Upload 14 files

.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: unsloth/Qwen2.5-3B-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

adapter_config.json

@@ -0,0 +1,40 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen2.5-3B-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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "embed_tokens",
+    "lm_head"
+  ],
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "up_proj",
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "gate_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1894c858225d01143c509f3d38dacb0bf68621407c9c6a9d10e6fa8abf8fb4e8
+size 3447263528

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
+}

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c9b2ad16efe850a3c1953eab7762c235feaae7b70912fd919d5545176fad87a
+size 1751122620

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4c917636c7a58af68a29056522a757e9f9b99005b776641aa157c536967817d
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b0e3be07f2ddf2c035815fdad5db539ba623c588ed1a2904332a7a2674ae64a
+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": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "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:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
+size 11422086

tokenizer_config.json

@@ -0,0 +1,216 @@
+{
+  "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,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "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
+}

trainer_state.json

@@ -0,0 +1,873 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.15748031496062992,
+  "eval_steps": 500,
+  "global_step": 120,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0013123359580052493,
+      "grad_norm": 2.3873534202575684,
+      "learning_rate": 5e-06,
+      "loss": 2.0092,
+      "step": 1
+    },
+    {
+      "epoch": 0.0026246719160104987,
+      "grad_norm": 2.7223856449127197,
+      "learning_rate": 1e-05,
+      "loss": 2.2132,
+      "step": 2
+    },
+    {
+      "epoch": 0.003937007874015748,
+      "grad_norm": 1.9315420389175415,
+      "learning_rate": 1.5e-05,
+      "loss": 1.9733,
+      "step": 3
+    },
+    {
+      "epoch": 0.005249343832020997,
+      "grad_norm": 2.3864612579345703,
+      "learning_rate": 2e-05,
+      "loss": 2.1109,
+      "step": 4
+    },
+    {
+      "epoch": 0.006561679790026247,
+      "grad_norm": 2.958733558654785,
+      "learning_rate": 2.5e-05,
+      "loss": 1.9878,
+      "step": 5
+    },
+    {
+      "epoch": 0.007874015748031496,
+      "grad_norm": 1.7133508920669556,
+      "learning_rate": 3e-05,
+      "loss": 2.0302,
+      "step": 6
+    },
+    {
+      "epoch": 0.009186351706036745,
+      "grad_norm": 3.248690366744995,
+      "learning_rate": 3.5e-05,
+      "loss": 1.8898,
+      "step": 7
+    },
+    {
+      "epoch": 0.010498687664041995,
+      "grad_norm": 2.4799916744232178,
+      "learning_rate": 4e-05,
+      "loss": 1.9307,
+      "step": 8
+    },
+    {
+      "epoch": 0.011811023622047244,
+      "grad_norm": 1.676323413848877,
+      "learning_rate": 4.5e-05,
+      "loss": 1.7378,
+      "step": 9
+    },
+    {
+      "epoch": 0.013123359580052493,
+      "grad_norm": 2.3488361835479736,
+      "learning_rate": 5e-05,
+      "loss": 1.6053,
