---
language:
- gl
license: apache-2.0
base_model: openai/whisper-medium
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Medium Galician
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_13_0 gl
      type: mozilla-foundation/common_voice_13_0
      config: gl
      split: test
      args: gl
    metrics:
    - name: Wer
      type: wer
      value: 7.122654525386314
---

<!-- 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 Medium Galician

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_13_0 gl dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3196
- Wer: 7.1227

## 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: 64
- eval_batch_size: 32
- 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: 10000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0124        | 4.02  | 1000  | 0.2194          | 7.5383 |
| 0.0027        | 9.02  | 2000  | 0.2400          | 7.3382 |
| 0.0019        | 14.02 | 3000  | 0.2426          | 7.4055 |
| 0.0011        | 19.02 | 4000  | 0.2689          | 7.3520 |
| 0.0014        | 24.02 | 5000  | 0.2849          | 7.5314 |
| 0.0004        | 29.02 | 6000  | 0.2932          | 7.2589 |
| 0.0001        | 34.02 | 7000  | 0.3069          | 7.1485 |
| 0.0001        | 39.02 | 8000  | 0.3143          | 7.1485 |
| 0.0001        | 44.02 | 9000  | 0.3196          | 7.1227 |
| 0.0001        | 49.02 | 10000 | 0.3218          | 7.1244 |


### Framework versions

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