Training in progress, step 600, checkpoint

checkpoint-600/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/qwen2.5-coder-3b-instruct-bnb-4bit
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.14.0

checkpoint-600/adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/qwen2.5-coder-3b-instruct-bnb-4bit",
+  "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": 16,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "down_proj",
+    "up_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-600/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ab99fe31090a6b95de8fd6f683f2ca33b053010eb0b84e92b9c7f6178dc41cd
+size 119801528

checkpoint-600/added_tokens.json

@@ -0,0 +1,25 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|PAD_TOKEN|>": 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-600/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e784e726695ae24dbc7fcb34ed2929fd1a11da63814d863628f07eb2547e4182
+size 61392692

checkpoint-600/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:203e9bfabd925cb4ec7129d24877156fcee87215187c35a867e358e56a9425a4
+size 14244

checkpoint-600/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a54fa0e9a2adc7a7948208ee1e10bfbb62d236ec93ab2f256bf8122d37411fbe
+size 1064

checkpoint-600/special_tokens_map.json

@@ -0,0 +1,16 @@
+{
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-600/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
+size 11422086

checkpoint-600/tokenizer_config.json

@@ -0,0 +1,197 @@
+{
+  "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": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": null,
+  "chat_template": "{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% else %}{% for message in messages %}{% if message['from'] == 'human' %}{{'<|im_start|>user\n' + message['value'] + '<|im_end|>\n'}}{% elif message['from'] == 'gpt' %}{{'<|im_start|>assistant\n' + message['value'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['value'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|PAD_TOKEN|>",
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

