Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen2.5-14B-Instruct
+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 0.12.1.dev0

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2.5-14B-Instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "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": [
+    "o_proj",
+    "gate_proj",
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "up_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0b2d802649c389abf8ad6bb282b20ac13fee44c5034b37bb24b916c2f6943fb
+size 275341720

added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|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 sha256:20aaaf5ac6966cce58bd564077be322aa85520c596215326628d79d4a5b0656a
+size 551070514

rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b785150ccacc83b3f125aeb7aa750b5a16468c490a36c624e524b8c1a382961c
+size 14512

rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:86d544ba8e0df2270eb2853930b6f8a6555545fd91105a06e3ac8bd365de3629
+size 14512

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23d9ac8638d4f9db2cda62883dfc9d2d95fe0bd7d949a5be01b02bf0dfc2efa4
+size 1064

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": "<|endoftext|>"
+}

tokenizer_config.json

@@ -0,0 +1,207 @@
+{
+  "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
+    }
+  },
+  "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    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <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    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) 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{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_state.json

@@ -0,0 +1,979 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.967359713838587,
+  "eval_steps": 50,
+  "global_step": 1100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.017885088307623517,
+      "grad_norm": 0.27167433500289917,
+      "learning_rate": 5.9523809523809525e-06,
+      "loss": 1.9206,
+      "step": 10
+    },
+    {
+      "epoch": 0.035770176615247035,
+      "grad_norm": 0.2490677386522293,
+      "learning_rate": 1.1904761904761905e-05,
+      "loss": 1.8864,
+      "step": 20
+    },
+    {
+      "epoch": 0.05365526492287056,
+      "grad_norm": 0.23479315638542175,
+      "learning_rate": 1.785714285714286e-05,
+      "loss": 1.8092,
+      "step": 30
+    },
+    {
+      "epoch": 0.07154035323049407,
+      "grad_norm": 0.2516893446445465,
+      "learning_rate": 2.380952380952381e-05,
+      "loss": 1.6878,
+      "step": 40
+    },
+    {
+      "epoch": 0.0894254415381176,
+      "grad_norm": 0.30081456899642944,
+      "learning_rate": 2.9761904761904762e-05,
+      "loss": 1.4673,
+      "step": 50
+    },
+    {
+      "epoch": 0.0894254415381176,
+      "eval_loss": 1.3079078197479248,
+      "eval_runtime": 340.2145,
+      "eval_samples_per_second": 5.843,
+      "eval_steps_per_second": 2.922,
+      "step": 50
+    },
+    {
+      "epoch": 0.10731052984574112,
+      "grad_norm": 0.40885159373283386,
+      "learning_rate": 3.571428571428572e-05,
+      "loss": 1.1216,
+      "step": 60
+    },
+    {
+      "epoch": 0.12519561815336464,
+      "grad_norm": 0.34105631709098816,
+      "learning_rate": 4.166666666666667e-05,
+      "loss": 0.623,
+      "step": 70
+    },
+    {
+      "epoch": 0.14308070646098814,
