Upload folder using huggingface_hub

.gitattributes

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

README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/gemma-3-12b-it-unsloth-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 0.15.0

adapter_config.json

@@ -0,0 +1,39 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/gemma-3-12b-it-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "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": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "down_proj",
+    "v_proj",
+    "k_proj",
+    "q_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1bb11fe3e84a68fa4748aee22983c757bb4a5a7904c0105249a8348ede5e264
+size 1095431224

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<image_soft_token>": 262144
+}

chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n    {%- if messages[0]['content'] is string -%}\n        {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n    {%- else -%}\n        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n    {%- endif -%}\n    {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n    {%- set first_user_prefix = \"\" -%}\n    {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n        {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n    {%- endif -%}\n    {%- if (message['role'] == 'assistant') -%}\n        {%- set role = \"model\" -%}\n    {%- else -%}\n        {%- set role = message['role'] -%}\n    {%- endif -%}\n    {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n    {%- if message['content'] is string -%}\n        {{ message['content'] | trim }}\n    {%- elif message['content'] is iterable -%}\n        {%- for item in message['content'] -%}\n            {%- if item['type'] == 'image' -%}\n                {{ '<start_of_image>' }}\n            {%- elif item['type'] == 'text' -%}\n                {{ item['text'] | trim }}\n            {%- endif -%}\n        {%- endfor -%}\n    {%- else -%}\n        {{ raise_exception(\"Invalid content type\") }}\n    {%- endif -%}\n    {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{'<start_of_turn>model\n'}}\n{%- endif -%}\n"
+}

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:537ffa36e63143b907143262b41c7b96754350334f00e17044f8898e85b27714
+size 532739028

preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_pan_and_scan": null,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "Gemma3ImageProcessor",
+  "image_seq_length": 256,
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "pan_and_scan_max_num_crops": null,
+  "pan_and_scan_min_crop_size": null,
+  "pan_and_scan_min_ratio_to_activate": null,
+  "processor_class": "Gemma3Processor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 896,
+    "width": 896
+  }
+}

processor_config.json

@@ -0,0 +1,4 @@
+{
+  "image_seq_length": 256,
+  "processor_class": "Gemma3Processor"
+}

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f13c3a9830caa5f9be85242b37bd5ec6ae6eb8912ae6fec48c662b7458a7997
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a7809204a55240a609057a3bcfe861cee3420879349ba34f0392c1d74139cf3
+size 1064

special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<end_of_turn>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4201e7b539fef153e1fe3058db39e600717b3323fee690d37e92fa52fb2b5af2
+size 33384667

