---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FR_30000_41
  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. -->

# FR_30000_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7585
- Accuracy: 0.3321

## 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   | 976  | 4.7817          | 0.2336   |
| 1.2461        | 2.0   | 1952 | 4.3996          | 0.2655   |
| 1.0362        | 3.0   | 2928 | 4.2040          | 0.2850   |
| 0.9715        | 4.0   | 3904 | 4.0976          | 0.2939   |
| 0.9346        | 5.0   | 4880 | 4.0111          | 0.3034   |
| 0.9069        | 6.0   | 5856 | 3.9493          | 0.3088   |
| 0.8835        | 7.0   | 6832 | 3.8856          | 0.3171   |
| 0.8622        | 8.0   | 7808 | 3.8233          | 0.3234   |
| 0.8415        | 9.0   | 8784 | 3.7798          | 0.3297   |
| 0.8265        | 10.0  | 9760 | 3.7585          | 0.3321   |


### Framework versions

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