---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_o_fr_13
  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. -->

# cds_o_fr_13

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: 2.9088

## 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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 13
- optimizer: Use adamw_torch_fused 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: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.8188        | 1.0   | 145  | 4.1782          |
| 3.6451        | 2.0   | 290  | 3.4042          |
| 3.2742        | 3.0   | 435  | 3.1872          |
| 3.1065        | 4.0   | 580  | 3.0692          |
| 3.0059        | 5.0   | 725  | 3.0006          |
| 2.9407        | 6.0   | 870  | 2.9596          |
| 2.8903        | 7.0   | 1015 | 2.9294          |
| 2.8492        | 8.0   | 1160 | 2.9076          |
| 2.8124        | 9.0   | 1305 | 2.8944          |
| 2.7787        | 10.0  | 1450 | 2.8837          |
| 2.7466        | 11.0  | 1595 | 2.8761          |
| 2.7144        | 12.0  | 1740 | 2.8737          |
| 2.6832        | 13.0  | 1885 | 2.8720          |
| 2.6516        | 14.0  | 2030 | 2.8742          |
| 2.6203        | 15.0  | 2175 | 2.8789          |
| 2.5899        | 16.0  | 2320 | 2.8853          |
| 2.561         | 17.0  | 2465 | 2.8913          |
| 2.5336        | 18.0  | 2610 | 2.8993          |
| 2.5111        | 19.0  | 2755 | 2.9061          |
| 2.4944        | 20.0  | 2900 | 2.9088          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0