checkpoint-600/trainer_state.json

@@ -0,0 +1,453 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.1697560975609755,
+  "eval_steps": 500,
+  "global_step": 600,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01951219512195122,
+      "grad_norm": 0.14488260447978973,
+      "learning_rate": 0.00019934683213585893,
+      "loss": 0.6356,
+      "step": 10
+    },
+    {
+      "epoch": 0.03902439024390244,
+      "grad_norm": 0.1634250283241272,
+      "learning_rate": 0.00019804049640757677,
+      "loss": 0.4368,
+      "step": 20
+    },
+    {
+      "epoch": 0.05853658536585366,
+      "grad_norm": 0.1504327356815338,
+      "learning_rate": 0.0001967341606792946,
+      "loss": 0.407,
+      "step": 30
+    },
+    {
+      "epoch": 0.07804878048780488,
+      "grad_norm": 0.16282524168491364,
+      "learning_rate": 0.00019542782495101242,
+      "loss": 0.3788,
+      "step": 40
+    },
+    {
+      "epoch": 0.0975609756097561,
+      "grad_norm": 0.17505913972854614,
+      "learning_rate": 0.00019412148922273026,
+      "loss": 0.3705,
+      "step": 50
+    },
+    {
+      "epoch": 0.11707317073170732,
+      "grad_norm": 0.18271876871585846,
+      "learning_rate": 0.00019281515349444807,
+      "loss": 0.3654,
+      "step": 60
+    },
+    {
+      "epoch": 0.13658536585365855,
+      "grad_norm": 0.1547907590866089,
+      "learning_rate": 0.0001915088177661659,
+      "loss": 0.3845,
+      "step": 70
+    },
+    {
+      "epoch": 0.15609756097560976,
+      "grad_norm": 0.1806977242231369,
+      "learning_rate": 0.00019020248203788375,
+      "loss": 0.362,
+      "step": 80
+    },
+    {
+      "epoch": 0.17560975609756097,
+      "grad_norm": 0.16502083837985992,
+      "learning_rate": 0.00018889614630960156,
+      "loss": 0.3436,
+      "step": 90
+    },
+    {
+      "epoch": 0.1951219512195122,
+      "grad_norm": 0.15947739779949188,
+      "learning_rate": 0.0001875898105813194,
+      "loss": 0.3221,
+      "step": 100
+    },
+    {
+      "epoch": 0.2146341463414634,
+      "grad_norm": 0.16028478741645813,
+      "learning_rate": 0.00018628347485303724,
+      "loss": 0.3291,
+      "step": 110
+    },
+    {
+      "epoch": 0.23414634146341465,
+      "grad_norm": 0.16755621135234833,
+      "learning_rate": 0.00018497713912475508,
+      "loss": 0.3454,
+      "step": 120
+    },
+    {
+      "epoch": 0.25365853658536586,
+      "grad_norm": 0.17687192559242249,
+      "learning_rate": 0.00018367080339647292,
+      "loss": 0.3265,
+      "step": 130
+    },
+    {
+      "epoch": 0.2731707317073171,
+      "grad_norm": 0.12853658199310303,
+      "learning_rate": 0.00018236446766819073,
+      "loss": 0.3136,
+      "step": 140
+    },
+    {
+      "epoch": 0.2926829268292683,
+      "grad_norm": 0.15641653537750244,
+      "learning_rate": 0.00018105813193990857,
+      "loss": 0.3124,
+      "step": 150
+    },
+    {
+      "epoch": 0.3121951219512195,
+      "grad_norm": 0.1840222179889679,
+      "learning_rate": 0.00017975179621162638,
+      "loss": 0.3308,
+      "step": 160
+    },
+    {
+      "epoch": 0.33170731707317075,
+      "grad_norm": 0.16983111202716827,
+      "learning_rate": 0.00017844546048334422,
+      "loss": 0.3116,
+      "step": 170
+    },
+    {
+      "epoch": 0.35121951219512193,
+      "grad_norm": 0.18679502606391907,
+      "learning_rate": 0.00017713912475506206,
+      "loss": 0.3458,
+      "step": 180
+    },
+    {
+      "epoch": 0.37073170731707317,
+      "grad_norm": 0.1655397266149521,
+      "learning_rate": 0.0001758327890267799,
+      "loss": 0.3041,
+      "step": 190
+    },
+    {
+      "epoch": 0.3902439024390244,
+      "grad_norm": 0.16899655759334564,
+      "learning_rate": 0.00017452645329849774,
+      "loss": 0.3179,
+      "step": 200
+    },
+    {
+      "epoch": 0.4097560975609756,
+      "grad_norm": 0.14320065081119537,
+      "learning_rate": 0.00017322011757021555,
+      "loss": 0.2896,
+      "step": 210
+    },
+    {
+      "epoch": 0.4292682926829268,
+      "grad_norm": 0.18079160153865814,
+      "learning_rate": 0.0001719137818419334,
+      "loss": 0.3121,
+      "step": 220
+    },
+    {
+      "epoch": 0.44878048780487806,
+      "grad_norm": 0.15252567827701569,
+      "learning_rate": 0.00017060744611365123,
+      "loss": 0.3054,
+      "step": 230
+    },
+    {
+      "epoch": 0.4682926829268293,
+      "grad_norm": 0.1688212901353836,
+      "learning_rate": 0.00016930111038536904,
+      "loss": 0.316,
+      "step": 240
+    },
+    {
+      "epoch": 0.4878048780487805,
+      "grad_norm": 0.1604667603969574,
+      "learning_rate": 0.00016799477465708688,
+      "loss": 0.3174,
+      "step": 250
+    },
+    {
+      "epoch": 0.5073170731707317,
+      "grad_norm": 0.19493722915649414,
+      "learning_rate": 0.0001666884389288047,
+      "loss": 0.307,
+      "step": 260
+    },
+    {
+      "epoch": 0.526829268292683,
+      "grad_norm": 0.13511119782924652,
+      "learning_rate": 0.00016538210320052253,
+      "loss": 0.2918,
+      "step": 270
+    },
+    {
+      "epoch": 0.5463414634146342,
+      "grad_norm": 0.1683417409658432,
+      "learning_rate": 0.00016407576747224037,
+      "loss": 0.2704,
+      "step": 280
+    },
+    {
+      "epoch": 0.5658536585365853,
+      "grad_norm": 0.16002771258354187,
+      "learning_rate": 0.0001627694317439582,
+      "loss": 0.3401,
+      "step": 290
+    },
+    {
+      "epoch": 0.5853658536585366,
+      "grad_norm": 0.1851789504289627,
+      "learning_rate": 0.00016146309601567605,
+      "loss": 0.3134,
+      "step": 300
+    },
+    {
+      "epoch": 0.6048780487804878,
+      "grad_norm": 0.18187113106250763,
