---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FR_5000_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# FR_5000_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1981
- Accuracy: 0.3858

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.1808        | 1.0   | 1132  | 4.3484          | 0.2245   |
| 0.9761        | 2.0   | 2264  | 3.9409          | 0.2771   |
| 0.9067        | 3.0   | 3396  | 3.7296          | 0.3072   |
| 0.8612        | 4.0   | 4528  | 3.5686          | 0.3292   |
| 0.8249        | 5.0   | 5660  | 3.4588          | 0.3459   |
| 0.7961        | 6.0   | 6792  | 3.3755          | 0.3591   |
| 0.7736        | 7.0   | 7924  | 3.3061          | 0.3692   |
| 0.7365        | 8.0   | 9056  | 3.2526          | 0.3776   |
| 0.7209        | 9.0   | 10188 | 3.2175          | 0.3829   |
| 0.7088        | 10.0  | 11320 | 3.1981          | 0.3858   |


### Framework versions

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