|
--- |
|
language: |
|
- it |
|
license: apache-2.0 |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Italian |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
args: 'config: it, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 17.391605006569392 |
|
--- |
|
# Whisper Small Italian |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1185 |
|
- Wer: 17.3916 |
|
|
|
## 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 |
|
- gradient_accumulation_steps: 1 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 954 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Step | Validation Loss | Wer | |
|
|:-------------:|:----:|:---------------:|:-------:| |
|
| 1.4744 | 100 | 1.1852 | 117.6059 | |
|
| 0.7241 | 200 | 0.7452 | 79.7386 | |
|
| 0.3321 | 300 | 0.3215 | 21.0497 | |
|
| 0.2930 | 400 | 0.3030 | 20.2129 | |
|
| 0.2698 | 500 | 0.2982 | 19.7635 | |
|
| 0.2453 | 600 | 0.2898 | 19.0097 | |
|
| 0.2338 | 700 | 0.2768 | 18.7054 | |
|
| 0.2402 | 800 | 0.2646 | 18.2214 | |
|
| 0.2340 | 900 | 0.2581 | 17.3916 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.0.dev0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
