Training in progress, step 200, checkpoint

.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
+checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text

checkpoint-200/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen3-1.7B
+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

checkpoint-200/adapter_config.json

@@ -0,0 +1,39 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-1.7B",
+  "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": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "q_proj",
+    "down_proj",
+    "v_proj",
+    "k_proj",
+    "gate_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-200/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a14de41340baf1199edb1bd4a60982282a33130c56d342b73c228368dfc5023
+size 69782384

checkpoint-200/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
+}

checkpoint-200/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:575835d7d9f0ebb79e180d36d805ad7ffd26f25500e580884a495b8ebe47d32c
+size 139790651

checkpoint-200/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1a872848c4c0170cdae18529cdff1a7e25fab75315b06e87561fecc1409255d
+size 14709

checkpoint-200/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b687cd81189b233e088a5400f7d704014a686ad0b2064a54aed92470b0caf93
+size 1465

checkpoint-200/special_tokens_map.json

@@ -0,0 +1,25 @@
+{
+  "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": "<|im_end|>"
+}

checkpoint-200/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3693e8d4feea9af769307430ebff24aa6c1e2b57f8199cb932a7887af67bba3c
+size 11422929

checkpoint-200/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,
+  "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 message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\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>')[-1].lstrip('\\n') %}\n                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].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": 131072,
+  "pad_token": "<|im_end|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

checkpoint-200/trainer_state.json

@@ -0,0 +1,1434 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.32,
+  "eval_steps": 500,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0016,
+      "grad_norm": 18.498022079467773,
+      "learning_rate": 0.0,
+      "loss": 11.9034,
+      "step": 1
+    },
+    {
+      "epoch": 0.0032,
+      "grad_norm": 19.59610366821289,
+      "learning_rate": 7.142857142857143e-07,
+      "loss": 12.361,
+      "step": 2
+    },
+    {
+      "epoch": 0.0048,
+      "grad_norm": 19.05824089050293,
+      "learning_rate": 1.4285714285714286e-06,
+      "loss": 12.3027,
+      "step": 3
+    },
+    {
+      "epoch": 0.0064,
+      "grad_norm": 18.656831741333008,
+      "learning_rate": 2.1428571428571427e-06,
+      "loss": 11.9369,
+      "step": 4
+    },
+    {
+      "epoch": 0.008,
+      "grad_norm": 19.260093688964844,
+      "learning_rate": 2.8571428571428573e-06,
+      "loss": 12.0124,
+      "step": 5
+    },
+    {
+      "epoch": 0.0096,
+      "grad_norm": 18.27457046508789,
+      "learning_rate": 3.5714285714285718e-06,
+      "loss": 11.8957,
+      "step": 6
+    },
+    {
+      "epoch": 0.0112,
+      "grad_norm": 18.090967178344727,
+      "learning_rate": 4.2857142857142855e-06,
+      "loss": 12.0549,
+      "step": 7
+    },
+    {
+      "epoch": 0.0128,
+      "grad_norm": 18.144412994384766,
+      "learning_rate": 5e-06,
+      "loss": 12.0455,
+      "step": 8
+    },
+    {
+      "epoch": 0.0144,
+      "grad_norm": 17.77107048034668,
+      "learning_rate": 4.999967697817016e-06,
+      "loss": 12.0381,
+      "step": 9
+    },
+    {
+      "epoch": 0.016,
+      "grad_norm": 19.326251983642578,
+      "learning_rate": 4.9998707921028104e-06,
+      "loss": 12.2511,
+      "step": 10
+    },
+    {
+      "epoch": 0.0176,
+      "grad_norm": 20.007396697998047,
+      "learning_rate": 4.999709285361594e-06,
+      "loss": 12.5214,
+      "step": 11
+    },
+    {
+      "epoch": 0.0192,
+      "grad_norm": 18.9156551361084,
+      "learning_rate": 4.999483181766986e-06,
+      "loss": 12.226,
+      "step": 12
+    },
+    {
+      "epoch": 0.0208,
+      "grad_norm": 16.71934700012207,
+      "learning_rate": 4.999192487161895e-06,
+      "loss": 11.63,
+      "step": 13
+    },
+    {
+      "epoch": 0.0224,
+      "grad_norm": 16.819419860839844,
+      "learning_rate": 4.998837209058379e-06,
+      "loss": 11.8643,
