|
--- |
|
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 Tiny It 3 - Gianluca Ruberto |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: it |
|
split: test[:10%] |
|
args: 'config: hi, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 43.233499722684414 |
|
--- |
|
|
|
|
|
# Whisper Tiny It 3 - Gianluca Ruberto |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.711673 |
|
- Wer: 43.233500 |
|
|
|
## Model description |
|
|
|
This model is the openai whisper small transformer adapted for Italian audio to text transcription. This model has weight decay set to 0.1 to cope with overfitting. |
|
|
|
## Intended uses & limitations |
|
|
|
The model is available through its [HuggingFace web app](https://huggingface.co/spaces/GIanlucaRub/whisper-it) |
|
|
|
## Training and evaluation data |
|
|
|
Data used for training is the initial 10% of train and validation of [Italian Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/it/train) 11.0 from Mozilla Foundation. |
|
The dataset used for evaluation is the initial 10% of test of Italian Common Voice. |
|
Weight decay showed to have slightly better result also on the evaluation dataset. |
|
|
|
## Training procedure |
|
|
|
After loading the pre trained model, it has been trained on the dataset. |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- 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: 4000 |
|
- mixed_precision_training: Native AMP |
|
- weight_decay: 0.1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.5837 | 0.95 | 1000 | 0.790374 | 50.2981 | |
|
| 0.4183 | 1.91 | 2000 | 0.730100 | 45.4174 | |
|
| 0.3147 | 2.86 | 3000 | 0.713152 | 44.3150 | |
|
| 0.2670 | 3.82 | 4000 | 0.711673 | 43.2335 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
