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---
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
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