+      "step": 14
+    },
+    {
+      "epoch": 0.024,
+      "grad_norm": 17.38993263244629,
+      "learning_rate": 4.998417356637445e-06,
+      "loss": 12.0876,
+      "step": 15
+    },
+    {
+      "epoch": 0.0256,
+      "grad_norm": 17.411874771118164,
+      "learning_rate": 4.997932940748811e-06,
+      "loss": 11.9954,
+      "step": 16
+    },
+    {
+      "epoch": 0.0272,
+      "grad_norm": 17.002464294433594,
+      "learning_rate": 4.997383973910631e-06,
+      "loss": 12.0872,
+      "step": 17
+    },
+    {
+      "epoch": 0.0288,
+      "grad_norm": 16.964523315429688,
+      "learning_rate": 4.996770470309167e-06,
+      "loss": 11.9659,
+      "step": 18
+    },
+    {
+      "epoch": 0.0304,
+      "grad_norm": 17.12218475341797,
+      "learning_rate": 4.9960924457984225e-06,
+      "loss": 11.9041,
+      "step": 19
+    },
+    {
+      "epoch": 0.032,
+      "grad_norm": 15.89167308807373,
+      "learning_rate": 4.995349917899735e-06,
+      "loss": 11.5677,
+      "step": 20
+    },
+    {
+      "epoch": 0.0336,
+      "grad_norm": 17.404312133789062,
+      "learning_rate": 4.994542905801323e-06,
+      "loss": 12.0405,
+      "step": 21
+    },
+    {
+      "epoch": 0.0352,
+      "grad_norm": 17.553056716918945,
+      "learning_rate": 4.993671430357788e-06,
+      "loss": 11.9337,
+      "step": 22
+    },
+    {
+      "epoch": 0.0368,
+      "grad_norm": 17.339885711669922,
+      "learning_rate": 4.9927355140895775e-06,
+      "loss": 11.9247,
+      "step": 23
+    },
+    {
+      "epoch": 0.0384,
+      "grad_norm": 16.14508056640625,
+      "learning_rate": 4.991735181182401e-06,
+      "loss": 11.5418,
+      "step": 24
+    },
+    {
+      "epoch": 0.04,
+      "grad_norm": 14.626124382019043,
+      "learning_rate": 4.9906704574866105e-06,
+      "loss": 11.4515,
+      "step": 25
+    },
+    {
+      "epoch": 0.0416,
+      "grad_norm": 17.168630599975586,
+      "learning_rate": 4.989541370516523e-06,
+      "loss": 11.9094,
+      "step": 26
+    },
+    {
+      "epoch": 0.0432,
+      "grad_norm": 15.818598747253418,
+      "learning_rate": 4.98834794944972e-06,
+      "loss": 11.7249,
+      "step": 27
+    },
+    {
+      "epoch": 0.0448,
+      "grad_norm": 15.550960540771484,
+      "learning_rate": 4.987090225126285e-06,
+      "loss": 11.3948,
+      "step": 28
+    },
+    {
+      "epoch": 0.0464,
+      "grad_norm": 15.328129768371582,
+      "learning_rate": 4.985768230048011e-06,
+      "loss": 11.3551,
+      "step": 29
+    },
+    {
+      "epoch": 0.048,
+      "grad_norm": 13.792865753173828,
+      "learning_rate": 4.9843819983775575e-06,
+      "loss": 11.1959,
+      "step": 30
+    },
+    {
+      "epoch": 0.0496,
+      "grad_norm": 15.154494285583496,
+      "learning_rate": 4.982931565937575e-06,
+      "loss": 11.7186,
+      "step": 31
+    },
+    {
+      "epoch": 0.0512,
+      "grad_norm": 14.210274696350098,
+      "learning_rate": 4.98141697020977e-06,
+      "loss": 11.3324,
+      "step": 32
+    },
+    {
+      "epoch": 0.0528,
+      "grad_norm": 14.419412612915039,
+      "learning_rate": 4.979838250333941e-06,
+      "loss": 11.0964,
+      "step": 33
+    },
+    {
+      "epoch": 0.0544,
+      "grad_norm": 14.476765632629395,
+      "learning_rate": 4.978195447106965e-06,
+      "loss": 11.4052,
+      "step": 34
+    },
+    {
+      "epoch": 0.056,
+      "grad_norm": 13.166458129882812,
+      "learning_rate": 4.976488602981748e-06,
+      "loss": 11.1172,
+      "step": 35
+    },
+    {
+      "epoch": 0.0576,
+      "grad_norm": 13.77320384979248,
+      "learning_rate": 4.974717762066123e-06,
+      "loss": 11.2174,
+      "step": 36
+    },
+    {
+      "epoch": 0.0592,
+      "grad_norm": 13.610458374023438,
+      "learning_rate": 4.972882970121711e-06,
+      "loss": 11.0993,
+      "step": 37
+    },
+    {
+      "epoch": 0.0608,
+      "grad_norm": 13.38510513305664,
+      "learning_rate": 4.970984274562741e-06,
+      "loss": 11.0244,
+      "step": 38
+    },
+    {
+      "epoch": 0.0624,
+      "grad_norm": 13.513715744018555,
+      "learning_rate": 4.969021724454821e-06,
+      "loss": 11.0893,
+      "step": 39
+    },
+    {
+      "epoch": 0.064,
+      "grad_norm": 12.476004600524902,
+      "learning_rate": 4.966995370513675e-06,
+      "loss": 10.9256,
+      "step": 40
+    },
+    {
+      "epoch": 0.0656,
+      "grad_norm": 13.007659912109375,
+      "learning_rate": 4.9649052651038255e-06,
