---
language:
- eu
license: apache-2.0
base_model: zuazo/whisper-large-v2-es
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Large-V2 Basque
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_13_0 eu
      type: mozilla-foundation/common_voice_13_0
      config: eu
      split: test
      args: eu
    metrics:
    - name: Wer
      type: wer
      value: 11.839280651302198
---

<!-- 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 Large-V2 Basque

This model is a fine-tuned version of [zuazo/whisper-large-v2-es](https://huggingface.co/zuazo/whisper-large-v2-es) on the mozilla-foundation/common_voice_13_0 eu dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4245
- Wer: 11.8393

## 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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0293        | 4.01  | 1000  | 0.2732          | 15.9484 |
| 0.0065        | 9.01  | 2000  | 0.3051          | 14.1136 |
| 0.0033        | 14.01 | 3000  | 0.3101          | 13.2407 |
| 0.0041        | 19.0  | 4000  | 0.3136          | 13.8300 |
| 0.0013        | 24.0  | 5000  | 0.3179          | 12.7364 |
| 0.0046        | 29.0  | 6000  | 0.3210          | 13.6640 |
| 0.0015        | 33.01 | 7000  | 0.3262          | 12.8093 |
| 0.0027        | 38.01 | 8000  | 0.3210          | 12.9612 |
| 0.0005        | 43.01 | 9000  | 0.3376          | 12.7850 |
| 0.0007        | 48.01 | 10000 | 0.3361          | 12.9126 |
| 0.0002        | 53.0  | 11000 | 0.3559          | 12.3739 |
| 0.0001        | 58.0  | 12000 | 0.3550          | 12.3355 |
| 0.0           | 63.0  | 13000 | 0.3852          | 12.1147 |
| 0.0           | 67.01 | 14000 | 0.3974          | 12.0134 |
| 0.0           | 72.01 | 15000 | 0.4072          | 11.9446 |
| 0.0           | 77.01 | 16000 | 0.4162          | 11.9203 |
| 0.0           | 82.01 | 17000 | 0.4245          | 11.8393 |
| 0.0           | 87.0  | 18000 | 0.4319          | 11.8616 |
| 0.0           | 92.0  | 19000 | 0.4375          | 11.8535 |
| 0.0           | 97.0  | 20000 | 0.4400          | 11.8656 |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3