---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: shuff_100
  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. -->

# shuff_100

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 322.2777
- Wer: 0.6311
- Cer: 0.2590

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 60.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 2829.8126     | 1.0   | 3265  | 346.9778        | 0.7165 | 0.2613 |
| 761.7557      | 2.0   | 6530  | 242.2776        | 0.5436 | 0.2114 |
| 672.5873      | 3.0   | 9795  | 339.8657        | 0.5724 | 0.2624 |
| 668.1343      | 4.0   | 13060 | 278.7672        | 0.5458 | 0.2289 |
| 674.2274      | 5.0   | 16325 | 305.6685        | 0.6026 | 0.2488 |
| 707.3097      | 6.0   | 19590 | 285.1494        | 0.5852 | 0.2355 |
| 741.8663      | 7.0   | 22855 | 350.9450        | 0.6435 | 0.2659 |
| 764.1505      | 8.0   | 26120 | 320.6730        | 0.6421 | 0.2611 |
| 814.4658      | 9.0   | 29385 | 319.7635        | 0.6572 | 0.2670 |
| 842.7828      | 10.0  | 32650 | 375.5847        | 0.6620 | 0.2833 |
| 827.2463      | 11.0  | 35915 | 329.4790        | 0.6426 | 0.2613 |
| 812.5209      | 12.0  | 39180 | 322.2777        | 0.6311 | 0.2590 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0