Training in progress, step 75, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/Qwen2.5-3B-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

last-checkpoint/adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen2.5-3B-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": [
+    "up_proj",
+    "v_proj",
+    "down_proj",
+    "q_proj",
+    "k_proj",
+    "o_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:536a598cccf7c277f48a578690ee6b0884a89899934b2ecf3d511fd76038430e
+size 119801528

last-checkpoint/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
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:064ede513528c7ddbe98ca2be05ad93874fa3297161f664eb5495ed1e2adf7b6
+size 61392180

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:608fccb6c056ce88cdfd5355e6be2046f4d107a24a87c6b0d2c3b200ce6bb4ea
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85cdeb0b481601d79f9266be8fe9c69b33c8e9adb20757819e15c6e6b3b5822d
+size 1064

last-checkpoint/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": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.json

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

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,217 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "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\") %}            {{- '<|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": 32768,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,558 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.11911852293031566,
+  "eval_steps": 500,
+  "global_step": 75,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0015882469724042088,
+      "grad_norm": 0.9020900726318359,
+      "learning_rate": 8.000000000000001e-06,
+      "loss": 1.462,
+      "step": 1
+    },
+    {
+      "epoch": 0.0031764939448084176,
+      "grad_norm": 0.8714035749435425,
+      "learning_rate": 1.6000000000000003e-05,
+      "loss": 1.7768,
+      "step": 2
+    },
+    {
+      "epoch": 0.004764740917212627,
+      "grad_norm": 0.6246618032455444,
+      "learning_rate": 2.4e-05,
+      "loss": 1.4764,
+      "step": 3
+    },
+    {
+      "epoch": 0.006352987889616835,
+      "grad_norm": 0.6882991194725037,
+      "learning_rate": 3.2000000000000005e-05,
+      "loss": 1.3473,
+      "step": 4
+    },
+    {
+      "epoch": 0.007941234862021045,
+      "grad_norm": 0.7609978914260864,
+      "learning_rate": 4e-05,
+      "loss": 1.4786,
+      "step": 5
+    },
+    {
+      "epoch": 0.009529481834425254,
+      "grad_norm": 0.6454429030418396,
+      "learning_rate": 3.993589743589744e-05,
+      "loss": 1.5175,
+      "step": 6
+    },
+    {
+      "epoch": 0.011117728806829461,
+      "grad_norm": 0.5323919057846069,
+      "learning_rate": 3.9871794871794875e-05,
+      "loss": 1.5005,
+      "step": 7
+    },
+    {
+      "epoch": 0.01270597577923367,
+      "grad_norm": 0.49380961060523987,
+      "learning_rate": 3.9807692307692314e-05,
+      "loss": 1.393,
+      "step": 8
+    },
+    {
+      "epoch": 0.01429422275163788,
+      "grad_norm": 0.4742673337459564,
+      "learning_rate": 3.9743589743589747e-05,
+      "loss": 1.4615,
+      "step": 9
+    },
+    {
+      "epoch": 0.01588246972404209,
+      "grad_norm": 0.47878921031951904,
+      "learning_rate": 3.9679487179487186e-05,
+      "loss": 1.4317,
+      "step": 10
+    },
+    {
+      "epoch": 0.017470716696446297,
+      "grad_norm": 0.5705658197402954,
+      "learning_rate": 3.961538461538462e-05,
+      "loss": 1.4019,
+      "step": 11
+    },
+    {
+      "epoch": 0.019058963668850508,
+      "grad_norm": 0.4807969331741333,
+      "learning_rate": 3.955128205128206e-05,
+      "loss": 1.3456,
+      "step": 12
+    },
+    {
+      "epoch": 0.020647210641254715,
+      "grad_norm": 0.4449750781059265,
+      "learning_rate": 3.948717948717949e-05,