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
+size 4689074

trainer_state.json

@@ -0,0 +1,593 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.4339419978517722,
+  "eval_steps": 500,
+  "global_step": 800,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.04296455424274973,
+      "grad_norm": 1.6397182941436768,
+      "learning_rate": 5e-06,
+      "loss": 3.4918,
+      "step": 10
+    },
+    {
+      "epoch": 0.08592910848549946,
+      "grad_norm": 1.1852494478225708,
+      "learning_rate": 4.998023493068255e-06,
+      "loss": 3.1439,
+      "step": 20
+    },
+    {
+      "epoch": 0.1288936627282492,
+      "grad_norm": 0.813017725944519,
+      "learning_rate": 4.99209709753674e-06,
+      "loss": 2.7821,
+      "step": 30
+    },
+    {
+      "epoch": 0.17185821697099893,
+      "grad_norm": 0.8324390053749084,
+      "learning_rate": 4.982230184254934e-06,
+      "loss": 2.5004,
+      "step": 40
+    },
+    {
+      "epoch": 0.21482277121374865,
+      "grad_norm": 0.7486415505409241,
+      "learning_rate": 4.968438354840834e-06,
+      "loss": 2.2932,
+      "step": 50
+    },
+    {
+      "epoch": 0.2577873254564984,
+      "grad_norm": 0.8176449537277222,
+      "learning_rate": 4.950743417011591e-06,
+      "loss": 2.0388,
+      "step": 60
+    },
+    {
+      "epoch": 0.3007518796992481,
+      "grad_norm": 1.1593029499053955,
+      "learning_rate": 4.929173350101025e-06,
+      "loss": 1.798,
+      "step": 70
+    },
+    {
+      "epoch": 0.34371643394199786,
+      "grad_norm": 0.8432386517524719,
+      "learning_rate": 4.903762260818552e-06,
+      "loss": 1.5069,
+      "step": 80
+    },
+    {
+      "epoch": 0.3866809881847476,
+      "grad_norm": 0.5978631973266602,
+      "learning_rate": 4.874550329319457e-06,
+      "loss": 1.2985,
+      "step": 90
+    },
+    {
+      "epoch": 0.4296455424274973,
+      "grad_norm": 0.43345287442207336,
+      "learning_rate": 4.84158374567182e-06,
+      "loss": 1.1899,
+      "step": 100
+    },
+    {
+      "epoch": 0.47261009667024706,
+      "grad_norm": 0.41255077719688416,
+      "learning_rate": 4.804914636820517e-06,
+      "loss": 1.207,
+      "step": 110
+    },
+    {
+      "epoch": 0.5155746509129968,
+      "grad_norm": 0.3531062602996826,
+      "learning_rate": 4.764600984163809e-06,
+      "loss": 1.097,
+      "step": 120
+    },
+    {
+      "epoch": 0.5585392051557465,
+      "grad_norm": 0.3125358819961548,
+      "learning_rate": 4.72070653187283e-06,
+      "loss": 1.0538,
+      "step": 130
+    },
+    {
+      "epoch": 0.6015037593984962,
+      "grad_norm": 0.3715002238750458,
+      "learning_rate": 4.673300686098957e-06,
+      "loss": 1.0238,
+      "step": 140
+    },
+    {
+      "epoch": 0.644468313641246,
+      "grad_norm": 0.3236304819583893,
+      "learning_rate": 4.622458405228411e-06,
+      "loss": 1.0329,
+      "step": 150
+    },
+    {
+      "epoch": 0.6874328678839957,
+      "grad_norm": 0.389879435300827,
+      "learning_rate": 4.568260081357644e-06,
+      "loss": 1.0452,
+      "step": 160
+    },
+    {
+      "epoch": 0.7303974221267454,
+      "grad_norm": 0.3259812593460083,
+      "learning_rate": 4.510791413176912e-06,
+      "loss": 1.0407,
+      "step": 170
+    },
+    {
+      "epoch": 0.7733619763694952,
+      "grad_norm": 0.3405851125717163,
+      "learning_rate": 4.450143270463031e-06,
+      "loss": 1.0219,
+      "step": 180
+    },
+    {
+      "epoch": 0.8163265306122449,
+      "grad_norm": 0.35685139894485474,
+      "learning_rate": 4.386411550395576e-06,
+      "loss": 0.9988,
+      "step": 190
+    },
+    {
+      "epoch": 0.8592910848549946,
+      "grad_norm": 0.3287046253681183,