+      "grad_norm": 0.08575189858675003,
+      "learning_rate": 4.761904761904762e-05,
+      "loss": 0.321,
+      "step": 80
+    },
+    {
+      "epoch": 0.16096579476861167,
+      "grad_norm": 0.06351594626903534,
+      "learning_rate": 5.3571428571428575e-05,
+      "loss": 0.2671,
+      "step": 90
+    },
+    {
+      "epoch": 0.1788508830762352,
+      "grad_norm": 0.044943634420633316,
+      "learning_rate": 5.9523809523809524e-05,
+      "loss": 0.2634,
+      "step": 100
+    },
+    {
+      "epoch": 0.1788508830762352,
+      "eval_loss": 0.2529277801513672,
+      "eval_runtime": 340.0791,
+      "eval_samples_per_second": 5.846,
+      "eval_steps_per_second": 2.923,
+      "step": 100
+    },
+    {
+      "epoch": 0.1967359713838587,
+      "grad_norm": 0.04525942727923393,
+      "learning_rate": 6.547619047619048e-05,
+      "loss": 0.2476,
+      "step": 110
+    },
+    {
+      "epoch": 0.21462105969148224,
+      "grad_norm": 0.03497561439871788,
+      "learning_rate": 7.142857142857143e-05,
+      "loss": 0.2364,
+      "step": 120
+    },
+    {
+      "epoch": 0.23250614799910574,
+      "grad_norm": 0.03806141018867493,
+      "learning_rate": 7.738095238095239e-05,
+      "loss": 0.2375,
+      "step": 130
+    },
+    {
+      "epoch": 0.25039123630672927,
+      "grad_norm": 0.03912373259663582,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 0.2458,
+      "step": 140
+    },
+    {
+      "epoch": 0.2682763246143528,
+      "grad_norm": 0.038528475910425186,
+      "learning_rate": 8.92857142857143e-05,
+      "loss": 0.2356,
+      "step": 150
+    },
+    {
+      "epoch": 0.2682763246143528,
+      "eval_loss": 0.2338634878396988,
+      "eval_runtime": 340.1092,
+      "eval_samples_per_second": 5.845,
+      "eval_steps_per_second": 2.923,
+      "step": 150
+    },
+    {
+      "epoch": 0.2861614129219763,
+      "grad_norm": 0.033717814832925797,
+      "learning_rate": 9.523809523809524e-05,
+      "loss": 0.2328,
+      "step": 160
+    },
+    {
+      "epoch": 0.3040465012295998,
+      "grad_norm": 0.034611135721206665,
+      "learning_rate": 9.98674618952949e-05,
+      "loss": 0.232,
+      "step": 170
+    },
+    {
+      "epoch": 0.32193158953722334,
+      "grad_norm": 0.03772770240902901,
+      "learning_rate": 9.920477137176939e-05,
+      "loss": 0.2321,
+      "step": 180
+    },
+    {
+      "epoch": 0.33981667784484687,
+      "grad_norm": 0.03764208406209946,
+      "learning_rate": 9.854208084824388e-05,
+      "loss": 0.2252,
+      "step": 190
+    },
+    {
+      "epoch": 0.3577017661524704,
+      "grad_norm": 0.04233132675290108,
+      "learning_rate": 9.787939032471835e-05,
+      "loss": 0.2255,
+      "step": 200
+    },
+    {
+      "epoch": 0.3577017661524704,
+      "eval_loss": 0.22211842238903046,
+      "eval_runtime": 340.2159,
+      "eval_samples_per_second": 5.843,
+      "eval_steps_per_second": 2.922,
+      "step": 200
+    },
+    {
+      "epoch": 0.3755868544600939,
+      "grad_norm": 0.04666154831647873,
+      "learning_rate": 9.721669980119285e-05,
+      "loss": 0.2221,
+      "step": 210
+    },
+    {
+      "epoch": 0.3934719427677174,
+      "grad_norm": 0.05546770244836807,
+      "learning_rate": 9.655400927766734e-05,
+      "loss": 0.2241,
+      "step": 220
+    },
+    {