+      "step": 10
+    },
+    {
+      "epoch": 0.014435695538057743,
+      "grad_norm": 1.7687658071517944,
+      "learning_rate": 4.9545454545454553e-05,
+      "loss": 1.5975,
+      "step": 11
+    },
+    {
+      "epoch": 0.015748031496062992,
+      "grad_norm": 1.8719062805175781,
+      "learning_rate": 4.909090909090909e-05,
+      "loss": 1.9477,
+      "step": 12
+    },
+    {
+      "epoch": 0.01706036745406824,
+      "grad_norm": 2.5747101306915283,
+      "learning_rate": 4.863636363636364e-05,
+      "loss": 1.7535,
+      "step": 13
+    },
+    {
+      "epoch": 0.01837270341207349,
+      "grad_norm": 2.137082576751709,
+      "learning_rate": 4.8181818181818186e-05,
+      "loss": 2.0586,
+      "step": 14
+    },
+    {
+      "epoch": 0.01968503937007874,
+      "grad_norm": 2.6489369869232178,
+      "learning_rate": 4.772727272727273e-05,
+      "loss": 1.6699,
+      "step": 15
+    },
+    {
+      "epoch": 0.02099737532808399,
+      "grad_norm": 2.265389919281006,
+      "learning_rate": 4.7272727272727275e-05,
+      "loss": 1.5817,
+      "step": 16
+    },
+    {
+      "epoch": 0.02230971128608924,
+      "grad_norm": 1.5514482259750366,
+      "learning_rate": 4.681818181818182e-05,
+      "loss": 1.4608,
+      "step": 17
+    },
+    {
+      "epoch": 0.023622047244094488,
+      "grad_norm": 2.0037670135498047,
+      "learning_rate": 4.636363636363636e-05,
+      "loss": 1.7752,
+      "step": 18
+    },
+    {
+      "epoch": 0.024934383202099737,
+      "grad_norm": 1.9936821460723877,
+      "learning_rate": 4.5909090909090914e-05,
+      "loss": 1.853,
+      "step": 19
+    },
+    {
+      "epoch": 0.026246719160104987,
+      "grad_norm": 1.5179853439331055,
+      "learning_rate": 4.545454545454546e-05,
+      "loss": 1.2913,
+      "step": 20
+    },
+    {
+      "epoch": 0.027559055118110236,
+      "grad_norm": 1.905592679977417,
+      "learning_rate": 4.5e-05,
+      "loss": 1.9713,
+      "step": 21
+    },
+    {
+      "epoch": 0.028871391076115485,
+      "grad_norm": 1.677475094795227,
+      "learning_rate": 4.454545454545455e-05,
+      "loss": 1.8309,
+      "step": 22
+    },
+    {
+      "epoch": 0.030183727034120734,
+      "grad_norm": 1.7671284675598145,
+      "learning_rate": 4.409090909090909e-05,
+      "loss": 1.5843,
+      "step": 23
+    },
+    {
+      "epoch": 0.031496062992125984,
+      "grad_norm": 1.7625699043273926,
+      "learning_rate": 4.3636363636363636e-05,
+      "loss": 1.6694,
+      "step": 24
+    },
+    {
+      "epoch": 0.03280839895013123,
+      "grad_norm": 1.8689508438110352,
+      "learning_rate": 4.318181818181819e-05,
+      "loss": 1.466,
+      "step": 25
+    },
+    {
+      "epoch": 0.03412073490813648,
+      "grad_norm": 1.8745778799057007,
+      "learning_rate": 4.2727272727272724e-05,
+      "loss": 1.6644,
+      "step": 26
+    },
+    {
+      "epoch": 0.03543307086614173,
+      "grad_norm": 2.0465145111083984,
+      "learning_rate": 4.2272727272727275e-05,
+      "loss": 1.5525,
+      "step": 27
+    },
+    {
+      "epoch": 0.03674540682414698,
+      "grad_norm": 1.6687242984771729,
+      "learning_rate": 4.181818181818182e-05,
+      "loss": 1.6084,
+      "step": 28
+    },
+    {
+      "epoch": 0.03805774278215223,
+      "grad_norm": 2.1840498447418213,