+      "learning_rate": 4.319697025923736e-06,
+      "loss": 1.0164,
+      "step": 200
+    },
+    {
+      "epoch": 0.9022556390977443,
+      "grad_norm": 0.33687785267829895,
+      "learning_rate": 4.250105186423564e-06,
+      "loss": 0.9938,
+      "step": 210
+    },
+    {
+      "epoch": 0.9452201933404941,
+      "grad_norm": 0.40256965160369873,
+      "learning_rate": 4.177746070897593e-06,
+      "loss": 1.001,
+      "step": 220
+    },
+    {
+      "epoch": 0.9881847475832438,
+      "grad_norm": 0.48085835576057434,
+      "learning_rate": 4.10273409398055e-06,
+      "loss": 1.0145,
+      "step": 230
+    },
+    {
+      "epoch": 1.0300751879699248,
+      "grad_norm": 0.4048563241958618,
+      "learning_rate": 4.025187865026311e-06,
+      "loss": 0.9861,
+      "step": 240
+    },
+    {
+      "epoch": 1.0730397422126745,
+      "grad_norm": 0.34213146567344666,
+      "learning_rate": 3.945230000562121e-06,
+      "loss": 0.9843,
+      "step": 250
+    },
+    {
+      "epoch": 1.1160042964554242,
+      "grad_norm": 0.3930899500846863,
+      "learning_rate": 3.862986930406669e-06,
+      "loss": 0.9539,
+      "step": 260
+    },
+    {
+      "epoch": 1.158968850698174,
+      "grad_norm": 0.41636350750923157,
+      "learning_rate": 3.7785886977585562e-06,
+      "loss": 0.9629,
+      "step": 270
+    },
+    {
+      "epoch": 1.2019334049409238,
+      "grad_norm": 0.3695228397846222,
+      "learning_rate": 3.6921687535712657e-06,
+      "loss": 0.9778,
+      "step": 280
+    },
+    {
+      "epoch": 1.2448979591836735,
+      "grad_norm": 0.3623664677143097,
+      "learning_rate": 3.6038637455397802e-06,
+      "loss": 0.9613,
+      "step": 290
+    },
+    {
+      "epoch": 1.2878625134264232,
+      "grad_norm": 0.4789970815181732,
+      "learning_rate": 3.513813302032485e-06,
+      "loss": 0.9671,
+      "step": 300
+    },
+    {
+      "epoch": 1.330827067669173,
+      "grad_norm": 0.4214249849319458,
+      "learning_rate": 3.4221598113100196e-06,
+      "loss": 0.9597,
+      "step": 310
+    },
+    {
+      "epoch": 1.3737916219119226,
+      "grad_norm": 0.4314541518688202,
+      "learning_rate": 3.32904819638017e-06,
+      "loss": 0.9872,
+      "step": 320
+    },
+    {
+      "epoch": 1.4167561761546725,
+      "grad_norm": 0.45763522386550903,
+      "learning_rate": 3.234625685844803e-06,
+      "loss": 1.006,
+      "step": 330
+    },
+    {
+      "epoch": 1.459720730397422,
+      "grad_norm": 0.41263076663017273,
+      "learning_rate": 3.139041581101187e-06,
+      "loss": 0.973,
+      "step": 340
+    },
+    {
+      "epoch": 1.502685284640172,
+      "grad_norm": 0.5277674198150635,
+      "learning_rate": 3.0424470202657953e-06,
+      "loss": 0.9525,
+      "step": 350
+    },
+    {
+      "epoch": 1.5456498388829216,
+      "grad_norm": 0.5219724178314209,
+      "learning_rate": 2.9449947391938768e-06,
+      "loss": 0.9516,
+      "step": 360
+    },
+    {
+      "epoch": 1.5886143931256713,
+      "grad_norm": 0.47409552335739136,
+      "learning_rate": 2.8468388299726714e-06,
+      "loss": 0.9599,
+      "step": 370
+    },
+    {
+      "epoch": 1.631578947368421,
+      "grad_norm": 0.4466871917247772,
+      "learning_rate": 2.7481344972701545e-06,
+      "loss": 0.952,
+      "step": 380
+    },
+    {
+      "epoch": 1.6745435016111707,
+      "grad_norm": 0.4826906621456146,
+      "learning_rate": 2.64903781292455e-06,
+      "loss": 0.9492,
+      "step": 390
+    },
+    {
+      "epoch": 1.7175080558539206,
+      "grad_norm": 0.4338424801826477,
+      "learning_rate": 2.5497054691626754e-06,
+      "loss": 0.9584,
+      "step": 400