+      "epoch": 0.41135703107534094,
+      "grad_norm": 0.04022465646266937,
+      "learning_rate": 9.589131875414182e-05,
+      "loss": 0.2144,
+      "step": 230
+    },
+    {
+      "epoch": 0.42924211938296447,
+      "grad_norm": 0.041572101414203644,
+      "learning_rate": 9.52286282306163e-05,
+      "loss": 0.2113,
+      "step": 240
+    },
+    {
+      "epoch": 0.44712720769058795,
+      "grad_norm": 0.039912398904561996,
+      "learning_rate": 9.45659377070908e-05,
+      "loss": 0.2143,
+      "step": 250
+    },
+    {
+      "epoch": 0.44712720769058795,
+      "eval_loss": 0.21348513662815094,
+      "eval_runtime": 339.9419,
+      "eval_samples_per_second": 5.848,
+      "eval_steps_per_second": 2.924,
+      "step": 250
+    },
+    {
+      "epoch": 0.4650122959982115,
+      "grad_norm": 0.04531717300415039,
+      "learning_rate": 9.390324718356528e-05,
+      "loss": 0.2078,
+      "step": 260
+    },
+    {
+      "epoch": 0.482897384305835,
+      "grad_norm": 0.05076432228088379,
+      "learning_rate": 9.324055666003977e-05,
+      "loss": 0.2105,
+      "step": 270
+    },
+    {
+      "epoch": 0.5007824726134585,
+      "grad_norm": 0.05077740550041199,
+      "learning_rate": 9.257786613651425e-05,
+      "loss": 0.2102,
+      "step": 280
+    },
+    {
+      "epoch": 0.518667560921082,
+      "grad_norm": 0.05294053629040718,
+      "learning_rate": 9.191517561298874e-05,
+      "loss": 0.2116,
+      "step": 290
+    },
+    {
+      "epoch": 0.5365526492287056,
+      "grad_norm": 0.04222816973924637,
+      "learning_rate": 9.125248508946323e-05,
+      "loss": 0.2004,
+      "step": 300
+    },
+    {
+      "epoch": 0.5365526492287056,
+      "eval_loss": 0.205940380692482,
+      "eval_runtime": 340.0032,
+      "eval_samples_per_second": 5.847,
+      "eval_steps_per_second": 2.924,
+      "step": 300
+    },
+    {
+      "epoch": 0.5544377375363291,
+      "grad_norm": 0.06563922017812729,
+      "learning_rate": 9.058979456593771e-05,
+      "loss": 0.2024,
+      "step": 310
+    },
+    {
+      "epoch": 0.5723228258439526,
+      "grad_norm": 0.06504207849502563,
+      "learning_rate": 8.99271040424122e-05,
+      "loss": 0.2076,
+      "step": 320
+    },
+    {
+      "epoch": 0.5902079141515761,
+      "grad_norm": 0.055658888071775436,
+      "learning_rate": 8.926441351888669e-05,
+      "loss": 0.2026,
+      "step": 330
+    },
+    {
+      "epoch": 0.6080930024591996,
+      "grad_norm": 0.0635204091668129,
+      "learning_rate": 8.860172299536117e-05,
+      "loss": 0.199,
+      "step": 340
+    },
+    {
+      "epoch": 0.6259780907668232,
+      "grad_norm": 0.06404862552881241,
+      "learning_rate": 8.793903247183566e-05,
+      "loss": 0.2048,
+      "step": 350
+    },
+    {
+      "epoch": 0.6259780907668232,
+      "eval_loss": 0.1987379640340805,
+      "eval_runtime": 339.7556,
+      "eval_samples_per_second": 5.851,
+      "eval_steps_per_second": 2.926,
+      "step": 350
+    },
+    {
+      "epoch": 0.6438631790744467,
+      "grad_norm": 0.061456065624952316,
+      "learning_rate": 8.727634194831014e-05,
+      "loss": 0.2002,
+      "step": 360
+    },
+    {
+      "epoch": 0.6617482673820702,
+      "grad_norm": 0.059758663177490234,
+      "learning_rate": 8.661365142478463e-05,
+      "loss": 0.1928,
+      "step": 370
