---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_sh1_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_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: 3.1615

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8958        | 1.0   | 495  | 3.9315          |
| 3.6499        | 2.0   | 990  | 3.5397          |
| 3.3793        | 3.0   | 1485 | 3.3794          |
| 3.2264        | 4.0   | 1980 | 3.2874          |
| 3.1179        | 5.0   | 2475 | 3.2294          |
| 3.0343        | 6.0   | 2970 | 3.1836          |
| 2.9631        | 7.0   | 3465 | 3.1519          |
| 2.901         | 8.0   | 3960 | 3.1372          |
| 2.8443        | 9.0   | 4455 | 3.1182          |
| 2.7925        | 10.0  | 4950 | 3.1129          |
| 2.7436        | 11.0  | 5445 | 3.1106          |
| 2.6967        | 12.0  | 5940 | 3.1145          |
| 2.6527        | 13.0  | 6435 | 3.1148          |
| 2.6122        | 14.0  | 6930 | 3.1206          |
| 2.575         | 15.0  | 7425 | 3.1303          |
| 2.542         | 16.0  | 7920 | 3.1401          |
| 2.512         | 17.0  | 8415 | 3.1443          |
| 2.4866        | 18.0  | 8910 | 3.1503          |
| 2.4648        | 19.0  | 9405 | 3.1571          |
| 2.4479        | 20.0  | 9900 | 3.1615          |


### Framework versions

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