---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_np_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_np_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: 3.1209

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8272        | 1.0   | 495  | 3.7847          |
| 3.5402        | 2.0   | 990  | 3.4386          |
| 3.2821        | 3.0   | 1485 | 3.2927          |
| 3.137         | 4.0   | 1980 | 3.2117          |
| 3.0348        | 5.0   | 2475 | 3.1546          |
| 2.954         | 6.0   | 2970 | 3.1158          |
| 2.8855        | 7.0   | 3465 | 3.0910          |
| 2.825         | 8.0   | 3960 | 3.0728          |
| 2.7694        | 9.0   | 4455 | 3.0644          |
| 2.7177        | 10.0  | 4950 | 3.0593          |
| 2.669         | 11.0  | 5445 | 3.0597          |
| 2.6224        | 12.0  | 5940 | 3.0583          |
| 2.5777        | 13.0  | 6435 | 3.0667          |
| 2.5359        | 14.0  | 6930 | 3.0735          |
| 2.4989        | 15.0  | 7425 | 3.0843          |
| 2.4655        | 16.0  | 7920 | 3.0919          |
| 2.4359        | 17.0  | 8415 | 3.1010          |
| 2.4099        | 18.0  | 8910 | 3.1109          |
| 2.388         | 19.0  | 9405 | 3.1171          |
| 2.3712        | 20.0  | 9900 | 3.1209          |


### Framework versions

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