+    },
+    {
+      "epoch": 0.6796333556896937,
+      "grad_norm": 0.07035389542579651,
+      "learning_rate": 8.595096090125912e-05,
+      "loss": 0.1982,
+      "step": 380
+    },
+    {
+      "epoch": 0.6975184439973172,
+      "grad_norm": 0.05884738266468048,
+      "learning_rate": 8.52882703777336e-05,
+      "loss": 0.199,
+      "step": 390
+    },
+    {
+      "epoch": 0.7154035323049408,
+      "grad_norm": 0.07666763663291931,
+      "learning_rate": 8.462557985420809e-05,
+      "loss": 0.1901,
+      "step": 400
+    },
+    {
+      "epoch": 0.7154035323049408,
+      "eval_loss": 0.19112130999565125,
+      "eval_runtime": 339.7085,
+      "eval_samples_per_second": 5.852,
+      "eval_steps_per_second": 2.926,
+      "step": 400
+    },
+    {
+      "epoch": 0.7332886206125643,
+      "grad_norm": 0.07783893495798111,
+      "learning_rate": 8.396288933068258e-05,
+      "loss": 0.1903,
+      "step": 410
+    },
+    {
+      "epoch": 0.7511737089201878,
+      "grad_norm": 0.06356322020292282,
+      "learning_rate": 8.330019880715706e-05,
+      "loss": 0.189,
+      "step": 420
+    },
+    {
+      "epoch": 0.7690587972278113,
+      "grad_norm": 0.06573337316513062,
+      "learning_rate": 8.263750828363155e-05,
+      "loss": 0.1921,
+      "step": 430
+    },
+    {
+      "epoch": 0.7869438855354348,
+      "grad_norm": 0.0807296559214592,
+      "learning_rate": 8.197481776010603e-05,
+      "loss": 0.1826,
+      "step": 440
+    },
+    {
+      "epoch": 0.8048289738430584,
+      "grad_norm": 0.07666200399398804,
+      "learning_rate": 8.131212723658052e-05,
+      "loss": 0.1835,
+      "step": 450
+    },
+    {
+      "epoch": 0.8048289738430584,
+      "eval_loss": 0.18313755095005035,
+      "eval_runtime": 340.1916,
+      "eval_samples_per_second": 5.844,
+      "eval_steps_per_second": 2.922,
+      "step": 450
+    },
+    {
+      "epoch": 0.8227140621506819,
+      "grad_norm": 0.09144561737775803,
+      "learning_rate": 8.064943671305501e-05,
+      "loss": 0.1813,
+      "step": 460
+    },
+    {
+      "epoch": 0.8405991504583054,
+      "grad_norm": 0.10572754591703415,
+      "learning_rate": 7.99867461895295e-05,
+      "loss": 0.1776,
+      "step": 470
+    },
+    {
+      "epoch": 0.8584842387659289,
+      "grad_norm": 0.08453221619129181,
+      "learning_rate": 7.932405566600398e-05,
+      "loss": 0.1809,
+      "step": 480
+    },
+    {
+      "epoch": 0.8763693270735524,
+      "grad_norm": 0.08854762464761734,
+      "learning_rate": 7.866136514247847e-05,
+      "loss": 0.176,
+      "step": 490
+    },
+    {
+      "epoch": 0.8942544153811759,
+      "grad_norm": 0.09418456256389618,
+      "learning_rate": 7.799867461895295e-05,
+      "loss": 0.1749,
+      "step": 500
+    },
+    {
+      "epoch": 0.8942544153811759,
+      "eval_loss": 0.17343606054782867,
+      "eval_runtime": 340.1945,
+      "eval_samples_per_second": 5.844,
+      "eval_steps_per_second": 2.922,
+      "step": 500
+    },
+    {
+      "epoch": 0.9121395036887995,
+      "grad_norm": 0.08916131407022476,
+      "learning_rate": 7.733598409542744e-05,
+      "loss": 0.1705,
+      "step": 510
+    },
+    {
+      "epoch": 0.930024591996423,
+      "grad_norm": 0.09915047138929367,
+      "learning_rate": 7.667329357190193e-05,
+      "loss": 0.166,
