Whisper Large v2 Italian
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 it dataset. It achieves the following results on the evaluation set:
- Loss: 0.1332
- Wer: 4.5576
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
- distributed_type: multi-GPU
- 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: 6000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1684 | 0.17 | 1000 | 0.1620 | 6.4620 |
| 0.1174 | 0.33 | 2000 | 0.1418 | 5.5663 |
| 0.069 | 1.1 | 3000 | 0.1400 | 5.2865 |
| 0.0649 | 1.27 | 4000 | 0.1315 | 4.8932 |
| 0.0334 | 2.04 | 5000 | 0.1368 | 4.6845 |
| 0.037 | 2.21 | 6000 | 0.1332 | 4.5576 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Downloads last month
- 32
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for EdoAbati/whisper-large-v2-it
Base model
openai/whisper-large-v2Dataset used to train EdoAbati/whisper-large-v2-it
Spaces using EdoAbati/whisper-large-v2-it 2
Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 ittest set self-reported4.558