+      "loss": 10.897,
+      "step": 41
+    },
+    {
+      "epoch": 0.0672,
+      "grad_norm": 12.74197006225586,
+      "learning_rate": 4.962751462237248e-06,
+      "loss": 10.9702,
+      "step": 42
+    },
+    {
+      "epoch": 0.0688,
+      "grad_norm": 11.668892860412598,
+      "learning_rate": 4.9605340175719686e-06,
+      "loss": 10.6871,
+      "step": 43
+    },
+    {
+      "epoch": 0.0704,
+      "grad_norm": 12.722009658813477,
+      "learning_rate": 4.958252988410631e-06,
+      "loss": 10.7933,
+      "step": 44
+    },
+    {
+      "epoch": 0.072,
+      "grad_norm": 10.594651222229004,
+      "learning_rate": 4.955908433699013e-06,
+      "loss": 10.2903,
+      "step": 45
+    },
+    {
+      "epoch": 0.0736,
+      "grad_norm": 12.946322441101074,
+      "learning_rate": 4.9535004140245005e-06,
+      "loss": 11.141,
+      "step": 46
+    },
+    {
+      "epoch": 0.0752,
+      "grad_norm": 12.783811569213867,
+      "learning_rate": 4.9510289916145295e-06,
+      "loss": 10.779,
+      "step": 47
+    },
+    {
+      "epoch": 0.0768,
+      "grad_norm": 11.354564666748047,
+      "learning_rate": 4.94849423033497e-06,
+      "loss": 10.5837,
+      "step": 48
+    },
+    {
+      "epoch": 0.0784,
+      "grad_norm": 11.848569869995117,
+      "learning_rate": 4.94589619568848e-06,
+      "loss": 10.5706,
+      "step": 49
+    },
+    {
+      "epoch": 0.08,
+      "grad_norm": 9.897051811218262,
+      "learning_rate": 4.943234954812812e-06,
+      "loss": 10.2364,
+      "step": 50
+    },
+    {
+      "epoch": 0.0816,
+      "grad_norm": 11.316352844238281,
+      "learning_rate": 4.940510576479079e-06,
+      "loss": 10.6149,
+      "step": 51
+    },
+    {
+      "epoch": 0.0832,
+      "grad_norm": 11.829602241516113,
+      "learning_rate": 4.937723131089974e-06,
+      "loss": 10.5496,
+      "step": 52
+    },
+    {
+      "epoch": 0.0848,
+      "grad_norm": 10.069260597229004,
+      "learning_rate": 4.934872690677953e-06,
+      "loss": 10.0925,
+      "step": 53
+    },
+    {
+      "epoch": 0.0864,
+      "grad_norm": 11.005655288696289,
+      "learning_rate": 4.931959328903376e-06,
+      "loss": 10.3874,
+      "step": 54
+    },
+    {
+      "epoch": 0.088,
+      "grad_norm": 10.913771629333496,
+      "learning_rate": 4.928983121052597e-06,
+      "loss": 10.3699,
+      "step": 55
+    },
+    {
+      "epoch": 0.0896,
+      "grad_norm": 10.943140983581543,
+      "learning_rate": 4.925944144036027e-06,
+      "loss": 10.3604,
+      "step": 56
+    },
+    {
+      "epoch": 0.0912,
+      "grad_norm": 11.520155906677246,
+      "learning_rate": 4.922842476386137e-06,
+      "loss": 10.45,
+      "step": 57
+    },
+    {
+      "epoch": 0.0928,
+      "grad_norm": 11.597639083862305,
+      "learning_rate": 4.919678198255438e-06,
+      "loss": 10.6551,
+      "step": 58
+    },
+    {
+      "epoch": 0.0944,
+      "grad_norm": 11.26528549194336,
+      "learning_rate": 4.9164513914144005e-06,
+      "loss": 10.3729,
+      "step": 59
+    },
+    {
+      "epoch": 0.096,
+      "grad_norm": 11.043292045593262,
+      "learning_rate": 4.91316213924935e-06,
+      "loss": 10.2723,
+      "step": 60
+    },
+    {
+      "epoch": 0.0976,
+      "grad_norm": 10.670892715454102,
+      "learning_rate": 4.909810526760307e-06,
+      "loss": 10.3842,
+      "step": 61
+    },
+    {
+      "epoch": 0.0992,
+      "grad_norm": 12.231328010559082,
+      "learning_rate": 4.90639664055879e-06,
+      "loss": 10.4897,
+      "step": 62
+    },
+    {
+      "epoch": 0.1008,
+      "grad_norm": 10.968878746032715,
+      "learning_rate": 4.902920568865582e-06,
+      "loss": 10.225,
+      "step": 63
+    },
+    {
+      "epoch": 0.1024,
+      "grad_norm": 10.761625289916992,
+      "learning_rate": 4.899382401508446e-06,
+      "loss": 10.0817,
+      "step": 64
+    },
+    {
+      "epoch": 0.104,
+      "grad_norm": 9.868699073791504,
+      "learning_rate": 4.8957822299198045e-06,
+      "loss": 9.9514,
+      "step": 65
+    },
+    {
+      "epoch": 0.1056,
+      "grad_norm": 10.76175308227539,
+      "learning_rate": 4.892120147134378e-06,
+      "loss": 10.2281,
+      "step": 66
+    },
+    {
+      "epoch": 0.1072,
+      "grad_norm": 10.531647682189941,
+      "learning_rate": 4.888396247786784e-06,
+      "loss": 10.0424,
+      "step": 67
+    },
+    {
+      "epoch": 0.1088,
+      "grad_norm": 9.720768928527832,