+      "learning_rate": 4.1363636363636364e-05,
+      "loss": 1.6326,
+      "step": 29
+    },
+    {
+      "epoch": 0.03937007874015748,
+      "grad_norm": 1.6122187376022339,
+      "learning_rate": 4.0909090909090915e-05,
+      "loss": 2.0658,
+      "step": 30
+    },
+    {
+      "epoch": 0.04068241469816273,
+      "grad_norm": 1.9633705615997314,
+      "learning_rate": 4.045454545454546e-05,
+      "loss": 1.5645,
+      "step": 31
+    },
+    {
+      "epoch": 0.04199475065616798,
+      "grad_norm": 1.70602285861969,
+      "learning_rate": 4e-05,
+      "loss": 1.7884,
+      "step": 32
+    },
+    {
+      "epoch": 0.04330708661417323,
+      "grad_norm": 1.6108742952346802,
+      "learning_rate": 3.954545454545455e-05,
+      "loss": 1.7589,
+      "step": 33
+    },
+    {
+      "epoch": 0.04461942257217848,
+      "grad_norm": 1.5919780731201172,
+      "learning_rate": 3.909090909090909e-05,
+      "loss": 1.812,
+      "step": 34
+    },
+    {
+      "epoch": 0.045931758530183726,
+      "grad_norm": 1.897838830947876,
+      "learning_rate": 3.8636363636363636e-05,
+      "loss": 1.4926,
+      "step": 35
+    },
+    {
+      "epoch": 0.047244094488188976,
+      "grad_norm": 1.629894495010376,
+      "learning_rate": 3.818181818181819e-05,
+      "loss": 1.3242,
+      "step": 36
+    },
+    {
+      "epoch": 0.048556430446194225,
+      "grad_norm": 1.8950881958007812,
+      "learning_rate": 3.7727272727272725e-05,
+      "loss": 1.8765,
+      "step": 37
+    },
+    {
+      "epoch": 0.049868766404199474,
+      "grad_norm": 2.0185630321502686,
+      "learning_rate": 3.7272727272727276e-05,
+      "loss": 1.8417,
+      "step": 38
+    },
+    {
+      "epoch": 0.051181102362204724,
+      "grad_norm": 1.7326010465621948,
+      "learning_rate": 3.681818181818182e-05,
+      "loss": 1.8811,
+      "step": 39
+    },
+    {
+      "epoch": 0.05249343832020997,
+      "grad_norm": 2.088695526123047,
+      "learning_rate": 3.6363636363636364e-05,
+      "loss": 1.5162,
+      "step": 40
+    },
+    {
+      "epoch": 0.05380577427821522,
+      "grad_norm": 1.5483412742614746,
+      "learning_rate": 3.590909090909091e-05,
+      "loss": 1.5722,
+      "step": 41
+    },
+    {
+      "epoch": 0.05511811023622047,
+      "grad_norm": 1.638238787651062,
+      "learning_rate": 3.545454545454546e-05,
+      "loss": 1.7526,
+      "step": 42
+    },
+    {
+      "epoch": 0.05643044619422572,
+      "grad_norm": 1.4721009731292725,
+      "learning_rate": 3.5e-05,
+      "loss": 1.7936,
+      "step": 43
+    },
+    {
+      "epoch": 0.05774278215223097,
+      "grad_norm": 1.747015118598938,
+      "learning_rate": 3.454545454545455e-05,
+      "loss": 1.8557,
+      "step": 44
+    },
+    {
+      "epoch": 0.05905511811023622,
+      "grad_norm": 1.5715826749801636,
+      "learning_rate": 3.409090909090909e-05,
+      "loss": 2.0143,
+      "step": 45
+    },
+    {
+      "epoch": 0.06036745406824147,
+      "grad_norm": 1.5074222087860107,
+      "learning_rate": 3.3636363636363636e-05,
+      "loss": 1.8241,
+      "step": 46
+    },
+    {
+      "epoch": 0.06167979002624672,
+      "grad_norm": 1.5870237350463867,
+      "learning_rate": 3.318181818181819e-05,
+      "loss": 1.8897,
+      "step": 47
+    },
