---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_sh1_fr_30
  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_sh1_fr_30

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: 3.3099

## 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: 30
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.0017        | 1.0   | 145  | 4.5165          |
| 4.1747        | 2.0   | 290  | 4.0281          |
| 3.8777        | 3.0   | 435  | 3.7704          |
| 3.6723        | 4.0   | 580  | 3.6043          |
| 3.5366        | 5.0   | 725  | 3.5114          |
| 3.4452        | 6.0   | 870  | 3.4480          |
| 3.3743        | 7.0   | 1015 | 3.4009          |
| 3.3153        | 8.0   | 1160 | 3.3667          |
| 3.2657        | 9.0   | 1305 | 3.3414          |
| 3.2193        | 10.0  | 1450 | 3.3189          |
| 3.1773        | 11.0  | 1595 | 3.3084          |
| 3.1366        | 12.0  | 1740 | 3.2952          |
| 3.0985        | 13.0  | 1885 | 3.2936          |
| 3.061         | 14.0  | 2030 | 3.2873          |
| 3.0252        | 15.0  | 2175 | 3.2956          |
| 2.9897        | 16.0  | 2320 | 3.2938          |
| 2.9574        | 17.0  | 2465 | 3.2979          |
| 2.9302        | 18.0  | 2610 | 3.3015          |
| 2.9063        | 19.0  | 2755 | 3.3071          |
| 2.8895        | 20.0  | 2900 | 3.3099          |


### Framework versions

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