|
--- |
|
language: |
|
- gl |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Tiny 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: validation |
|
args: gl |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 27.05703316847093 |
|
--- |
|
|
|
<!-- 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 Tiny Galician |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_13_0 gl dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6343 |
|
- Wer: 27.0570 |
|
|
|
## 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: 3.75e-05 |
|
- train_batch_size: 256 |
|
- eval_batch_size: 128 |
|
- 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: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.3105 | 23.26 | 1000 | 0.5440 | 30.7025 | |
|
| 0.0797 | 46.51 | 2000 | 0.5683 | 28.1984 | |
|
| 0.0326 | 69.77 | 3000 | 0.6091 | 27.9701 | |
|
| 0.0209 | 93.02 | 4000 | 0.6289 | 27.7176 | |
|
| 0.0172 | 116.28 | 5000 | 0.6343 | 27.0570 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
