---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: base_sami_22k_cont_pt_ftpseudo_wr20
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# base_sami_22k_cont_pt_ftpseudo_wr20

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 271.5626
- Wer: 0.4858
- Cer: 0.1540

## 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: 0.2
- num_epochs: 60.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 2875.4683     | 1.0   | 3628  | 287.1173        | 0.5699 | 0.1733 |
| 758.2716      | 2.0   | 7256  | 272.0594        | 0.4882 | 0.1551 |
| 644.8381      | 3.0   | 10884 | 290.3244        | 0.5062 | 0.1729 |
| 609.5405      | 4.0   | 14512 | 257.9622        | 0.5174 | 0.1867 |
| 606.3339      | 5.0   | 18140 | 296.2997        | 0.5668 | 0.2280 |
| 619.5554      | 6.0   | 21768 | 324.2591        | 0.5901 | 0.2188 |
| 646.4168      | 7.0   | 25396 | 341.2834        | 0.5953 | 0.2440 |
| 667.3437      | 8.0   | 29024 | 361.0744        | 0.6283 | 0.2255 |
| 693.7482      | 9.0   | 32652 | 364.4579        | 0.6597 | 0.2685 |
| 733.3208      | 10.0  | 36280 | 409.5368        | 0.7001 | 0.2802 |
| 780.5633      | 11.0  | 39908 | 410.3908        | 0.7154 | 0.2849 |
| 813.6104      | 12.0  | 43536 | 419.5198        | 0.7614 | 0.3089 |


### Framework versions

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