+      "learning_rate": 4.884610628109082e-06,
+      "loss": 9.8735,
+      "step": 68
+    },
+    {
+      "epoch": 0.1104,
+      "grad_norm": 10.765035629272461,
+      "learning_rate": 4.880763385928298e-06,
+      "loss": 10.1977,
+      "step": 69
+    },
+    {
+      "epoch": 0.112,
+      "grad_norm": 10.57542896270752,
+      "learning_rate": 4.876854620663887e-06,
+      "loss": 9.9432,
+      "step": 70
+    },
+    {
+      "epoch": 0.1136,
+      "grad_norm": 10.321698188781738,
+      "learning_rate": 4.872884433325169e-06,
+      "loss": 9.9563,
+      "step": 71
+    },
+    {
+      "epoch": 0.1152,
+      "grad_norm": 10.044979095458984,
+      "learning_rate": 4.868852926508721e-06,
+      "loss": 9.9412,
+      "step": 72
+    },
+    {
+      "epoch": 0.1168,
+      "grad_norm": 10.604913711547852,
+      "learning_rate": 4.864760204395717e-06,
+      "loss": 10.0144,
+      "step": 73
+    },
+    {
+      "epoch": 0.1184,
+      "grad_norm": 9.378023147583008,
+      "learning_rate": 4.860606372749247e-06,
+      "loss": 9.8055,
+      "step": 74
+    },
+    {
+      "epoch": 0.12,
+      "grad_norm": 9.08212947845459,
+      "learning_rate": 4.856391538911572e-06,
+      "loss": 9.7179,
+      "step": 75
+    },
+    {
+      "epoch": 0.1216,
+      "grad_norm": 10.120437622070312,
+      "learning_rate": 4.8521158118013605e-06,
+      "loss": 9.7055,
+      "step": 76
+    },
+    {
+      "epoch": 0.1232,
+      "grad_norm": 9.448174476623535,
+      "learning_rate": 4.847779301910868e-06,
+      "loss": 9.7753,
+      "step": 77
+    },
+    {
+      "epoch": 0.1248,
+      "grad_norm": 9.994352340698242,
+      "learning_rate": 4.843382121303082e-06,
+      "loss": 9.8005,
+      "step": 78
+    },
+    {
+      "epoch": 0.1264,
+      "grad_norm": 10.175590515136719,
+      "learning_rate": 4.83892438360883e-06,
+      "loss": 9.7149,
+      "step": 79
+    },
+    {
+      "epoch": 0.128,
+      "grad_norm": 9.187248229980469,
+      "learning_rate": 4.83440620402384e-06,
+      "loss": 9.5077,
+      "step": 80
+    },
+    {
+      "epoch": 0.1296,
+      "grad_norm": 8.287508964538574,
+      "learning_rate": 4.829827699305759e-06,
+      "loss": 9.2745,
+      "step": 81
+    },
+    {
+      "epoch": 0.1312,
+      "grad_norm": 9.502992630004883,
+      "learning_rate": 4.825188987771149e-06,
+      "loss": 9.7212,
+      "step": 82
+    },
+    {
+      "epoch": 0.1328,
+      "grad_norm": 9.398665428161621,
+      "learning_rate": 4.820490189292415e-06,
+      "loss": 9.4711,
+      "step": 83
+    },
+    {
+      "epoch": 0.1344,
+      "grad_norm": 9.67027473449707,
+      "learning_rate": 4.815731425294716e-06,
+      "loss": 9.6444,
+      "step": 84
+    },
+    {
+      "epoch": 0.136,
+      "grad_norm": 9.999480247497559,
+      "learning_rate": 4.810912818752825e-06,
+      "loss": 9.6473,
+      "step": 85
+    },
+    {
+      "epoch": 0.1376,
+      "grad_norm": 10.192490577697754,
+      "learning_rate": 4.806034494187949e-06,
+      "loss": 9.5,
+      "step": 86
+    },
+    {
+      "epoch": 0.1392,
+      "grad_norm": 10.132280349731445,
+      "learning_rate": 4.8010965776645145e-06,
+      "loss": 9.5879,
+      "step": 87
+    },
+    {
+      "epoch": 0.1408,
+      "grad_norm": 10.07225227355957,
+      "learning_rate": 4.796099196786908e-06,
+      "loss": 9.4842,
+      "step": 88
+    },
+    {
+      "epoch": 0.1424,
+      "grad_norm": 9.903701782226562,
+      "learning_rate": 4.791042480696179e-06,
+      "loss": 9.5136,
+      "step": 89
+    },
+    {
+      "epoch": 0.144,
+      "grad_norm": 9.270772933959961,
+      "learning_rate": 4.785926560066703e-06,
+      "loss": 9.367,
+      "step": 90
+    },
+    {
+      "epoch": 0.1456,
+      "grad_norm": 8.604142189025879,
+      "learning_rate": 4.780751567102801e-06,
+      "loss": 9.1618,
+      "step": 91
+    },
+    {
+      "epoch": 0.1472,
+      "grad_norm": 9.69423770904541,
+      "learning_rate": 4.775517635535332e-06,
+      "loss": 9.2597,
+      "step": 92
+    },
+    {
+      "epoch": 0.1488,
+      "grad_norm": 10.679227828979492,
+      "learning_rate": 4.770224900618226e-06,
+      "loss": 9.3722,
+      "step": 93
+    },
+    {
+      "epoch": 0.1504,
+      "grad_norm": 9.498805046081543,
+      "learning_rate": 4.764873499124997e-06,
+      "loss": 9.2149,
+      "step": 94
+    },
+    {
+      "epoch": 0.152,
+      "grad_norm": 10.133721351623535,
+      "learning_rate": 4.759463569345205e-06,