+      "step": 520
+    },
+    {
+      "epoch": 0.9479096803040465,
+      "grad_norm": 0.09700702130794525,
+      "learning_rate": 7.601060304837641e-05,
+      "loss": 0.1675,
+      "step": 530
+    },
+    {
+      "epoch": 0.96579476861167,
+      "grad_norm": 0.13390330970287323,
+      "learning_rate": 7.53479125248509e-05,
+      "loss": 0.1685,
+      "step": 540
+    },
+    {
+      "epoch": 0.9836798569192935,
+      "grad_norm": 0.10853017121553421,
+      "learning_rate": 7.468522200132538e-05,
+      "loss": 0.1682,
+      "step": 550
+    },
+    {
+      "epoch": 0.9836798569192935,
+      "eval_loss": 0.16290181875228882,
+      "eval_runtime": 340.1443,
+      "eval_samples_per_second": 5.845,
+      "eval_steps_per_second": 2.922,
+      "step": 550
+    },
+    {
+      "epoch": 1.001564945226917,
+      "grad_norm": 0.11536076664924622,
+      "learning_rate": 7.402253147779987e-05,
+      "loss": 0.1601,
+      "step": 560
+    },
+    {
+      "epoch": 1.0194500335345407,
+      "grad_norm": 0.13258640468120575,
+      "learning_rate": 7.335984095427436e-05,
+      "loss": 0.1572,
+      "step": 570
+    },
+    {
+      "epoch": 1.037335121842164,
+      "grad_norm": 0.12075567245483398,
+      "learning_rate": 7.269715043074884e-05,
+      "loss": 0.1502,
+      "step": 580
+    },
+    {
+      "epoch": 1.0552202101497876,
+      "grad_norm": 0.1262330263853073,
+      "learning_rate": 7.203445990722333e-05,
+      "loss": 0.1507,
+      "step": 590
+    },
+    {
+      "epoch": 1.0731052984574112,
+      "grad_norm": 0.13084138929843903,
+      "learning_rate": 7.137176938369782e-05,
+      "loss": 0.1507,
+      "step": 600
+    },
+    {
+      "epoch": 1.0731052984574112,
+      "eval_loss": 0.15283866226673126,
+      "eval_runtime": 340.005,
+      "eval_samples_per_second": 5.847,
+      "eval_steps_per_second": 2.923,
+      "step": 600
+    },
+    {
+      "epoch": 1.0909903867650346,
+      "grad_norm": 0.13570532202720642,
+      "learning_rate": 7.07090788601723e-05,
+      "loss": 0.1476,
+      "step": 610
+    },
+    {
+      "epoch": 1.1088754750726582,
+      "grad_norm": 0.12759168446063995,
+      "learning_rate": 7.004638833664679e-05,
+      "loss": 0.1455,
+      "step": 620
+    },
+    {
+      "epoch": 1.1267605633802817,
+      "grad_norm": 0.15715628862380981,
+      "learning_rate": 6.938369781312127e-05,
+      "loss": 0.1465,
+      "step": 630
+    },
+    {
+      "epoch": 1.144645651687905,
+      "grad_norm": 0.15863963961601257,
+      "learning_rate": 6.872100728959576e-05,
+      "loss": 0.1375,
+      "step": 640
+    },
+    {
+      "epoch": 1.1625307399955287,
+      "grad_norm": 0.14566145837306976,
+      "learning_rate": 6.805831676607025e-05,
+      "loss": 0.1378,
+      "step": 650
+    },
+    {
+      "epoch": 1.1625307399955287,
+      "eval_loss": 0.14257138967514038,
+      "eval_runtime": 340.2975,
+      "eval_samples_per_second": 5.842,
+      "eval_steps_per_second": 2.921,
+      "step": 650
+    },
+    {
+      "epoch": 1.1804158283031523,
+      "grad_norm": 0.14659343659877777,
+      "learning_rate": 6.739562624254473e-05,
+      "loss": 0.1389,
+      "step": 660
+    },
+    {
+      "epoch": 1.1983009166107759,
+      "grad_norm": 0.1562536507844925,
+      "learning_rate": 6.673293571901922e-05,
