "epoch": 0.2632444883185258,
+      "grad_norm": 0.5708970427513123,
+      "learning_rate": 0.00014772577455504285,
+      "loss": 1.8888,
+      "step": 800
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 3039,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.6307808646864896e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8ab2fe07bf4c703e9c53c9869ae3ee92d78c9c5f69a6ae43d36b2ed4aec1e5a5
+size 5624