+      "loss": 9.211,
+      "step": 95
+    },
+    {
+      "epoch": 0.1536,
+      "grad_norm": 10.703787803649902,
+      "learning_rate": 4.753995251080884e-06,
+      "loss": 9.2456,
+      "step": 96
+    },
+    {
+      "epoch": 0.1552,
+      "grad_norm": 9.839086532592773,
+      "learning_rate": 4.748468685642926e-06,
+      "loss": 9.0973,
+      "step": 97
+    },
+    {
+      "epoch": 0.1568,
+      "grad_norm": 8.186079978942871,
+      "learning_rate": 4.742884015847436e-06,
+      "loss": 8.9378,
+      "step": 98
+    },
+    {
+      "epoch": 0.1584,
+      "grad_norm": 9.491665840148926,
+      "learning_rate": 4.737241386012032e-06,
+      "loss": 9.0209,
+      "step": 99
+    },
+    {
+      "epoch": 0.16,
+      "grad_norm": 9.313272476196289,
+      "learning_rate": 4.731540941952126e-06,
+      "loss": 9.0591,
+      "step": 100
+    },
+    {
+      "epoch": 0.1616,
+      "grad_norm": 9.365504264831543,
+      "learning_rate": 4.725782830977145e-06,
+      "loss": 9.0187,
+      "step": 101
+    },
+    {
+      "epoch": 0.1632,
+      "grad_norm": 9.761168479919434,
+      "learning_rate": 4.719967201886734e-06,
+      "loss": 8.9663,
+      "step": 102
+    },
+    {
+      "epoch": 0.1648,
+      "grad_norm": 10.886737823486328,
+      "learning_rate": 4.714094204966903e-06,
+      "loss": 9.0523,
+      "step": 103
+    },
+    {
+      "epoch": 0.1664,
+      "grad_norm": 11.529026985168457,
+      "learning_rate": 4.708163991986152e-06,
+      "loss": 8.9862,
+      "step": 104
+    },
+    {
+      "epoch": 0.168,
+      "grad_norm": 11.003949165344238,
+      "learning_rate": 4.702176716191539e-06,
+      "loss": 8.9944,
+      "step": 105
+    },
+    {
+      "epoch": 0.1696,
+      "grad_norm": 10.637957572937012,
+      "learning_rate": 4.696132532304727e-06,
+      "loss": 8.7661,
+      "step": 106
+    },
+    {
+      "epoch": 0.1712,
+      "grad_norm": 10.600850105285645,
+      "learning_rate": 4.690031596517984e-06,
+      "loss": 8.6939,
+      "step": 107
+    },
+    {
+      "epoch": 0.1728,
+      "grad_norm": 10.38036823272705,
+      "learning_rate": 4.683874066490143e-06,
+      "loss": 8.8789,
+      "step": 108
+    },
+    {
+      "epoch": 0.1744,
+      "grad_norm": 10.32800006866455,
+      "learning_rate": 4.677660101342536e-06,
+      "loss": 8.7128,
+      "step": 109
+    },
+    {
+      "epoch": 0.176,
+      "grad_norm": 9.01140022277832,
+      "learning_rate": 4.671389861654873e-06,
+      "loss": 8.5539,
+      "step": 110
+    },
+    {
+      "epoch": 0.1776,
+      "grad_norm": 10.66911792755127,
+      "learning_rate": 4.665063509461098e-06,
+      "loss": 8.6381,
+      "step": 111
+    },
+    {
+      "epoch": 0.1792,
+      "grad_norm": 12.453883171081543,
+      "learning_rate": 4.658681208245198e-06,
+      "loss": 8.744,
+      "step": 112
+    },
+    {
+      "epoch": 0.1808,
+      "grad_norm": 10.25079345703125,
+      "learning_rate": 4.652243122936987e-06,
+      "loss": 8.4376,
+      "step": 113
+    },
+    {
+      "epoch": 0.1824,
+      "grad_norm": 13.820728302001953,
+      "learning_rate": 4.645749419907829e-06,
+      "loss": 8.7434,
+      "step": 114
+    },
+    {
+      "epoch": 0.184,
+      "grad_norm": 9.763056755065918,
+      "learning_rate": 4.639200266966351e-06,
+      "loss": 8.5522,
+      "step": 115
+    },
+    {
+      "epoch": 0.1856,
+      "grad_norm": 12.80479907989502,
+      "learning_rate": 4.632595833354105e-06,
+      "loss": 8.5777,
+      "step": 116
+    },
+    {
+      "epoch": 0.1872,
+      "grad_norm": 11.518301963806152,
+      "learning_rate": 4.625936289741187e-06,
+      "loss": 8.2751,
+      "step": 117
+    },
+    {
+      "epoch": 0.1888,
+      "grad_norm": 13.24626350402832,
+      "learning_rate": 4.619221808221833e-06,
+      "loss": 8.4951,
+      "step": 118
+    },
+    {
+      "epoch": 0.1904,
+      "grad_norm": 14.117487907409668,
+      "learning_rate": 4.612452562309975e-06,
+      "loss": 8.3492,
+      "step": 119
+    },
+    {
+      "epoch": 0.192,
+      "grad_norm": 12.98033618927002,
+      "learning_rate": 4.605628726934747e-06,
+      "loss": 8.2238,
+      "step": 120
+    },
+    {
+      "epoch": 0.1936,
+      "grad_norm": 11.61721420288086,
+      "learning_rate": 4.598750478435973e-06,
+      "loss": 8.2197,
+      "step": 121
+    },
+    {
+      "epoch": 0.1952,
+      "grad_norm": 12.619826316833496,