+    {
+      "epoch": 0.06299212598425197,
+      "grad_norm": 1.7853312492370605,
+      "learning_rate": 3.272727272727273e-05,
+      "loss": 1.6319,
+      "step": 48
+    },
+    {
+      "epoch": 0.06430446194225722,
+      "grad_norm": 1.7995538711547852,
+      "learning_rate": 3.2272727272727276e-05,
+      "loss": 1.543,
+      "step": 49
+    },
+    {
+      "epoch": 0.06561679790026247,
+      "grad_norm": 1.7892729043960571,
+      "learning_rate": 3.181818181818182e-05,
+      "loss": 1.6126,
+      "step": 50
+    },
+    {
+      "epoch": 0.06692913385826772,
+      "grad_norm": 1.7710286378860474,
+      "learning_rate": 3.1363636363636365e-05,
+      "loss": 1.2743,
+      "step": 51
+    },
+    {
+      "epoch": 0.06824146981627296,
+      "grad_norm": 1.5249481201171875,
+      "learning_rate": 3.090909090909091e-05,
+      "loss": 1.8577,
+      "step": 52
+    },
+    {
+      "epoch": 0.06955380577427822,
+      "grad_norm": 2.504638671875,
+      "learning_rate": 3.0454545454545456e-05,
+      "loss": 1.5559,
+      "step": 53
+    },
+    {
+      "epoch": 0.07086614173228346,
+      "grad_norm": 1.6714133024215698,
+      "learning_rate": 3e-05,
+      "loss": 1.7014,
+      "step": 54
+    },
+    {
+      "epoch": 0.07217847769028872,
+      "grad_norm": 1.778096079826355,
+      "learning_rate": 2.954545454545455e-05,
+      "loss": 1.9663,
+      "step": 55
+    },
+    {
+      "epoch": 0.07349081364829396,
+      "grad_norm": 1.3447784185409546,
+      "learning_rate": 2.909090909090909e-05,
+      "loss": 1.584,
+      "step": 56
+    },
+    {
+      "epoch": 0.07480314960629922,
+      "grad_norm": 1.3542073965072632,
+      "learning_rate": 2.863636363636364e-05,
+      "loss": 1.6182,
+      "step": 57
+    },
+    {
+      "epoch": 0.07611548556430446,
+      "grad_norm": 1.4053988456726074,
+      "learning_rate": 2.818181818181818e-05,
+      "loss": 1.8773,
+      "step": 58
+    },
+    {
+      "epoch": 0.07742782152230972,
+      "grad_norm": 1.7100603580474854,
+      "learning_rate": 2.772727272727273e-05,
+      "loss": 1.6747,
+      "step": 59
+    },
+    {
+      "epoch": 0.07874015748031496,
+      "grad_norm": 1.3210084438323975,
+      "learning_rate": 2.7272727272727273e-05,
+      "loss": 1.6899,
+      "step": 60
+    },
+    {
+      "epoch": 0.08005249343832022,
+      "grad_norm": 1.9091479778289795,
+      "learning_rate": 2.681818181818182e-05,
+      "loss": 1.3745,
+      "step": 61
+    },
+    {
+      "epoch": 0.08136482939632546,
+      "grad_norm": 1.4597588777542114,
+      "learning_rate": 2.636363636363636e-05,
+      "loss": 1.8139,
+      "step": 62
+    },
+    {
+      "epoch": 0.08267716535433071,
+      "grad_norm": 1.7286309003829956,
+      "learning_rate": 2.590909090909091e-05,
+      "loss": 1.8441,
+      "step": 63
+    },
+    {
+      "epoch": 0.08398950131233596,
+      "grad_norm": 1.7880821228027344,
+      "learning_rate": 2.5454545454545454e-05,
+      "loss": 1.8993,
+      "step": 64
+    },
+    {
+      "epoch": 0.08530183727034121,
+      "grad_norm": 1.3418382406234741,
+      "learning_rate": 2.5e-05,
+      "loss": 2.0127,
+      "step": 65
+    },
+    {
+      "epoch": 0.08661417322834646,
+      "grad_norm": 1.3379124402999878,
+      "learning_rate": 2.4545454545454545e-05,
