---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_final
  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_final

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9410
- Wer: 70.3762

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.033         | 2.2026 | 500  | 0.7808          | 70.9248 |
| 0.0058        | 4.4053 | 1000 | 0.8736          | 71.2047 |
| 0.0008        | 6.6079 | 1500 | 0.9240          | 70.6337 |
| 0.0002        | 8.8106 | 2000 | 0.9410          | 70.3762 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1