+      "learning_rate": 4.5918179945596055e-06,
+      "loss": 8.2005,
+      "step": 122
+    },
+    {
+      "epoch": 0.1968,
+      "grad_norm": 11.586774826049805,
+      "learning_rate": 4.584831454453135e-06,
+      "loss": 8.0181,
+      "step": 123
+    },
+    {
+      "epoch": 0.1984,
+      "grad_norm": 11.792032241821289,
+      "learning_rate": 4.577791038660959e-06,
+      "loss": 8.1414,
+      "step": 124
+    },
+    {
+      "epoch": 0.2,
+      "grad_norm": 14.116670608520508,
+      "learning_rate": 4.570696929119717e-06,
+      "loss": 7.9288,
+      "step": 125
+    },
+    {
+      "epoch": 0.2016,
+      "grad_norm": 13.249540328979492,
+      "learning_rate": 4.563549309153589e-06,
+      "loss": 7.8991,
+      "step": 126
+    },
+    {
+      "epoch": 0.2032,
+      "grad_norm": 13.10855770111084,
+      "learning_rate": 4.556348363469556e-06,
+      "loss": 7.7997,
+      "step": 127
+    },
+    {
+      "epoch": 0.2048,
+      "grad_norm": 13.13003921508789,
+      "learning_rate": 4.549094278152631e-06,
+      "loss": 7.7856,
+      "step": 128
+    },
+    {
+      "epoch": 0.2064,
+      "grad_norm": 11.22130012512207,
+      "learning_rate": 4.541787240661049e-06,
+      "loss": 7.8092,
+      "step": 129
+    },
+    {
+      "epoch": 0.208,
+      "grad_norm": 12.641518592834473,
+      "learning_rate": 4.534427439821416e-06,
+      "loss": 7.6641,
+      "step": 130
+    },
+    {
+      "epoch": 0.2096,
+      "grad_norm": 12.413702964782715,
+      "learning_rate": 4.527015065823841e-06,
+      "loss": 7.6125,
+      "step": 131
+    },
+    {
+      "epoch": 0.2112,
+      "grad_norm": 12.156352043151855,
+      "learning_rate": 4.519550310217013e-06,
+      "loss": 7.5519,
+      "step": 132
+    },
+    {
+      "epoch": 0.2128,
+      "grad_norm": 11.665326118469238,
+      "learning_rate": 4.512033365903251e-06,
+      "loss": 7.5902,
+      "step": 133
+    },
+    {
+      "epoch": 0.2144,
+      "grad_norm": 12.924529075622559,
+      "learning_rate": 4.504464427133527e-06,
+      "loss": 7.5706,
+      "step": 134
+    },
+    {
+      "epoch": 0.216,
+      "grad_norm": 15.648908615112305,
+      "learning_rate": 4.496843689502435e-06,
+      "loss": 7.3488,
+      "step": 135
+    },
+    {
+      "epoch": 0.2176,
+      "grad_norm": 13.633544921875,
+      "learning_rate": 4.489171349943144e-06,
+      "loss": 7.2841,
+      "step": 136
+    },
+    {
+      "epoch": 0.2192,
+      "grad_norm": 14.129197120666504,
+      "learning_rate": 4.481447606722309e-06,
+      "loss": 7.2605,
+      "step": 137
+    },
+    {
+      "epoch": 0.2208,
+      "grad_norm": 15.414569854736328,
+      "learning_rate": 4.473672659434941e-06,
+      "loss": 7.1375,
+      "step": 138
+    },
+    {
+      "epoch": 0.2224,
+      "grad_norm": 15.15605640411377,
+      "learning_rate": 4.465846708999258e-06,
+      "loss": 7.3157,
+      "step": 139
+    },
+    {
+      "epoch": 0.224,
+      "grad_norm": 13.083776473999023,
+      "learning_rate": 4.457969957651485e-06,
+      "loss": 7.1391,
+      "step": 140
+    },
+    {
+      "epoch": 0.2256,
+      "grad_norm": 14.658546447753906,
+      "learning_rate": 4.450042608940632e-06,
+      "loss": 6.8354,
+      "step": 141
+    },
+    {
+      "epoch": 0.2272,
+      "grad_norm": 13.068192481994629,
+      "learning_rate": 4.442064867723236e-06,
+      "loss": 6.9534,
+      "step": 142
+    },
+    {
+      "epoch": 0.2288,
+      "grad_norm": 13.683319091796875,
+      "learning_rate": 4.434036940158062e-06,
+      "loss": 6.7263,
+      "step": 143
+    },
+    {
+      "epoch": 0.2304,
+      "grad_norm": 12.352782249450684,
+      "learning_rate": 4.425959033700776e-06,
+      "loss": 6.9508,
+      "step": 144
+    },
+    {
+      "epoch": 0.232,
+      "grad_norm": 12.934060096740723,
+      "learning_rate": 4.417831357098591e-06,
+      "loss": 6.7608,
+      "step": 145
+    },
+    {
+      "epoch": 0.2336,
+      "grad_norm": 10.694926261901855,
+      "learning_rate": 4.409654120384863e-06,
+      "loss": 6.9133,
+      "step": 146
+    },
+    {
+      "epoch": 0.2352,
+      "grad_norm": 13.42801570892334,
+      "learning_rate": 4.401427534873669e-06,
+      "loss": 6.2184,
+      "step": 147
+    },
+    {
+      "epoch": 0.2368,
+      "grad_norm": 12.629581451416016,
+      "learning_rate": 4.393151813154345e-06,
+      "loss": 6.1405,
+      "step": 148
+    },
+    {
+      "epoch": 0.2384,
+      "grad_norm": 9.909472465515137,
