---
license: apache-2.0
base_model: carlot/whisper-base-withoutnoise
tags:
- generated_from_trainer
datasets:
- audiofolder
model-index:
- name: whisper-base-mixed_v1
  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_v1

This model is a fine-tuned version of [carlot/whisper-base-withoutnoise](https://huggingface.co./carlot/whisper-base-withoutnoise) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2602
- Cer: 12.0846

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0003        | 125.0 | 1000 | 0.2491          | 11.2790 |
| 0.0001        | 250.0 | 2000 | 0.2513          | 11.2790 |
| 0.0001        | 375.0 | 3000 | 0.2576          | 11.7825 |
| 0.0001        | 500.0 | 4000 | 0.2602          | 12.0846 |


### Framework versions

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