---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cds_w_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_w_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: 3.1756

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.588         | 1.0   | 496  | 3.5284          |
| 3.3226        | 2.0   | 992  | 3.3046          |
| 3.1682        | 3.0   | 1488 | 3.2201          |
| 3.0809        | 4.0   | 1984 | 3.1739          |
| 3.0157        | 5.0   | 2480 | 3.1432          |
| 2.9617        | 6.0   | 2976 | 3.1231          |
| 2.9134        | 7.0   | 3472 | 3.1108          |
| 2.8706        | 8.0   | 3968 | 3.1021          |
| 2.828         | 9.0   | 4464 | 3.0960          |
| 2.7883        | 10.0  | 4960 | 3.0958          |
| 2.7484        | 11.0  | 5456 | 3.0989          |
| 2.7102        | 12.0  | 5952 | 3.1046          |
| 2.6743        | 13.0  | 6448 | 3.1135          |
| 2.6381        | 14.0  | 6944 | 3.1234          |
| 2.6059        | 15.0  | 7440 | 3.1337          |
| 2.5728        | 16.0  | 7936 | 3.1445          |
| 2.5441        | 17.0  | 8432 | 3.1567          |
| 2.5208        | 18.0  | 8928 | 3.1650          |
| 2.5005        | 19.0  | 9424 | 3.1699          |
| 2.4848        | 20.0  | 9920 | 3.1756          |


### Framework versions

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