+      "loss": 1.5954,
+      "step": 66
+    },
+    {
+      "epoch": 0.08792650918635171,
+      "grad_norm": 1.7308839559555054,
+      "learning_rate": 2.4090909090909093e-05,
+      "loss": 1.5228,
+      "step": 67
+    },
+    {
+      "epoch": 0.08923884514435695,
+      "grad_norm": 1.5438733100891113,
+      "learning_rate": 2.3636363636363637e-05,
+      "loss": 1.5943,
+      "step": 68
+    },
+    {
+      "epoch": 0.09055118110236221,
+      "grad_norm": 1.3583992719650269,
+      "learning_rate": 2.318181818181818e-05,
+      "loss": 1.254,
+      "step": 69
+    },
+    {
+      "epoch": 0.09186351706036745,
+      "grad_norm": 2.1203346252441406,
+      "learning_rate": 2.272727272727273e-05,
+      "loss": 1.0785,
+      "step": 70
+    },
+    {
+      "epoch": 0.09317585301837271,
+      "grad_norm": 1.419634222984314,
+      "learning_rate": 2.2272727272727274e-05,
+      "loss": 1.6355,
+      "step": 71
+    },
+    {
+      "epoch": 0.09448818897637795,
+      "grad_norm": 1.657630205154419,
+      "learning_rate": 2.1818181818181818e-05,
+      "loss": 1.7307,
+      "step": 72
+    },
+    {
+      "epoch": 0.09580052493438321,
+      "grad_norm": 1.7227027416229248,
+      "learning_rate": 2.1363636363636362e-05,
+      "loss": 1.6308,
+      "step": 73
+    },
+    {
+      "epoch": 0.09711286089238845,
+      "grad_norm": 1.6593782901763916,
+      "learning_rate": 2.090909090909091e-05,
+      "loss": 1.6965,
+      "step": 74
+    },
+    {
+      "epoch": 0.0984251968503937,
+      "grad_norm": 1.5448381900787354,
+      "learning_rate": 2.0454545454545457e-05,
+      "loss": 1.6164,
+      "step": 75
+    },
+    {
+      "epoch": 0.09973753280839895,
+      "grad_norm": 1.8978919982910156,
+      "learning_rate": 2e-05,
+      "loss": 1.6052,
+      "step": 76
+    },
+    {
+      "epoch": 0.1010498687664042,
+      "grad_norm": 1.7359306812286377,
+      "learning_rate": 1.9545454545454546e-05,
+      "loss": 1.3419,
+      "step": 77
+    },
+    {
+      "epoch": 0.10236220472440945,
+      "grad_norm": 1.6190097332000732,
+      "learning_rate": 1.9090909090909094e-05,
+      "loss": 1.7516,
+      "step": 78
+    },
+    {
+      "epoch": 0.1036745406824147,
+      "grad_norm": 1.660467505455017,
+      "learning_rate": 1.8636363636363638e-05,
+      "loss": 1.7958,
+      "step": 79
+    },
+    {
+      "epoch": 0.10498687664041995,
+      "grad_norm": 1.5485517978668213,
+      "learning_rate": 1.8181818181818182e-05,
+      "loss": 1.5263,
+      "step": 80
+    },
+    {
+      "epoch": 0.1062992125984252,
+      "grad_norm": 1.545188546180725,
+      "learning_rate": 1.772727272727273e-05,
+      "loss": 1.1843,
+      "step": 81
+    },
+    {
+      "epoch": 0.10761154855643044,
+      "grad_norm": 1.9092739820480347,
+      "learning_rate": 1.7272727272727274e-05,
+      "loss": 1.2617,
+      "step": 82
+    },
+    {
+      "epoch": 0.1089238845144357,
+      "grad_norm": 1.2646833658218384,
+      "learning_rate": 1.6818181818181818e-05,
+      "loss": 1.0567,
+      "step": 83
+    },
+    {
+      "epoch": 0.11023622047244094,
+      "grad_norm": 1.636443018913269,
+      "learning_rate": 1.6363636363636366e-05,
+      "loss": 1.7907,
+      "step": 84
+    },
+    {
+      "epoch": 0.1115485564304462,
