---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_w_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_w_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: 3.1763

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.5857        | 1.0   | 496  | 3.5241          |
| 3.3228        | 2.0   | 992  | 3.3001          |
| 3.1656        | 3.0   | 1488 | 3.2203          |
| 3.078         | 4.0   | 1984 | 3.1739          |
| 3.0125        | 5.0   | 2480 | 3.1434          |
| 2.9601        | 6.0   | 2976 | 3.1195          |
| 2.9126        | 7.0   | 3472 | 3.1073          |
| 2.868         | 8.0   | 3968 | 3.1036          |
| 2.8271        | 9.0   | 4464 | 3.0964          |
| 2.787         | 10.0  | 4960 | 3.0980          |
| 2.7475        | 11.0  | 5456 | 3.0985          |
| 2.71          | 12.0  | 5952 | 3.1066          |
| 2.6721        | 13.0  | 6448 | 3.1152          |
| 2.6369        | 14.0  | 6944 | 3.1243          |
| 2.6025        | 15.0  | 7440 | 3.1367          |
| 2.5712        | 16.0  | 7936 | 3.1456          |
| 2.5427        | 17.0  | 8432 | 3.1547          |
| 2.519         | 18.0  | 8928 | 3.1654          |
| 2.4987        | 19.0  | 9424 | 3.1713          |
| 2.4831        | 20.0  | 9920 | 3.1763          |


### Framework versions

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