---
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: whisper-base-mixedv1.3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-base-mixedv1.3

This model was trained from scratch on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8720
- Cer: 32.0507

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0156        | 34.19  | 1000 | 0.8428          | 26.7480 |
| 0.0004        | 68.38  | 2000 | 0.8710          | 28.1558 |
| 0.0004        | 102.56 | 3000 | 0.8693          | 31.2529 |
| 0.0002        | 136.75 | 4000 | 0.8720          | 32.0507 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0