Upload folder using huggingface_hub

.gitattributes

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

README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen2.5-7B-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 0.14.0

adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "k_proj",
+    "gate_proj",
+    "q_proj",
+    "down_proj",
+    "up_proj",
+    "v_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 sha256:5d8ca80a073947260f9ac93811ced552169b66cfedbd91c93b62da22fd17bbda
+size 80792096

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:b5ea31f170d2b58435afd6df3542f9a419a1d2607090bed9f89be61f5787b9fc
+size 161810282

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ff264f99d31b522cc7e2a4eac9d38606d0c58a34c0adc74d71e0ca8b371dc36
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0193b2279377140ccb2fe545f8c3da791c63f888c036227dcaa76d0cc959d480
+size 1064

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

@@ -0,0 +1,208 @@
+{
+  "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",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

trainer_state.json

@@ -0,0 +1,453 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.113015284854099,
+  "eval_steps": 200,
+  "global_step": 600,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.018527095877721167,
+      "grad_norm": 5.348576545715332,
+      "learning_rate": 1.234567901234568e-06,
+      "loss": 1.7335,
+      "step": 10
+    },
+    {
+      "epoch": 0.037054191755442334,
+      "grad_norm": 5.819892883300781,
+      "learning_rate": 2.469135802469136e-06,
+      "loss": 1.7063,
+      "step": 20
+    },
+    {
+      "epoch": 0.0555812876331635,
+      "grad_norm": 2.0946009159088135,
+      "learning_rate": 3.7037037037037037e-06,
+      "loss": 1.5389,
+      "step": 30
+    },
+    {
+      "epoch": 0.07410838351088467,
+      "grad_norm": 6.124255657196045,
+      "learning_rate": 4.938271604938272e-06,
+      "loss": 1.9017,
+      "step": 40
+    },
+    {
+      "epoch": 0.09263547938860583,
+      "grad_norm": 4.986006736755371,
+      "learning_rate": 6.17283950617284e-06,
+      "loss": 1.4697,
+      "step": 50
+    },
+    {
+      "epoch": 0.111162575266327,
+      "grad_norm": 3.69557785987854,
+      "learning_rate": 7.4074074074074075e-06,
+      "loss": 1.2454,
+      "step": 60
+    },
+    {
+      "epoch": 0.12968967114404817,
+      "grad_norm": 4.338206768035889,
+      "learning_rate": 8.641975308641975e-06,
+      "loss": 1.2242,
+      "step": 70
+    },
+    {
+      "epoch": 0.14821676702176934,
+      "grad_norm": 2.3303167819976807,
+      "learning_rate": 9.876543209876543e-06,
+      "loss": 0.7272,
+      "step": 80
+    },
+    {
+      "epoch": 0.1667438628994905,
+      "grad_norm": 2.708115339279175,
+      "learning_rate": 1.1111111111111113e-05,
+      "loss": 0.5907,
+      "step": 90
+    },
+    {
+      "epoch": 0.18527095877721167,
+      "grad_norm": 1.4415699243545532,
+      "learning_rate": 1.234567901234568e-05,
+      "loss": 0.6154,
+      "step": 100
+    },
+    {
+      "epoch": 0.20379805465493284,
+      "grad_norm": 1.7580137252807617,
+      "learning_rate": 1.3580246913580248e-05,
+      "loss": 0.4568,
+      "step": 110
+    },
+    {
+      "epoch": 0.222325150532654,
+      "grad_norm": 2.5971596240997314,
+      "learning_rate": 1.4814814814814815e-05,
+      "loss": 0.4862,
+      "step": 120
+    },
+    {
+      "epoch": 0.24085224641037517,
+      "grad_norm": 1.3559226989746094,
+      "learning_rate": 1.6049382716049385e-05,
+      "loss": 0.4366,
+      "step": 130
+    },
+    {
+      "epoch": 0.25937934228809634,
+      "grad_norm": 0.6591945290565491,
+      "learning_rate": 1.728395061728395e-05,
+      "loss": 0.3757,
+      "step": 140
+    },
+    {
+      "epoch": 0.2779064381658175,
+      "grad_norm": 2.574704170227051,
+      "learning_rate": 1.851851851851852e-05,
+      "loss": 0.4693,
+      "step": 150
+    },
+    {
+      "epoch": 0.29643353404353867,
+      "grad_norm": 3.002263307571411,
+      "learning_rate": 1.9753086419753087e-05,
+      "loss": 0.4896,