+      "loss": 1.2978,
+      "step": 13
+    },
+    {
+      "epoch": 0.022235457613658922,
+      "grad_norm": 0.42986753582954407,
+      "learning_rate": 3.942307692307693e-05,
+      "loss": 1.3485,
+      "step": 14
+    },
+    {
+      "epoch": 0.023823704586063133,
+      "grad_norm": 0.4529072344303131,
+      "learning_rate": 3.935897435897436e-05,
+      "loss": 1.1967,
+      "step": 15
+    },
+    {
+      "epoch": 0.02541195155846734,
+      "grad_norm": 0.36832889914512634,
+      "learning_rate": 3.9294871794871794e-05,
+      "loss": 1.4615,
+      "step": 16
+    },
+    {
+      "epoch": 0.02700019853087155,
+      "grad_norm": 0.36332887411117554,
+      "learning_rate": 3.923076923076923e-05,
+      "loss": 1.424,
+      "step": 17
+    },
+    {
+      "epoch": 0.02858844550327576,
+      "grad_norm": 0.3830856680870056,
+      "learning_rate": 3.9166666666666665e-05,
+      "loss": 1.3219,
+      "step": 18
+    },
+    {
+      "epoch": 0.03017669247567997,
+      "grad_norm": 0.34034624695777893,
+      "learning_rate": 3.9102564102564105e-05,
+      "loss": 1.3907,
+      "step": 19
+    },
+    {
+      "epoch": 0.03176493944808418,
+      "grad_norm": 0.5381081104278564,
+      "learning_rate": 3.9038461538461544e-05,
+      "loss": 1.166,
+      "step": 20
+    },
+    {
+      "epoch": 0.03335318642048839,
+      "grad_norm": 0.3757379651069641,
+      "learning_rate": 3.8974358974358976e-05,
+      "loss": 1.3848,
+      "step": 21
+    },
+    {
+      "epoch": 0.034941433392892594,
+      "grad_norm": 0.3074859082698822,
+      "learning_rate": 3.8910256410256416e-05,
+      "loss": 1.2964,
+      "step": 22
+    },
+    {
+      "epoch": 0.0365296803652968,
+      "grad_norm": 0.327610045671463,
+      "learning_rate": 3.884615384615385e-05,
+      "loss": 1.1818,
+      "step": 23
+    },
+    {
+      "epoch": 0.038117927337701016,
+      "grad_norm": 0.31075817346572876,
+      "learning_rate": 3.878205128205129e-05,
+      "loss": 1.1266,
+      "step": 24
+    },
+    {
+      "epoch": 0.03970617431010522,
+      "grad_norm": 0.3608109652996063,
+      "learning_rate": 3.871794871794872e-05,
+      "loss": 1.3268,
+      "step": 25
+    },
+    {
+      "epoch": 0.04129442128250943,
+      "grad_norm": 0.34548354148864746,
+      "learning_rate": 3.865384615384616e-05,
+      "loss": 1.4485,
+      "step": 26
+    },
+    {
+      "epoch": 0.04288266825491364,
+      "grad_norm": 0.3382280468940735,
+      "learning_rate": 3.858974358974359e-05,
+      "loss": 1.4231,
+      "step": 27
+    },
+    {
+      "epoch": 0.044470915227317845,
+      "grad_norm": 0.3258324861526489,
+      "learning_rate": 3.852564102564103e-05,
+      "loss": 1.2321,
+      "step": 28
+    },
+    {
+      "epoch": 0.04605916219972206,
+      "grad_norm": 0.390952467918396,
+      "learning_rate": 3.846153846153846e-05,
+      "loss": 1.3014,
+      "step": 29
+    },
+    {
+      "epoch": 0.047647409172126266,
+      "grad_norm": 0.34574779868125916,
+      "learning_rate": 3.83974358974359e-05,
+      "loss": 1.3385,
+      "step": 30
+    },
+    {
+      "epoch": 0.049235656144530474,
+      "grad_norm": 0.32823994755744934,
+      "learning_rate": 3.833333333333334e-05,
+      "loss": 1.2178,
+      "step": 31
+    },
+    {
+      "epoch": 0.05082390311693468,
+      "grad_norm": 0.4966191053390503,
+      "learning_rate": 3.8269230769230774e-05,
+      "loss": 1.3805,
+      "step": 32
+    },
+    {
+      "epoch": 0.052412150089338895,
+      "grad_norm": 0.3081677556037903,
+      "learning_rate": 3.820512820512821e-05,
+      "loss": 1.2109,
+      "step": 33
+    },
+    {
+      "epoch": 0.0540003970617431,
+      "grad_norm": 0.2919631600379944,
+      "learning_rate": 3.8141025641025645e-05,
+      "loss": 1.2596,
+      "step": 34