+    },
+    {
+      "epoch": 1.76047261009667,
+      "grad_norm": 0.6052074432373047,
+      "learning_rate": 2.4502945308373246e-06,
+      "loss": 0.9446,
+      "step": 410
+    },
+    {
+      "epoch": 1.80343716433942,
+      "grad_norm": 0.5061154961585999,
+      "learning_rate": 2.3509621870754505e-06,
+      "loss": 0.9369,
+      "step": 420
+    },
+    {
+      "epoch": 1.8464017185821697,
+      "grad_norm": 0.47927358746528625,
+      "learning_rate": 2.2518655027298468e-06,
+      "loss": 1.0038,
+      "step": 430
+    },
+    {
+      "epoch": 1.8893662728249194,
+      "grad_norm": 0.4831957221031189,
+      "learning_rate": 2.15316117002733e-06,
+      "loss": 0.9501,
+      "step": 440
+    },
+    {
+      "epoch": 1.9323308270676691,
+      "grad_norm": 0.4502115249633789,
+      "learning_rate": 2.055005260806125e-06,
+      "loss": 0.9333,
+      "step": 450
+    },
+    {
+      "epoch": 1.9752953813104188,
+      "grad_norm": 0.6315404772758484,
+      "learning_rate": 1.957552979734205e-06,
+      "loss": 0.9279,
+      "step": 460
+    },
+    {
+      "epoch": 2.0171858216970997,
+      "grad_norm": 0.5396577715873718,
+      "learning_rate": 1.8609584188988135e-06,
+      "loss": 0.9254,
+      "step": 470
+    },
+    {
+      "epoch": 2.0601503759398496,
+      "grad_norm": 0.49860578775405884,
+      "learning_rate": 1.7653743141551983e-06,
+      "loss": 0.9307,
+      "step": 480
+    },
+    {
+      "epoch": 2.1031149301825995,
+      "grad_norm": 0.4839128255844116,
+      "learning_rate": 1.6709518036198307e-06,
+      "loss": 0.9491,
+      "step": 490
+    },
+    {
+      "epoch": 2.146079484425349,
+      "grad_norm": 0.4922753572463989,
+      "learning_rate": 1.5778401886899808e-06,
+      "loss": 0.9209,
+      "step": 500
+    },
+    {
+      "epoch": 2.189044038668099,
+      "grad_norm": 0.6326885223388672,
+      "learning_rate": 1.4861866979675155e-06,
+      "loss": 0.9163,
+      "step": 510
+    },
+    {
+      "epoch": 2.2320085929108484,
+      "grad_norm": 0.5038188099861145,
+      "learning_rate": 1.3961362544602215e-06,
+      "loss": 0.934,
+      "step": 520
+    },
+    {
+      "epoch": 2.2749731471535983,
+      "grad_norm": 0.5759682059288025,
+      "learning_rate": 1.3078312464287355e-06,
+      "loss": 0.9335,
+      "step": 530
+    },
+    {
+      "epoch": 2.317937701396348,
+      "grad_norm": 0.5074816942214966,
+      "learning_rate": 1.2214113022414448e-06,
+      "loss": 0.9194,
+      "step": 540
+    },
+    {
+      "epoch": 2.3609022556390977,
+      "grad_norm": 0.5167147517204285,
+      "learning_rate": 1.1370130695933317e-06,
+      "loss": 0.9442,
+      "step": 550
+    },
+    {
+      "epoch": 2.4038668098818476,
+      "grad_norm": 0.4864475131034851,
+      "learning_rate": 1.0547699994378787e-06,
+      "loss": 0.9248,
+      "step": 560
+    },
+    {
+      "epoch": 2.446831364124597,
+      "grad_norm": 0.5640864968299866,
+      "learning_rate": 9.74812134973689e-07,
+      "loss": 0.9063,
+      "step": 570
+    },
+    {
+      "epoch": 2.489795918367347,
+      "grad_norm": 0.5532556772232056,
+      "learning_rate": 8.972659060194505e-07,
+      "loss": 0.9045,
+      "step": 580
+    },
+    {
+      "epoch": 2.5327604726100965,
+      "grad_norm": 0.539094090461731,
+      "learning_rate": 8.222539291024079e-07,
+      "loss": 0.9115,
+      "step": 590
+    },
+    {
+      "epoch": 2.5757250268528464,
+      "grad_norm": 0.5470451712608337,
+      "learning_rate": 7.49894813576437e-07,
+      "loss": 0.9261,
+      "step": 600
+    },
+    {
+      "epoch": 2.6186895810955964,
+      "grad_norm": 0.6289984583854675,
