---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FR_50000_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# FR_50000_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8694
- Accuracy: 0.3239

## 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   | 959  | 4.9203          | 0.2201   |
| 1.251         | 2.0   | 1918 | 4.4766          | 0.2658   |
| 1.0398        | 3.0   | 2877 | 4.3036          | 0.2796   |
| 0.978         | 4.0   | 3836 | 4.2015          | 0.2879   |
| 0.9464        | 5.0   | 4795 | 4.1312          | 0.2941   |
| 0.9242        | 6.0   | 5754 | 4.0540          | 0.3038   |
| 0.9027        | 7.0   | 6713 | 3.9988          | 0.3076   |
| 0.8825        | 8.0   | 7672 | 3.9320          | 0.3171   |
| 0.8632        | 9.0   | 8631 | 3.8911          | 0.3207   |
| 0.8454        | 10.0  | 9590 | 3.8694          | 0.3239   |


### Framework versions

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