+    },
+    {
+      "epoch": 0.05558864403414731,
+      "grad_norm": 0.34928378462791443,
+      "learning_rate": 3.807692307692308e-05,
+      "loss": 1.3003,
+      "step": 35
+    },
+    {
+      "epoch": 0.05717689100655152,
+      "grad_norm": 0.32200536131858826,
+      "learning_rate": 3.801282051282052e-05,
+      "loss": 1.1992,
+      "step": 36
+    },
+    {
+      "epoch": 0.05876513797895573,
+      "grad_norm": 0.36465853452682495,
+      "learning_rate": 3.794871794871795e-05,
+      "loss": 1.3853,
+      "step": 37
+    },
+    {
+      "epoch": 0.06035338495135994,
+      "grad_norm": 0.36780843138694763,
+      "learning_rate": 3.788461538461539e-05,
+      "loss": 1.3488,
+      "step": 38
+    },
+    {
+      "epoch": 0.061941631923764146,
+      "grad_norm": 0.3747501075267792,
+      "learning_rate": 3.782051282051282e-05,
+      "loss": 1.2759,
+      "step": 39
+    },
+    {
+      "epoch": 0.06352987889616836,
+      "grad_norm": 0.4664352834224701,
+      "learning_rate": 3.775641025641026e-05,
+      "loss": 1.2444,
+      "step": 40
+    },
+    {
+      "epoch": 0.06511812586857256,
+      "grad_norm": 0.3714566230773926,
+      "learning_rate": 3.769230769230769e-05,
+      "loss": 1.3729,
+      "step": 41
+    },
+    {
+      "epoch": 0.06670637284097677,
+      "grad_norm": 0.35391151905059814,
+      "learning_rate": 3.762820512820513e-05,
+      "loss": 1.2871,
+      "step": 42
+    },
+    {
+      "epoch": 0.06829461981338097,
+      "grad_norm": 0.37723308801651,
+      "learning_rate": 3.7564102564102564e-05,
+      "loss": 1.3243,
+      "step": 43
+    },
+    {
+      "epoch": 0.06988286678578519,
+      "grad_norm": 0.3361778259277344,
+      "learning_rate": 3.7500000000000003e-05,
+      "loss": 1.1932,
+      "step": 44
+    },
+    {
+      "epoch": 0.0714711137581894,
+      "grad_norm": 0.31701332330703735,
+      "learning_rate": 3.7435897435897436e-05,
+      "loss": 1.3294,
+      "step": 45
+    },
+    {
+      "epoch": 0.0730593607305936,
+      "grad_norm": 0.3698272705078125,
+      "learning_rate": 3.7371794871794875e-05,
+      "loss": 1.2617,
+      "step": 46
+    },
+    {
+      "epoch": 0.07464760770299782,
+      "grad_norm": 0.34270384907722473,
+      "learning_rate": 3.7307692307692314e-05,
+      "loss": 1.3205,
+      "step": 47
+    },
+    {
+      "epoch": 0.07623585467540203,
+      "grad_norm": 0.31238165497779846,
+      "learning_rate": 3.724358974358975e-05,
+      "loss": 1.297,
+      "step": 48
+    },
+    {
+      "epoch": 0.07782410164780623,
+      "grad_norm": 0.3665103614330292,
+      "learning_rate": 3.7179487179487186e-05,
+      "loss": 1.3757,
+      "step": 49
+    },
+    {
+      "epoch": 0.07941234862021045,
+      "grad_norm": 0.36817964911460876,
+      "learning_rate": 3.711538461538462e-05,
+      "loss": 1.3225,
+      "step": 50
+    },
+    {
+      "epoch": 0.08100059559261465,
+      "grad_norm": 0.32568806409835815,
+      "learning_rate": 3.705128205128206e-05,
+      "loss": 1.1309,
+      "step": 51
+    },
+    {
+      "epoch": 0.08258884256501886,
+      "grad_norm": 0.2992149293422699,
+      "learning_rate": 3.698717948717949e-05,
+      "loss": 1.2399,
+      "step": 52
+    },
+    {
+      "epoch": 0.08417708953742307,
+      "grad_norm": 0.3493598401546478,
+      "learning_rate": 3.692307692307693e-05,
+      "loss": 1.2718,
+      "step": 53
+    },
+    {
+      "epoch": 0.08576533650982728,
+      "grad_norm": 0.38273313641548157,
+      "learning_rate": 3.685897435897436e-05,
+      "loss": 1.2875,
+      "step": 54
+    },
+    {
+      "epoch": 0.08735358348223149,
+      "grad_norm": 0.3631385266780853,
+      "learning_rate": 3.6794871794871794e-05,
+      "loss": 1.176,
+      "step": 55
+    },
+    {
+      "epoch": 0.08894183045463569,