+      "loss": 0.1368,
+      "step": 670
+    },
+    {
+      "epoch": 1.2161860049183992,
+      "grad_norm": 0.16155236959457397,
+      "learning_rate": 6.60702451954937e-05,
+      "loss": 0.1367,
+      "step": 680
+    },
+    {
+      "epoch": 1.2340710932260228,
+      "grad_norm": 0.15700899064540863,
+      "learning_rate": 6.540755467196819e-05,
+      "loss": 0.133,
+      "step": 690
+    },
+    {
+      "epoch": 1.2519561815336462,
+      "grad_norm": 0.14563362300395966,
+      "learning_rate": 6.474486414844268e-05,
+      "loss": 0.1304,
+      "step": 700
+    },
+    {
+      "epoch": 1.2519561815336462,
+      "eval_loss": 0.1325962394475937,
+      "eval_runtime": 340.3546,
+      "eval_samples_per_second": 5.841,
+      "eval_steps_per_second": 2.92,
+      "step": 700
+    },
+    {
+      "epoch": 1.2698412698412698,
+      "grad_norm": 0.15527787804603577,
+      "learning_rate": 6.408217362491717e-05,
+      "loss": 0.1309,
+      "step": 710
+    },
+    {
+      "epoch": 1.2877263581488934,
+      "grad_norm": 0.17507752776145935,
+      "learning_rate": 6.341948310139165e-05,
+      "loss": 0.1276,
+      "step": 720
+    },
+    {
+      "epoch": 1.305611446456517,
+      "grad_norm": 0.18257690966129303,
+      "learning_rate": 6.275679257786614e-05,
+      "loss": 0.1294,
+      "step": 730
+    },
+    {
+      "epoch": 1.3234965347641405,
+      "grad_norm": 0.1934031993150711,
+      "learning_rate": 6.209410205434062e-05,
+      "loss": 0.1236,
+      "step": 740
+    },
+    {
+      "epoch": 1.341381623071764,
+      "grad_norm": 0.1760103851556778,
+      "learning_rate": 6.143141153081511e-05,
+      "loss": 0.122,
+      "step": 750
+    },
+    {
+      "epoch": 1.341381623071764,
+      "eval_loss": 0.12294474244117737,
+      "eval_runtime": 340.3675,
+      "eval_samples_per_second": 5.841,
+      "eval_steps_per_second": 2.92,
+      "step": 750
+    },
+    {
+      "epoch": 1.3592667113793875,
+      "grad_norm": 0.18259243667125702,
+      "learning_rate": 6.0768721007289597e-05,
+      "loss": 0.1191,
+      "step": 760
+    },
+    {
+      "epoch": 1.3771517996870108,
+      "grad_norm": 0.19982369244098663,
+      "learning_rate": 6.010603048376409e-05,
+      "loss": 0.1179,
+      "step": 770
+    },
+    {
+      "epoch": 1.3950368879946344,
+      "grad_norm": 0.19513551890850067,
+      "learning_rate": 5.9443339960238576e-05,
+      "loss": 0.1136,
+      "step": 780
+    },
+    {
+      "epoch": 1.412921976302258,
+      "grad_norm": 0.20091329514980316,
+      "learning_rate": 5.8780649436713056e-05,
+      "loss": 0.1151,
+      "step": 790
+    },
+    {
+      "epoch": 1.4308070646098816,
+      "grad_norm": 0.17873592674732208,
+      "learning_rate": 5.811795891318754e-05,
+      "loss": 0.1133,
+      "step": 800
+    },
+    {
+      "epoch": 1.4308070646098816,
+      "eval_loss": 0.11276984959840775,
+      "eval_runtime": 340.2802,
+      "eval_samples_per_second": 5.842,
+      "eval_steps_per_second": 2.921,
+      "step": 800
+    },
+    {
+      "epoch": 1.448692152917505,
+      "grad_norm": 0.1767304390668869,
+      "learning_rate": 5.745526838966203e-05,
+      "loss": 0.1113,
+      "step": 810
+    },
+    {
+      "epoch": 1.4665772412251286,
+      "grad_norm": 0.19418853521347046,
+      "learning_rate": 5.679257786613652e-05,
