---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: AR_8680_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# AR_8680_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5867
- Accuracy: 0.2572

## 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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 940  | 5.8610          | 0.1440   |
| 1.4989        | 2.0   | 1880 | 5.5649          | 0.1544   |
| 1.3199        | 3.0   | 2820 | 5.2958          | 0.1757   |
| 1.2518        | 4.0   | 3760 | 5.0584          | 0.1987   |
| 1.1835        | 5.0   | 4700 | 4.9272          | 0.2129   |
| 1.1333        | 6.0   | 5640 | 4.8093          | 0.2278   |
| 1.095         | 7.0   | 6580 | 4.7237          | 0.2380   |
| 1.0654        | 8.0   | 7520 | 4.6550          | 0.2473   |
| 1.0384        | 9.0   | 8460 | 4.6116          | 0.2542   |
| 1.0178        | 10.0  | 9400 | 4.5867          | 0.2572   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1