---
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: whisper-base-mixed_basewhisper_v1.1
  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-base-mixed_basewhisper_v1.1

This model was trained from scratch on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Cer: 47.2222

## 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: 16
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0           | 1000.0 | 1000 | 0.0000          | 69.4444 |
| 0.0           | 2000.0 | 2000 | 0.0000          | 44.4444 |
| 0.0           | 3000.0 | 3000 | 0.0000          | 47.2222 |
| 0.0           | 4000.0 | 4000 | 0.0000          | 47.2222 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.12.0
- Tokenizers 0.15.0