+      "grad_norm": 1.9909443855285645,
+      "learning_rate": 1.590909090909091e-05,
+      "loss": 1.8247,
+      "step": 85
+    },
+    {
+      "epoch": 0.11286089238845144,
+      "grad_norm": 1.3928022384643555,
+      "learning_rate": 1.5454545454545454e-05,
+      "loss": 2.0051,
+      "step": 86
+    },
+    {
+      "epoch": 0.1141732283464567,
+      "grad_norm": 1.3174184560775757,
+      "learning_rate": 1.5e-05,
+      "loss": 1.1068,
+      "step": 87
+    },
+    {
+      "epoch": 0.11548556430446194,
+      "grad_norm": 1.7415287494659424,
+      "learning_rate": 1.4545454545454545e-05,
+      "loss": 1.5977,
+      "step": 88
+    },
+    {
+      "epoch": 0.1167979002624672,
+      "grad_norm": 1.4680395126342773,
+      "learning_rate": 1.409090909090909e-05,
+      "loss": 1.6774,
+      "step": 89
+    },
+    {
+      "epoch": 0.11811023622047244,
+      "grad_norm": 1.1343920230865479,
+      "learning_rate": 1.3636363636363637e-05,
+      "loss": 1.2001,
+      "step": 90
+    },
+    {
+      "epoch": 0.1194225721784777,
+      "grad_norm": 1.4262038469314575,
+      "learning_rate": 1.318181818181818e-05,
+      "loss": 1.6783,
+      "step": 91
+    },
+    {
+      "epoch": 0.12073490813648294,
+      "grad_norm": 1.3531324863433838,
+      "learning_rate": 1.2727272727272727e-05,
+      "loss": 1.3457,
+      "step": 92
+    },
+    {
+      "epoch": 0.1220472440944882,
+      "grad_norm": 1.4570822715759277,
+      "learning_rate": 1.2272727272727273e-05,
+      "loss": 1.4791,
+      "step": 93
+    },
+    {
+      "epoch": 0.12335958005249344,
+      "grad_norm": 1.5847400426864624,
+      "learning_rate": 1.1818181818181819e-05,
+      "loss": 1.775,
+      "step": 94
+    },
+    {
+      "epoch": 0.12467191601049869,
+      "grad_norm": 1.318939447402954,
+      "learning_rate": 1.1363636363636365e-05,
+      "loss": 1.2534,
+      "step": 95
+    },
+    {
+      "epoch": 0.12598425196850394,
+      "grad_norm": 1.2848924398422241,
+      "learning_rate": 1.0909090909090909e-05,
+      "loss": 1.4489,
+      "step": 96
+    },
+    {
+      "epoch": 0.1272965879265092,
+      "grad_norm": 1.366542100906372,
+      "learning_rate": 1.0454545454545455e-05,
+      "loss": 1.4036,
+      "step": 97
+    },
+    {
+      "epoch": 0.12860892388451445,
+      "grad_norm": 1.3594622611999512,
+      "learning_rate": 1e-05,
+      "loss": 1.3951,
+      "step": 98
+    },
+    {
+      "epoch": 0.12992125984251968,
+      "grad_norm": 1.5525848865509033,
+      "learning_rate": 9.545454545454547e-06,
+      "loss": 1.4648,
+      "step": 99
+    },
+    {
+      "epoch": 0.13123359580052493,
+      "grad_norm": 1.0725868940353394,
+      "learning_rate": 9.090909090909091e-06,
+      "loss": 1.2162,
+      "step": 100
+    },
+    {
+      "epoch": 0.1325459317585302,
+      "grad_norm": 1.3359230756759644,
+      "learning_rate": 8.636363636363637e-06,
+      "loss": 1.8726,
+      "step": 101
+    },
+    {
+      "epoch": 0.13385826771653545,
+      "grad_norm": 1.2529302835464478,
+      "learning_rate": 8.181818181818183e-06,
+      "loss": 1.2787,
+      "step": 102
+    },
+    {
+      "epoch": 0.13517060367454067,
+      "grad_norm": 1.0764676332473755,
+      "learning_rate": 7.727272727272727e-06,
+      "loss": 1.3241,