+      "loss": 0.1062,
+      "step": 820
+    },
+    {
+      "epoch": 1.4844623295327521,
+      "grad_norm": 0.18987976014614105,
+      "learning_rate": 5.6129887342611e-05,
+      "loss": 0.1067,
+      "step": 830
+    },
+    {
+      "epoch": 1.5023474178403755,
+      "grad_norm": 0.19089455902576447,
+      "learning_rate": 5.546719681908549e-05,
+      "loss": 0.1059,
+      "step": 840
+    },
+    {
+      "epoch": 1.520232506147999,
+      "grad_norm": 0.2054363191127777,
+      "learning_rate": 5.480450629555997e-05,
+      "loss": 0.1052,
+      "step": 850
+    },
+    {
+      "epoch": 1.520232506147999,
+      "eval_loss": 0.10367103666067123,
+      "eval_runtime": 340.2498,
+      "eval_samples_per_second": 5.843,
+      "eval_steps_per_second": 2.921,
+      "step": 850
+    },
+    {
+      "epoch": 1.5381175944556227,
+      "grad_norm": 0.2290847897529602,
+      "learning_rate": 5.4141815772034466e-05,
+      "loss": 0.0994,
+      "step": 860
+    },
+    {
+      "epoch": 1.5560026827632463,
+      "grad_norm": 0.20180433988571167,
+      "learning_rate": 5.3479125248508946e-05,
+      "loss": 0.1002,
+      "step": 870
+    },
+    {
+      "epoch": 1.5738877710708696,
+      "grad_norm": 0.2535998225212097,
+      "learning_rate": 5.281643472498343e-05,
+      "loss": 0.0962,
+      "step": 880
+    },
+    {
+      "epoch": 1.5917728593784932,
+      "grad_norm": 0.2272896021604538,
+      "learning_rate": 5.215374420145792e-05,
+      "loss": 0.0937,
+      "step": 890
+    },
+    {
+      "epoch": 1.6096579476861166,
+      "grad_norm": 0.2379264086484909,
+      "learning_rate": 5.149105367793241e-05,
+      "loss": 0.0984,
+      "step": 900
+    },
+    {
+      "epoch": 1.6096579476861166,
+      "eval_loss": 0.09358672797679901,
+      "eval_runtime": 340.1031,
+      "eval_samples_per_second": 5.845,
+      "eval_steps_per_second": 2.923,
+      "step": 900
+    },
+    {
+      "epoch": 1.6275430359937402,
+      "grad_norm": 0.20866374671459198,
+      "learning_rate": 5.08283631544069e-05,
+      "loss": 0.092,
+      "step": 910
+    },
+    {
+      "epoch": 1.6454281243013638,
+      "grad_norm": 0.23577432334423065,
+      "learning_rate": 5.016567263088138e-05,
+      "loss": 0.0921,
+      "step": 920
+    },
+    {
+      "epoch": 1.6633132126089873,
+      "grad_norm": 0.22456888854503632,
+      "learning_rate": 4.9502982107355864e-05,
+      "loss": 0.0888,
+      "step": 930
+    },
+    {
+      "epoch": 1.681198300916611,
+      "grad_norm": 0.2216615080833435,
+      "learning_rate": 4.884029158383036e-05,
+      "loss": 0.0874,
+      "step": 940
+    },
+    {
+      "epoch": 1.6990833892242343,
+      "grad_norm": 0.23125343024730682,
+      "learning_rate": 4.8177601060304836e-05,
+      "loss": 0.0842,
+      "step": 950
+    },
+    {
+      "epoch": 1.6990833892242343,
+      "eval_loss": 0.08562839031219482,
+      "eval_runtime": 339.6325,
+      "eval_samples_per_second": 5.853,
+      "eval_steps_per_second": 2.927,
+      "step": 950
+    },
+    {
+      "epoch": 1.7169684775318577,
+      "grad_norm": 0.22048653662204742,
+      "learning_rate": 4.751491053677933e-05,
+      "loss": 0.087,
+      "step": 960
+    },
+    {
+      "epoch": 1.7348535658394812,
+      "grad_norm": 0.23853205144405365,