+      "grad_norm": 0.33916208148002625,
+      "learning_rate": 3.673076923076923e-05,
+      "loss": 1.3624,
+      "step": 56
+    },
+    {
+      "epoch": 0.0905300774270399,
+      "grad_norm": 0.3310489058494568,
+      "learning_rate": 3.6666666666666666e-05,
+      "loss": 1.1639,
+      "step": 57
+    },
+    {
+      "epoch": 0.09211832439944412,
+      "grad_norm": 0.3602941930294037,
+      "learning_rate": 3.6602564102564105e-05,
+      "loss": 1.288,
+      "step": 58
+    },
+    {
+      "epoch": 0.09370657137184832,
+      "grad_norm": 0.39397984743118286,
+      "learning_rate": 3.653846153846154e-05,
+      "loss": 1.285,
+      "step": 59
+    },
+    {
+      "epoch": 0.09529481834425253,
+      "grad_norm": 0.3368014991283417,
+      "learning_rate": 3.6474358974358977e-05,
+      "loss": 1.2523,
+      "step": 60
+    },
+    {
+      "epoch": 0.09688306531665675,
+      "grad_norm": 0.32057568430900574,
+      "learning_rate": 3.6410256410256416e-05,
+      "loss": 1.0862,
+      "step": 61
+    },
+    {
+      "epoch": 0.09847131228906095,
+      "grad_norm": 0.409466028213501,
+      "learning_rate": 3.634615384615385e-05,
+      "loss": 1.4059,
+      "step": 62
+    },
+    {
+      "epoch": 0.10005955926146516,
+      "grad_norm": 0.3347267210483551,
+      "learning_rate": 3.628205128205129e-05,
+      "loss": 1.0021,
+      "step": 63
+    },
+    {
+      "epoch": 0.10164780623386936,
+      "grad_norm": 0.31896549463272095,
+      "learning_rate": 3.621794871794872e-05,
+      "loss": 1.1485,
+      "step": 64
+    },
+    {
+      "epoch": 0.10323605320627358,
+      "grad_norm": 0.3799891471862793,
+      "learning_rate": 3.615384615384616e-05,
+      "loss": 1.2916,
+      "step": 65
+    },
+    {
+      "epoch": 0.10482430017867779,
+      "grad_norm": 0.3329267203807831,
+      "learning_rate": 3.608974358974359e-05,
+      "loss": 1.3268,
+      "step": 66
+    },
+    {
+      "epoch": 0.10641254715108199,
+      "grad_norm": 0.4332905411720276,
+      "learning_rate": 3.602564102564103e-05,
+      "loss": 1.3233,
+      "step": 67
+    },
+    {
+      "epoch": 0.1080007941234862,
+      "grad_norm": 0.4160114824771881,
+      "learning_rate": 3.596153846153846e-05,
+      "loss": 1.154,
+      "step": 68
+    },
+    {
+      "epoch": 0.1095890410958904,
+      "grad_norm": 0.32984739542007446,
+      "learning_rate": 3.58974358974359e-05,
+      "loss": 1.1314,
+      "step": 69
+    },
+    {
+      "epoch": 0.11117728806829462,
+      "grad_norm": 0.3880075216293335,
+      "learning_rate": 3.5833333333333335e-05,
+      "loss": 1.3362,
+      "step": 70
+    },
+    {
+      "epoch": 0.11276553504069883,
+      "grad_norm": 0.33941248059272766,
+      "learning_rate": 3.5769230769230774e-05,
+      "loss": 1.2692,
+      "step": 71
+    },
+    {
+      "epoch": 0.11435378201310303,
+      "grad_norm": 0.3812304139137268,
+      "learning_rate": 3.570512820512821e-05,
+      "loss": 1.0389,
+      "step": 72
+    },
+    {
+      "epoch": 0.11594202898550725,
+      "grad_norm": 0.3491113483905792,
+      "learning_rate": 3.5641025641025646e-05,
+      "loss": 1.0725,
+      "step": 73
+    },
+    {
+      "epoch": 0.11753027595791146,
+      "grad_norm": 0.371980220079422,
+      "learning_rate": 3.557692307692308e-05,
+      "loss": 1.2572,
+      "step": 74
+    },
+    {
+      "epoch": 0.11911852293031566,
+      "grad_norm": 0.4158433675765991,
+      "learning_rate": 3.551282051282052e-05,
+      "loss": 1.3052,
+      "step": 75
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 629,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 75,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.333913864585216e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ef708cc8f6e539ea0aaf860ab00d790b9008d528690ba742543117655f7a6f0
+size 5624