+      "step": 103
+    },
+    {
+      "epoch": 0.13648293963254593,
+      "grad_norm": 1.7506639957427979,
+      "learning_rate": 7.272727272727272e-06,
+      "loss": 1.5734,
+      "step": 104
+    },
+    {
+      "epoch": 0.1377952755905512,
+      "grad_norm": 1.609567403793335,
+      "learning_rate": 6.818181818181818e-06,
+      "loss": 1.6403,
+      "step": 105
+    },
+    {
+      "epoch": 0.13910761154855644,
+      "grad_norm": 1.47870671749115,
+      "learning_rate": 6.363636363636363e-06,
+      "loss": 1.9961,
+      "step": 106
+    },
+    {
+      "epoch": 0.14041994750656167,
+      "grad_norm": 2.0325543880462646,
+      "learning_rate": 5.909090909090909e-06,
+      "loss": 1.2603,
+      "step": 107
+    },
+    {
+      "epoch": 0.14173228346456693,
+      "grad_norm": 1.988196849822998,
+      "learning_rate": 5.4545454545454545e-06,
+      "loss": 1.6179,
+      "step": 108
+    },
+    {
+      "epoch": 0.14304461942257218,
+      "grad_norm": 1.5494691133499146,
+      "learning_rate": 5e-06,
+      "loss": 1.6994,
+      "step": 109
+    },
+    {
+      "epoch": 0.14435695538057744,
+      "grad_norm": 1.5802687406539917,
+      "learning_rate": 4.5454545454545455e-06,
+      "loss": 1.843,
+      "step": 110
+    },
+    {
+      "epoch": 0.14566929133858267,
+      "grad_norm": 1.7539070844650269,
+      "learning_rate": 4.0909090909090915e-06,
+      "loss": 1.6814,
+      "step": 111
+    },
+    {
+      "epoch": 0.14698162729658792,
+      "grad_norm": 1.5182738304138184,
+      "learning_rate": 3.636363636363636e-06,
+      "loss": 1.7597,
+      "step": 112
+    },
+    {
+      "epoch": 0.14829396325459318,
+      "grad_norm": 1.5883097648620605,
+      "learning_rate": 3.1818181818181817e-06,
+      "loss": 1.5302,
+      "step": 113
+    },
+    {
+      "epoch": 0.14960629921259844,
+      "grad_norm": 1.4584324359893799,
+      "learning_rate": 2.7272727272727272e-06,
+      "loss": 1.652,
+      "step": 114
+    },
+    {
+      "epoch": 0.15091863517060367,
+      "grad_norm": 1.9044572114944458,
+      "learning_rate": 2.2727272727272728e-06,
+      "loss": 1.7888,
+      "step": 115
+    },
+    {
+      "epoch": 0.15223097112860892,
+      "grad_norm": 1.6256836652755737,
+      "learning_rate": 1.818181818181818e-06,
+      "loss": 1.6997,
+      "step": 116
+    },
+    {
+      "epoch": 0.15354330708661418,
+      "grad_norm": 1.4854289293289185,
+      "learning_rate": 1.3636363636363636e-06,
+      "loss": 1.7064,
+      "step": 117
+    },
+    {
+      "epoch": 0.15485564304461943,
+      "grad_norm": 1.5047718286514282,
+      "learning_rate": 9.09090909090909e-07,
+      "loss": 1.4211,
+      "step": 118
+    },
+    {
+      "epoch": 0.15616797900262466,
+      "grad_norm": 1.6195610761642456,
+      "learning_rate": 4.545454545454545e-07,
+      "loss": 1.8672,
+      "step": 119
+    },
+    {
+      "epoch": 0.15748031496062992,
+      "grad_norm": 1.5324839353561401,
+      "learning_rate": 0.0,
+      "loss": 1.6956,
+      "step": 120
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 120,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.935734882582528e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c31091ad293302112158c7786e72328fe92936c9798063b69d6d5a5b28136212
+size 5560