+      "step": 160
+    },
+    {
+      "epoch": 0.31496062992125984,
+      "grad_norm": 3.431332588195801,
+      "learning_rate": 1.999850819197622e-05,
+      "loss": 0.4864,
+      "step": 170
+    },
+    {
+      "epoch": 0.333487725798981,
+      "grad_norm": 1.1350328922271729,
+      "learning_rate": 1.99924484847108e-05,
+      "loss": 0.3713,
+      "step": 180
+    },
+    {
+      "epoch": 0.35201482167670217,
+      "grad_norm": 1.6894770860671997,
+      "learning_rate": 1.9981730462964303e-05,
+      "loss": 0.4814,
+      "step": 190
+    },
+    {
+      "epoch": 0.37054191755442334,
+      "grad_norm": 1.3769453763961792,
+      "learning_rate": 1.9966359123301492e-05,
+      "loss": 0.4288,
+      "step": 200
+    },
+    {
+      "epoch": 0.3890690134321445,
+      "grad_norm": 1.1856595277786255,
+      "learning_rate": 1.9946341631587086e-05,
+      "loss": 0.4447,
+      "step": 210
+    },
+    {
+      "epoch": 0.4075961093098657,
+      "grad_norm": 1.7599550485610962,
+      "learning_rate": 1.9921687319645183e-05,
+      "loss": 0.349,
+      "step": 220
+    },
+    {
+      "epoch": 0.42612320518758684,
+      "grad_norm": 1.5848398208618164,
+      "learning_rate": 1.9892407680908904e-05,
+      "loss": 0.396,
+      "step": 230
+    },
+    {
+      "epoch": 0.444650301065308,
+      "grad_norm": 1.9259053468704224,
+      "learning_rate": 1.9858516365062334e-05,
+      "loss": 0.3352,
+      "step": 240
+    },
+    {
+      "epoch": 0.4631773969430292,
+      "grad_norm": 1.4261807203292847,
+      "learning_rate": 1.9820029171677288e-05,
+      "loss": 0.3511,
+      "step": 250
+    },
+    {
+      "epoch": 0.48170449282075034,
+      "grad_norm": 1.699010968208313,
+      "learning_rate": 1.977696404284779e-05,
+      "loss": 0.4073,
+      "step": 260
+    },
+    {
+      "epoch": 0.5002315886984715,
+      "grad_norm": 1.3403549194335938,
+      "learning_rate": 1.9729341054825783e-05,
+      "loss": 0.4454,
+      "step": 270
+    },
+    {
+      "epoch": 0.5187586845761927,
+      "grad_norm": 1.2229658365249634,
+      "learning_rate": 1.9677182408661894e-05,
+      "loss": 0.4352,
+      "step": 280
+    },
+    {
+      "epoch": 0.5372857804539138,
+      "grad_norm": 2.2487080097198486,
+      "learning_rate": 1.9620512419855684e-05,
+      "loss": 0.392,
+      "step": 290
+    },
+    {
+      "epoch": 0.555812876331635,
+      "grad_norm": 2.6429977416992188,
+      "learning_rate": 1.9559357507020163e-05,
+      "loss": 0.4013,
+      "step": 300
+    },
+    {
+      "epoch": 0.5743399722093562,
+      "grad_norm": 2.240354061126709,
+      "learning_rate": 1.9493746179565854e-05,
+      "loss": 0.4111,
+      "step": 310
+    },
+    {
+      "epoch": 0.5928670680870773,
+      "grad_norm": 1.2388675212860107,
+      "learning_rate": 1.94237090244102e-05,
+      "loss": 0.3653,
+      "step": 320
+    },
+    {
+      "epoch": 0.6113941639647985,
+      "grad_norm": 2.2535054683685303,
+      "learning_rate": 1.9349278691718426e-05,
+      "loss": 0.3956,
+      "step": 330
+    },
+    {
+      "epoch": 0.6299212598425197,
+      "grad_norm": 2.5032520294189453,
+      "learning_rate": 1.9270489879682592e-05,
+      "loss": 0.3697,
+      "step": 340
+    },
+    {
+      "epoch": 0.6484483557202408,
+      "grad_norm": 2.4367105960845947,
+      "learning_rate": 1.9187379318345845e-05,
+      "loss": 0.4188,
+      "step": 350
+    },
+    {
+      "epoch": 0.666975451597962,
+      "grad_norm": 2.6159491539001465,
+      "learning_rate": 1.9099985752479505e-05,
+      "loss": 0.4415,
+      "step": 360
+    },
+    {
+      "epoch": 0.6855025474756832,
+      "grad_norm": 1.8182092905044556,
+      "learning_rate": 1.900834992352087e-05,
+      "loss": 0.3273,
+      "step": 370
+    },
+    {
+      "epoch": 0.7040296433534043,
+      "grad_norm": 3.406963348388672,
+      "learning_rate": 1.8912514550580242e-05,
+      "loss": 0.4069,
+      "step": 380
+    },
+    {
+      "epoch": 0.7225567392311255,
+      "grad_norm": 1.886953353881836,
+      "learning_rate": 1.881252431052599e-05,