+      "learning_rate": 0.00016015676028739386,
+      "loss": 0.2732,
+      "step": 310
+    },
+    {
+      "epoch": 0.624390243902439,
+      "grad_norm": 0.13298119604587555,
+      "learning_rate": 0.0001588504245591117,
+      "loss": 0.3317,
+      "step": 320
+    },
+    {
+      "epoch": 0.6439024390243903,
+      "grad_norm": 0.17413659393787384,
+      "learning_rate": 0.00015754408883082954,
+      "loss": 0.3176,
+      "step": 330
+    },
+    {
+      "epoch": 0.6634146341463415,
+      "grad_norm": 0.17591014504432678,
+      "learning_rate": 0.00015623775310254735,
+      "loss": 0.3074,
+      "step": 340
+    },
+    {
+      "epoch": 0.6829268292682927,
+      "grad_norm": 0.17484629154205322,
+      "learning_rate": 0.0001549314173742652,
+      "loss": 0.3033,
+      "step": 350
+    },
+    {
+      "epoch": 0.7024390243902439,
+      "grad_norm": 0.17957189679145813,
+      "learning_rate": 0.000153625081645983,
+      "loss": 0.2995,
+      "step": 360
+    },
+    {
+      "epoch": 0.7219512195121951,
+      "grad_norm": 0.1616777628660202,
+      "learning_rate": 0.00015231874591770084,
+      "loss": 0.2955,
+      "step": 370
+    },
+    {
+      "epoch": 0.7414634146341463,
+      "grad_norm": 0.165989488363266,
+      "learning_rate": 0.00015101241018941868,
+      "loss": 0.278,
+      "step": 380
+    },
+    {
+      "epoch": 0.7609756097560976,
+      "grad_norm": 0.15299169719219208,
+      "learning_rate": 0.00014970607446113652,
+      "loss": 0.2877,
+      "step": 390
+    },
+    {
+      "epoch": 0.7804878048780488,
+      "grad_norm": 0.17317935824394226,
+      "learning_rate": 0.00014839973873285436,
+      "loss": 0.2888,
+      "step": 400
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 0.17615154385566711,
+      "learning_rate": 0.00014709340300457217,
+      "loss": 0.298,
+      "step": 410
+    },
+    {
+      "epoch": 0.8195121951219512,
+      "grad_norm": 0.15918245911598206,
+      "learning_rate": 0.00014578706727629,
+      "loss": 0.3118,
+      "step": 420
+    },
+    {
+      "epoch": 0.8390243902439024,
+      "grad_norm": 0.1735045462846756,
+      "learning_rate": 0.00014448073154800785,
+      "loss": 0.2968,
+      "step": 430
+    },
+    {
+      "epoch": 0.8585365853658536,
+      "grad_norm": 0.16569170355796814,
+      "learning_rate": 0.00014317439581972566,
+      "loss": 0.2902,
+      "step": 440
+    },
+    {
+      "epoch": 0.8780487804878049,
+      "grad_norm": 0.14971968531608582,
+      "learning_rate": 0.0001418680600914435,
+      "loss": 0.2909,
+      "step": 450
+    },
+    {
+      "epoch": 0.8975609756097561,
+      "grad_norm": 0.17511232197284698,
+      "learning_rate": 0.00014056172436316132,
+      "loss": 0.2913,
+      "step": 460
+    },
+    {
+      "epoch": 0.9170731707317074,
+      "grad_norm": 0.1714879721403122,
+      "learning_rate": 0.00013925538863487918,
+      "loss": 0.3032,
+      "step": 470
+    },
+    {
+      "epoch": 0.9365853658536586,
+      "grad_norm": 0.15486101806163788,
+      "learning_rate": 0.00013794905290659702,
+      "loss": 0.2714,
+      "step": 480
+    },
+    {
+      "epoch": 0.9560975609756097,
+      "grad_norm": 0.1515657603740692,
+      "learning_rate": 0.00013664271717831483,
+      "loss": 0.2663,
+      "step": 490
+    },
+    {
+      "epoch": 0.975609756097561,
+      "grad_norm": 0.1795472502708435,
+      "learning_rate": 0.00013533638145003267,
+      "loss": 0.2761,
+      "step": 500
+    },
+    {
+      "epoch": 0.9951219512195122,
+      "grad_norm": 0.18285898864269257,
+      "learning_rate": 0.00013403004572175048,
+      "loss": 0.2709,
+      "step": 510
+    },
+    {
+      "epoch": 1.0136585365853659,
+      "grad_norm": 0.16601520776748657,
+      "learning_rate": 0.00013272370999346832,
+      "loss": 0.2678,
+      "step": 520
+    },
+    {
+      "epoch": 1.033170731707317,
+      "grad_norm": 0.16676375269889832,
+      "learning_rate": 0.00013141737426518616,
+      "loss": 0.2521,
+      "step": 530
+    },
+    {
+      "epoch": 1.0526829268292683,
+      "grad_norm": 0.1423233151435852,
+      "learning_rate": 0.00013011103853690398,
+      "loss": 0.243,
+      "step": 540
+    },
+    {
+      "epoch": 1.0721951219512196,
+      "grad_norm": 0.24877290427684784,
+      "learning_rate": 0.00012880470280862181,
+      "loss": 0.2348,
+      "step": 550
+    },
+    {
+      "epoch": 1.0917073170731708,
+      "grad_norm": 0.18094764649868011,
+      "learning_rate": 0.00012749836708033965,
+      "loss": 0.2349,
+      "step": 560
+    },
+    {
+      "epoch": 1.111219512195122,
+      "grad_norm": 0.1786268949508667,
+      "learning_rate": 0.0001261920313520575,
+      "loss": 0.2508,
+      "step": 570
+    },
+    {
+      "epoch": 1.1307317073170733,
+      "grad_norm": 0.21345548331737518,
+      "learning_rate": 0.00012488569562377533,
+      "loss": 0.277,
+      "step": 580
+    },
+    {
+      "epoch": 1.1502439024390243,
+      "grad_norm": 0.23655258119106293,
+      "learning_rate": 0.00012357935989549314,
+      "loss": 0.249,
+      "step": 590
+    },
+    {
+      "epoch": 1.1697560975609755,
+      "grad_norm": 0.1962760090827942,
+      "learning_rate": 0.00012227302416721098,
+      "loss": 0.2649,
+      "step": 600
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1536,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 20,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4.031806610844058e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-600/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9675dab0e4d27e256e260254efb7c8dd36469721448ea10de03da363b6ab830
+size 5624