+      "learning_rate": 4.685222001325381e-05,
+      "loss": 0.0789,
+      "step": 970
+    },
+    {
+      "epoch": 1.7527386541471048,
+      "grad_norm": 0.23902659118175507,
+      "learning_rate": 4.61895294897283e-05,
+      "loss": 0.0771,
+      "step": 980
+    },
+    {
+      "epoch": 1.7706237424547284,
+      "grad_norm": 0.2581934332847595,
+      "learning_rate": 4.552683896620278e-05,
+      "loss": 0.0782,
+      "step": 990
+    },
+    {
+      "epoch": 1.788508830762352,
+      "grad_norm": 0.23264268040657043,
+      "learning_rate": 4.4864148442677275e-05,
+      "loss": 0.0767,
+      "step": 1000
+    },
+    {
+      "epoch": 1.788508830762352,
+      "eval_loss": 0.07814358174800873,
+      "eval_runtime": 339.6457,
+      "eval_samples_per_second": 5.853,
+      "eval_steps_per_second": 2.927,
+      "step": 1000
+    },
+    {
+      "epoch": 1.8063939190699754,
+      "grad_norm": 0.24084162712097168,
+      "learning_rate": 4.4201457919151754e-05,
+      "loss": 0.0769,
+      "step": 1010
+    },
+    {
+      "epoch": 1.824279007377599,
+      "grad_norm": 0.2195880115032196,
+      "learning_rate": 4.353876739562625e-05,
+      "loss": 0.0728,
+      "step": 1020
+    },
+    {
+      "epoch": 1.8421640956852223,
+      "grad_norm": 0.2468288391828537,
+      "learning_rate": 4.287607687210073e-05,
+      "loss": 0.0728,
+      "step": 1030
+    },
+    {
+      "epoch": 1.860049183992846,
+      "grad_norm": 0.24828018248081207,
+      "learning_rate": 4.221338634857522e-05,
+      "loss": 0.0687,
+      "step": 1040
+    },
+    {
+      "epoch": 1.8779342723004695,
+      "grad_norm": 0.268644779920578,
+      "learning_rate": 4.15506958250497e-05,
+      "loss": 0.0719,
+      "step": 1050
+    },
+    {
+      "epoch": 1.8779342723004695,
+      "eval_loss": 0.0710950717329979,
+      "eval_runtime": 339.9856,
+      "eval_samples_per_second": 5.847,
+      "eval_steps_per_second": 2.924,
+      "step": 1050
+    },
+    {
+      "epoch": 1.895819360608093,
+      "grad_norm": 0.24735838174819946,
+      "learning_rate": 4.088800530152419e-05,
+      "loss": 0.0693,
+      "step": 1060
+    },
+    {
+      "epoch": 1.9137044489157167,
+      "grad_norm": 0.25096532702445984,
+      "learning_rate": 4.022531477799867e-05,
+      "loss": 0.0661,
+      "step": 1070
+    },
+    {
+      "epoch": 1.93158953722334,
+      "grad_norm": 0.24060727655887604,
+      "learning_rate": 3.9562624254473165e-05,
+      "loss": 0.0685,
+      "step": 1080
+    },
+    {
+      "epoch": 1.9494746255309634,
+      "grad_norm": 0.2727839946746826,
+      "learning_rate": 3.889993373094765e-05,
+      "loss": 0.065,
+      "step": 1090
+    },
+    {
+      "epoch": 1.967359713838587,
+      "grad_norm": 0.2706622779369354,
+      "learning_rate": 3.823724320742214e-05,
+      "loss": 0.0638,
+      "step": 1100
+    },
+    {
+      "epoch": 1.967359713838587,
+      "eval_loss": 0.06380178779363632,
+      "eval_runtime": 340.1501,
+      "eval_samples_per_second": 5.844,
+      "eval_steps_per_second": 2.922,
+      "step": 1100
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1677,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.657582010374291e+18,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50ddbb42cdd58fe42159d191ffb0852e1d60c0358c7d9d2308ef346f4ef5ed44
+size 5432