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prova_codice_01
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3804
- Wer: 0.2560
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6378 | 3.39 | 400 | 0.3791 | 0.3805 |
| 0.2294 | 6.78 | 800 | 0.3722 | 0.3490 |
| 0.1374 | 10.17 | 1200 | 0.3786 | 0.3267 |
| 0.0994 | 13.56 | 1600 | 0.3894 | 0.3170 |
| 0.0759 | 16.95 | 2000 | 0.3841 | 0.2858 |
| 0.0567 | 20.34 | 2400 | 0.3869 | 0.2764 |
| 0.0441 | 23.73 | 2800 | 0.3841 | 0.2602 |
| 0.0355 | 27.12 | 3200 | 0.3804 | 0.2560 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