+      "loss": 0.3452,
+      "step": 390
+    },
+    {
+      "epoch": 0.7410838351088467,
+      "grad_norm": 2.346081018447876,
+      "learning_rate": 1.870842581715691e-05,
+      "loss": 0.2954,
+      "step": 400
+    },
+    {
+      "epoch": 0.7596109309865678,
+      "grad_norm": 1.7905707359313965,
+      "learning_rate": 1.8600267599471663e-05,
+      "loss": 0.344,
+      "step": 410
+    },
+    {
+      "epoch": 0.778138026864289,
+      "grad_norm": 1.5074595212936401,
+      "learning_rate": 1.8488100079045345e-05,
+      "loss": 0.4834,
+      "step": 420
+    },
+    {
+      "epoch": 0.7966651227420102,
+      "grad_norm": 2.0368354320526123,
+      "learning_rate": 1.8371975546523795e-05,
+      "loss": 0.4263,
+      "step": 430
+    },
+    {
+      "epoch": 0.8151922186197313,
+      "grad_norm": 2.4880967140197754,
+      "learning_rate": 1.825194813724654e-05,
+      "loss": 0.2868,
+      "step": 440
+    },
+    {
+      "epoch": 0.8337193144974525,
+      "grad_norm": 1.4323982000350952,
+      "learning_rate": 1.81280738060098e-05,
+      "loss": 0.3404,
+      "step": 450
+    },
+    {
+      "epoch": 0.8522464103751737,
+      "grad_norm": 1.955913782119751,
+      "learning_rate": 1.8000410300981305e-05,
+      "loss": 0.329,
+      "step": 460
+    },
+    {
+      "epoch": 0.8707735062528948,
+      "grad_norm": 2.0698235034942627,
+      "learning_rate": 1.786901713677902e-05,
+      "loss": 0.3959,
+      "step": 470
+    },
+    {
+      "epoch": 0.889300602130616,
+      "grad_norm": 2.9616572856903076,
+      "learning_rate": 1.7733955566726438e-05,
+      "loss": 0.3973,
+      "step": 480
+    },
+    {
+      "epoch": 0.9078276980083372,
+      "grad_norm": 3.0657591819763184,
+      "learning_rate": 1.7595288554297295e-05,
+      "loss": 0.4035,
+      "step": 490
+    },
+    {
+      "epoch": 0.9263547938860583,
+      "grad_norm": 1.5825896263122559,
+      "learning_rate": 1.7453080743763e-05,
+      "loss": 0.3797,
+      "step": 500
+    },
+    {
+      "epoch": 0.9448818897637795,
+      "grad_norm": 1.8893063068389893,
+      "learning_rate": 1.7307398430056595e-05,
+      "loss": 0.2627,
+      "step": 510
+    },
+    {
+      "epoch": 0.9634089856415007,
+      "grad_norm": 1.5115277767181396,
+      "learning_rate": 1.7158309527867117e-05,
+      "loss": 0.281,
+      "step": 520
+    },
+    {
+      "epoch": 0.9819360815192218,
+      "grad_norm": 4.204952239990234,
+      "learning_rate": 1.700588353997891e-05,
+      "loss": 0.4839,
+      "step": 530
+    },
+    {
+      "epoch": 1.001852709587772,
+      "grad_norm": 3.4891834259033203,
+      "learning_rate": 1.6850191524870548e-05,
+      "loss": 0.4232,
+      "step": 540
+    },
+    {
+      "epoch": 1.0203798054654933,
+      "grad_norm": 2.1796462535858154,
+      "learning_rate": 1.6691306063588583e-05,
+      "loss": 0.3583,
+      "step": 550
+    },
+    {
+      "epoch": 1.0389069013432144,
+      "grad_norm": 1.7773243188858032,
+      "learning_rate": 1.6529301225911433e-05,
+      "loss": 0.3135,
+      "step": 560
+    },
+    {
+      "epoch": 1.0574339972209357,
+      "grad_norm": 1.6911367177963257,
+      "learning_rate": 1.6364252535819284e-05,
+      "loss": 0.2577,
+      "step": 570
+    },
+    {
+      "epoch": 1.0759610930986567,
+      "grad_norm": 1.934979796409607,
+      "learning_rate": 1.619623693628605e-05,
+      "loss": 0.2957,
+      "step": 580
+    },
+    {
+      "epoch": 1.094488188976378,
+      "grad_norm": 2.352208137512207,
+      "learning_rate": 1.602533275340984e-05,
+      "loss": 0.3576,
+      "step": 590
+    },
+    {
+      "epoch": 1.113015284854099,
+      "grad_norm": 1.4006640911102295,
+      "learning_rate": 1.5851619659898623e-05,
+      "loss": 0.3574,
+      "step": 600
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1617,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "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": 3.3080296690801705e+18,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6ac939c872e753ea5d6ba7cfd744c44286eaf302c2213f8aac9d407bc8b8e86
+size 5624