+      "learning_rate": 4.384827169085993e-06,
+      "loss": 6.376,
+      "step": 149
+    },
+    {
+      "epoch": 0.24,
+      "grad_norm": 9.083218574523926,
+      "learning_rate": 4.3764538177919555e-06,
+      "loss": 6.387,
+      "step": 150
+    },
+    {
+      "epoch": 0.2416,
+      "grad_norm": 8.383381843566895,
+      "learning_rate": 4.3680319756542525e-06,
+      "loss": 6.7282,
+      "step": 151
+    },
+    {
+      "epoch": 0.2432,
+      "grad_norm": 8.961660385131836,
+      "learning_rate": 4.35956186030799e-06,
+      "loss": 6.2623,
+      "step": 152
+    },
+    {
+      "epoch": 0.2448,
+      "grad_norm": 9.286286354064941,
+      "learning_rate": 4.351043690635744e-06,
+      "loss": 6.0499,
+      "step": 153
+    },
+    {
+      "epoch": 0.2464,
+      "grad_norm": 9.719377517700195,
+      "learning_rate": 4.3424776867618935e-06,
+      "loss": 6.4369,
+      "step": 154
+    },
+    {
+      "epoch": 0.248,
+      "grad_norm": 7.7872700691223145,
+      "learning_rate": 4.333864070046938e-06,
+      "loss": 6.0176,
+      "step": 155
+    },
+    {
+      "epoch": 0.2496,
+      "grad_norm": 8.78665828704834,
+      "learning_rate": 4.325203063081776e-06,
+      "loss": 6.0201,
+      "step": 156
+    },
+    {
+      "epoch": 0.2512,
+      "grad_norm": 7.898557186126709,
+      "learning_rate": 4.3164948896819535e-06,
+      "loss": 6.1595,
+      "step": 157
+    },
+    {
+      "epoch": 0.2528,
+      "grad_norm": 9.21320629119873,
+      "learning_rate": 4.307739774881878e-06,
+      "loss": 6.3917,
+      "step": 158
+    },
+    {
+      "epoch": 0.2544,
+      "grad_norm": 6.031705379486084,
+      "learning_rate": 4.298937944929007e-06,
+      "loss": 5.6134,
+      "step": 159
+    },
+    {
+      "epoch": 0.256,
+      "grad_norm": 7.0851006507873535,
+      "learning_rate": 4.290089627277998e-06,
+      "loss": 5.4909,
+      "step": 160
+    },
+    {
+      "epoch": 0.2576,
+      "grad_norm": 7.172662258148193,
+      "learning_rate": 4.28119505058483e-06,
+      "loss": 6.1213,
+      "step": 161
+    },
+    {
+      "epoch": 0.2592,
+      "grad_norm": 7.241125583648682,
+      "learning_rate": 4.2722544447008995e-06,
+      "loss": 5.9029,
+      "step": 162
+    },
+    {
+      "epoch": 0.2608,
+      "grad_norm": 6.174571514129639,
+      "learning_rate": 4.263268040667075e-06,
+      "loss": 5.9515,
+      "step": 163
+    },
+    {
+      "epoch": 0.2624,
+      "grad_norm": 5.6988935470581055,
+      "learning_rate": 4.254236070707734e-06,
+      "loss": 5.8603,
+      "step": 164
+    },
+    {
+      "epoch": 0.264,
+      "grad_norm": 5.242663383483887,
+      "learning_rate": 4.245158768224748e-06,
+      "loss": 5.6214,
+      "step": 165
+    },
+    {
+      "epoch": 0.2656,
+      "grad_norm": 5.694828987121582,
+      "learning_rate": 4.236036367791471e-06,
+      "loss": 6.3081,
+      "step": 166
+    },
+    {
+      "epoch": 0.2672,
+      "grad_norm": 7.1838788986206055,
+      "learning_rate": 4.226869105146658e-06,
+      "loss": 5.4577,
+      "step": 167
+    },
+    {
+      "epoch": 0.2688,
+      "grad_norm": 8.755837440490723,
+      "learning_rate": 4.2176572171883865e-06,
+      "loss": 5.5286,
+      "step": 168
+    },
+    {
+      "epoch": 0.2704,
+      "grad_norm": 4.821361064910889,
+      "learning_rate": 4.208400941967928e-06,
+      "loss": 5.8776,
+      "step": 169
+    },
+    {
+      "epoch": 0.272,
+      "grad_norm": 5.043092250823975,
+      "learning_rate": 4.199100518683601e-06,
+      "loss": 5.6913,
+      "step": 170
+    },
+    {
+      "epoch": 0.2736,
+      "grad_norm": 5.266634941101074,
+      "learning_rate": 4.189756187674584e-06,
+      "loss": 5.8228,
+      "step": 171
+    },
+    {
+      "epoch": 0.2752,
+      "grad_norm": 5.798868179321289,
+      "learning_rate": 4.18036819041471e-06,
+      "loss": 5.6908,
+      "step": 172
+    },
+    {
+      "epoch": 0.2768,
+      "grad_norm": 5.337583065032959,
+      "learning_rate": 4.170936769506222e-06,
+      "loss": 6.0907,
+      "step": 173
+    },
+    {
+      "epoch": 0.2784,
+      "grad_norm": 4.3411102294921875,
+      "learning_rate": 4.161462168673508e-06,
+      "loss": 5.8087,
+      "step": 174
+    },
+    {
+      "epoch": 0.28,
+      "grad_norm": 6.649768829345703,
+      "learning_rate": 4.1519446327567995e-06,
+      "loss": 5.2901,
+      "step": 175
+    },
+    {
+      "epoch": 0.2816,
