---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: base_sami_22k_cont_pt_ftpseudo_wr15
  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. -->

# base_sami_22k_cont_pt_ftpseudo_wr15

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 279.1175
- Wer: 0.5077
- Cer: 0.1722

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 2898.1974     | 1.0   | 3628  | 315.9604        | 0.6330 | 0.1893 |
| 757.7022      | 2.0   | 7256  | 279.5220        | 0.5065 | 0.1721 |
| 662.3705      | 3.0   | 10884 | 301.2926        | 0.5251 | 0.1764 |
| 647.4321      | 4.0   | 14512 | 309.8589        | 0.5494 | 0.2027 |
| 659.7851      | 5.0   | 18140 | 309.3199        | 0.5862 | 0.2070 |
| 692.9787      | 6.0   | 21768 | 373.3183        | 0.6487 | 0.2412 |
| 739.3389      | 7.0   | 25396 | 379.1962        | 0.6765 | 0.2556 |
| 786.0181      | 8.0   | 29024 | 414.1455        | 0.7022 | 0.2729 |
| 827.0145      | 9.0   | 32652 | 441.2162        | 0.7871 | 0.3400 |
| 849.8929      | 10.0  | 36280 | 422.3855        | 0.7259 | 0.2963 |
| 830.547       | 11.0  | 39908 | 426.6281        | 0.7506 | 0.3046 |
| 803.7191      | 12.0  | 43536 | 418.4753        | 0.7314 | 0.2984 |


### Framework versions

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