---
language:
- gl
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- wer
model-index:
- name: Whisper Large-V2 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: 5.987858719646799
---

<!-- 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 Galician

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_13_0 gl dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3601
- Wer: 5.9879

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0185        | 4.01  | 1000  | 0.1896          | 6.3569 |
| 0.0067        | 9.01  | 2000  | 0.2083          | 6.3862 |
| 0.0038        | 14.01 | 3000  | 0.2291          | 6.4621 |
| 0.0022        | 19.01 | 4000  | 0.2412          | 6.4794 |
| 0.0013        | 24.01 | 5000  | 0.2515          | 6.4673 |
| 0.0023        | 29.01 | 6000  | 0.2570          | 6.6432 |
| 0.0018        | 34.01 | 7000  | 0.2474          | 6.6380 |
| 0.0017        | 39.01 | 8000  | 0.2530          | 6.9312 |
| 0.0001        | 44.01 | 9000  | 0.2758          | 6.2379 |
| 0.0001        | 49.01 | 10000 | 0.2952          | 6.1241 |
| 0.0001        | 54.01 | 11000 | 0.3056          | 6.0499 |
| 0.0           | 59.01 | 12000 | 0.3152          | 5.9948 |
| 0.0           | 64.01 | 13000 | 0.3244          | 6.0310 |
| 0.0           | 69.01 | 14000 | 0.3336          | 6.0586 |
| 0.0           | 74.01 | 15000 | 0.3428          | 6.0344 |
| 0.0           | 79.01 | 16000 | 0.3518          | 6.0017 |
| 0.0           | 84.01 | 17000 | 0.3601          | 5.9879 |
| 0.0           | 89.01 | 18000 | 0.3675          | 6.0103 |
| 0.0           | 94.01 | 19000 | 0.3729          | 6.0068 |
| 0.0           | 99.01 | 20000 | 0.3753          | 6.0172 |


### Framework versions

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