---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_checkpoints6
  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. -->

# whisper_checkpoints6

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2877
- Wer: 23.6973

## 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: 1e-05
- train_batch_size: 24
- 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_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.009         | 2.5510  | 1000 | 0.0302          | 0.0380  |
| 0.1874        | 6.3291  | 2000 | 0.2390          | 34.0874 |
| 0.111         | 9.4937  | 3000 | 0.2581          | 29.7236 |
| 0.0599        | 12.6582 | 4000 | 0.2877          | 23.6973 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0