---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trainer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# trainer

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3546
- Accuracy: 0.8807

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.032227
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 4096
- optimizer: Use OptimizerNames.SCHEDULE_FREE_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- training_steps: 1000000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0      | 0    | 4.3903          | 0.0137   |
| No log        | 0.0044 | 122  | 1.1251          | 0.6574   |
| No log        | 0.0087 | 244  | 0.8266          | 0.7365   |
| No log        | 0.0131 | 366  | 0.7493          | 0.7590   |
| No log        | 0.0175 | 488  | 0.6913          | 0.7755   |
| 9.1782        | 0.0218 | 610  | 0.6348          | 0.7927   |
| 9.1782        | 0.0262 | 732  | 0.5897          | 0.8064   |
| 9.1782        | 0.0306 | 854  | 0.5569          | 0.8170   |
| 9.1782        | 0.0349 | 976  | 0.5262          | 0.8266   |
| 5.0917        | 0.0393 | 1098 | 0.4957          | 0.8360   |
| 5.0917        | 0.0437 | 1220 | 0.4761          | 0.8424   |
| 5.0917        | 0.0480 | 1342 | 0.4616          | 0.8464   |
| 5.0917        | 0.0524 | 1464 | 0.4479          | 0.8510   |
| 4.0398        | 0.0568 | 1586 | 0.4397          | 0.8536   |
| 4.0398        | 0.0611 | 1708 | 0.4293          | 0.8564   |
| 4.0398        | 0.0655 | 1830 | 0.4231          | 0.8592   |
| 4.0398        | 0.0699 | 1952 | 0.4139          | 0.8614   |
| 3.5268        | 0.0743 | 2074 | 0.4088          | 0.8635   |
| 3.5268        | 0.0786 | 2196 | 0.4035          | 0.8649   |
| 3.5268        | 0.0830 | 2318 | 0.4000          | 0.8666   |
| 3.5268        | 0.0874 | 2440 | 0.3950          | 0.8678   |
| 3.3084        | 0.0917 | 2562 | 0.3915          | 0.8688   |
| 3.3084        | 0.0961 | 2684 | 0.3866          | 0.8705   |
| 3.3084        | 0.1005 | 2806 | 0.3843          | 0.8712   |
| 3.3084        | 0.1048 | 2928 | 0.3804          | 0.8726   |
| 3.1769        | 0.1092 | 3050 | 0.3776          | 0.8733   |
| 3.1769        | 0.1136 | 3172 | 0.3729          | 0.8749   |
| 3.1769        | 0.1179 | 3294 | 0.3723          | 0.8751   |
| 3.1769        | 0.1223 | 3416 | 0.3698          | 0.8759   |
| 3.0785        | 0.1267 | 3538 | 0.3659          | 0.8772   |
| 3.0785        | 0.1310 | 3660 | 0.3644          | 0.8775   |
| 3.0785        | 0.1354 | 3782 | 0.3599          | 0.8788   |
| 3.0785        | 0.1398 | 3904 | 0.3584          | 0.8794   |
| 2.9831        | 0.1441 | 4026 | 0.3567          | 0.8800   |
| 2.9831        | 0.1485 | 4148 | 0.3528          | 0.8817   |
| 2.9831        | 0.1529 | 4270 | 0.3535          | 0.8811   |
| 2.9831        | 0.1572 | 4392 | 0.3541          | 0.8809   |


### Framework versions

- Transformers 4.52.2
- Pytorch 2.8.0.dev20250521+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1