+      "learning_rate": 6.803029740762648e-07,
+      "loss": 0.9183,
+      "step": 610
+    },
+    {
+      "epoch": 2.661654135338346,
+      "grad_norm": 0.6060165166854858,
+      "learning_rate": 6.135884496044245e-07,
+      "loss": 0.9308,
+      "step": 620
+    },
+    {
+      "epoch": 2.7046186895810957,
+      "grad_norm": 0.5452494025230408,
+      "learning_rate": 5.4985672953697e-07,
+      "loss": 0.9702,
+      "step": 630
+    },
+    {
+      "epoch": 2.7475832438238452,
+      "grad_norm": 0.577720582485199,
+      "learning_rate": 4.892085868230881e-07,
+      "loss": 0.9176,
+      "step": 640
+    },
+    {
+      "epoch": 2.790547798066595,
+      "grad_norm": 0.5641165375709534,
+      "learning_rate": 4.317399186423574e-07,
+      "loss": 0.9452,
+      "step": 650
+    },
+    {
+      "epoch": 2.833512352309345,
+      "grad_norm": 0.5322738289833069,
+      "learning_rate": 3.7754159477158994e-07,
+      "loss": 0.9271,
+      "step": 660
+    },
+    {
+      "epoch": 2.8764769065520945,
+      "grad_norm": 0.6401134133338928,
+      "learning_rate": 3.266993139010438e-07,
+      "loss": 0.9151,
+      "step": 670
+    },
+    {
+      "epoch": 2.919441460794844,
+      "grad_norm": 0.653149425983429,
+      "learning_rate": 2.792934681271708e-07,
+      "loss": 0.8951,
+      "step": 680
+    },
+    {
+      "epoch": 2.962406015037594,
+      "grad_norm": 0.5724528431892395,
+      "learning_rate": 2.3539901583619186e-07,
+      "loss": 0.9102,
+      "step": 690
+    },
+    {
+      "epoch": 3.004296455424275,
+      "grad_norm": 0.5610048174858093,
+      "learning_rate": 1.9508536317948358e-07,
+      "loss": 0.8989,
+      "step": 700
+    },
+    {
+      "epoch": 3.0472610096670247,
+      "grad_norm": 0.6965809464454651,
+      "learning_rate": 1.584162543281806e-07,
+      "loss": 0.9079,
+      "step": 710
+    },
+    {
+      "epoch": 3.090225563909774,
+      "grad_norm": 0.594599723815918,
+      "learning_rate": 1.2544967068054332e-07,
+      "loss": 0.9214,
+      "step": 720
+    },
+    {
+      "epoch": 3.133190118152524,
+      "grad_norm": 0.5906569361686707,
+      "learning_rate": 9.623773918144896e-08,
+      "loss": 0.9054,
+      "step": 730
+    },
+    {
+      "epoch": 3.176154672395274,
+      "grad_norm": 0.5923225283622742,
+      "learning_rate": 7.082664989897486e-08,
+      "loss": 0.9305,
+      "step": 740
+    },
+    {
+      "epoch": 3.2191192266380235,
+      "grad_norm": 0.5577116012573242,
+      "learning_rate": 4.9256582988409795e-08,
+      "loss": 0.9231,
+      "step": 750
+    },
+    {
+      "epoch": 3.2620837808807734,
+      "grad_norm": 0.5889368057250977,
+      "learning_rate": 3.15616451591666e-08,
+      "loss": 0.9072,
+      "step": 760
+    },
+    {
+      "epoch": 3.305048335123523,
+      "grad_norm": 0.5589332580566406,
+      "learning_rate": 1.7769815745066476e-08,
+      "loss": 0.9138,
+      "step": 770
+    },
+    {
+      "epoch": 3.348012889366273,
+      "grad_norm": 0.646337628364563,
+      "learning_rate": 7.90290246326042e-09,
+      "loss": 0.9175,
+      "step": 780
+    },
+    {
+      "epoch": 3.3909774436090228,
+      "grad_norm": 0.6335355043411255,
+      "learning_rate": 1.976506931745392e-09,
+      "loss": 0.9135,
+      "step": 790
+    },
+    {
+      "epoch": 3.4339419978517722,
+      "grad_norm": 0.7010214924812317,
+      "learning_rate": 0.0,
+      "loss": 0.9279,
+      "step": 800
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 800,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.9266685807744512e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb03e9879eb833a3fba3eb2e4f5380c341348d338d76f9cb7329493b918a56d6
+size 5624