+      "grad_norm": 6.4602556228637695,
+      "learning_rate": 4.142384407705846e-06,
+      "loss": 5.274,
+      "step": 176
+    },
+    {
+      "epoch": 0.2832,
+      "grad_norm": 5.464128017425537,
+      "learning_rate": 4.132781740573559e-06,
+      "loss": 6.0373,
+      "step": 177
+    },
+    {
+      "epoch": 0.2848,
+      "grad_norm": 6.308886528015137,
+      "learning_rate": 4.123136879509626e-06,
+      "loss": 5.2471,
+      "step": 178
+    },
+    {
+      "epoch": 0.2864,
+      "grad_norm": 4.4718828201293945,
+      "learning_rate": 4.1134500737541026e-06,
+      "loss": 5.3702,
+      "step": 179
+    },
+    {
+      "epoch": 0.288,
+      "grad_norm": 3.863276958465576,
+      "learning_rate": 4.103721573630965e-06,
+      "loss": 5.3922,
+      "step": 180
+    },
+    {
+      "epoch": 0.2896,
+      "grad_norm": 4.226170063018799,
+      "learning_rate": 4.093951630541646e-06,
+      "loss": 5.4302,
+      "step": 181
+    },
+    {
+      "epoch": 0.2912,
+      "grad_norm": 3.5398764610290527,
+      "learning_rate": 4.084140496958539e-06,
+      "loss": 5.3444,
+      "step": 182
+    },
+    {
+      "epoch": 0.2928,
+      "grad_norm": 3.5163183212280273,
+      "learning_rate": 4.074288426418467e-06,
+      "loss": 5.3247,
+      "step": 183
+    },
+    {
+      "epoch": 0.2944,
+      "grad_norm": 5.308356761932373,
+      "learning_rate": 4.06439567351614e-06,
+      "loss": 5.6837,
+      "step": 184
+    },
+    {
+      "epoch": 0.296,
+      "grad_norm": 3.6820993423461914,
+      "learning_rate": 4.054462493897569e-06,
+      "loss": 5.1638,
+      "step": 185
+    },
+    {
+      "epoch": 0.2976,
+      "grad_norm": 3.9401638507843018,
+      "learning_rate": 4.0444891442534615e-06,
+      "loss": 5.498,
+      "step": 186
+    },
+    {
+      "epoch": 0.2992,
+      "grad_norm": 5.141748428344727,
+      "learning_rate": 4.034475882312593e-06,
+      "loss": 5.1034,
+      "step": 187
+    },
+    {
+      "epoch": 0.3008,
+      "grad_norm": 3.4670636653900146,
+      "learning_rate": 4.024422966835137e-06,
+      "loss": 5.2071,
+      "step": 188
+    },
+    {
+      "epoch": 0.3024,
+      "grad_norm": 3.7121994495391846,
+      "learning_rate": 4.014330657605984e-06,
+      "loss": 5.3885,
+      "step": 189
+    },
+    {
+      "epoch": 0.304,
+      "grad_norm": 5.863914489746094,
+      "learning_rate": 4.004199215428032e-06,
+      "loss": 5.5361,
+      "step": 190
+    },
+    {
+      "epoch": 0.3056,
+      "grad_norm": 3.343780517578125,
+      "learning_rate": 3.994028902115439e-06,
+      "loss": 5.4439,
+      "step": 191
+    },
+    {
+      "epoch": 0.3072,
+      "grad_norm": 4.041346073150635,
+      "learning_rate": 3.9838199804868635e-06,
+      "loss": 5.6031,
+      "step": 192
+    },
+    {
+      "epoch": 0.3088,
+      "grad_norm": 2.9033005237579346,
+      "learning_rate": 3.973572714358668e-06,
+      "loss": 5.3807,
+      "step": 193
+    },
+    {
+      "epoch": 0.3104,
+      "grad_norm": 3.026655435562134,
+      "learning_rate": 3.963287368538105e-06,
+      "loss": 5.6681,
+      "step": 194
+    },
+    {
+      "epoch": 0.312,
+      "grad_norm": 5.9403862953186035,
+      "learning_rate": 3.9529642088164736e-06,
+      "loss": 5.1567,
+      "step": 195
+    },
+    {
+      "epoch": 0.3136,
+      "grad_norm": 4.5110883712768555,
+      "learning_rate": 3.942603501962249e-06,
+      "loss": 5.3055,
+      "step": 196
+    },
+    {
+      "epoch": 0.3152,
+      "grad_norm": 4.24874210357666,
+      "learning_rate": 3.932205515714189e-06,
+      "loss": 5.3806,
+      "step": 197
+    },
+    {
+      "epoch": 0.3168,
+      "grad_norm": 4.06620979309082,
+      "learning_rate": 3.92177051877442e-06,
+      "loss": 5.5074,
+      "step": 198
+    },
+    {
+      "epoch": 0.3184,
+      "grad_norm": 3.4436845779418945,
+      "learning_rate": 3.9112987808014824e-06,
+      "loss": 5.3936,
+      "step": 199
+    },
+    {
+      "epoch": 0.32,
+      "grad_norm": 3.5736324787139893,
+      "learning_rate": 3.900790572403376e-06,
+      "loss": 5.3905,
+      "step": 200
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 625,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 200,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.40264337309696e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-200/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f9c131ec82b7036d80ac9ed64508f14e94126d4e636677cdd51924e8f7bcc41
+size 5905