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DynamicWav2Vec_TEST_15
This model is a fine-tuned version of joorock12/wav2vec2-large-xlsr-italian on the common_voice_1_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0991
- Wer: 0.1932
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: 0.0001
- train_batch_size: 8
- 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
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2942 | 1.67 | 500 | 0.0745 | 0.1919 |
| 0.2091 | 3.34 | 1000 | 0.0799 | 0.1954 |
| 0.1895 | 5.02 | 1500 | 0.0818 | 0.1958 |
| 0.1673 | 6.69 | 2000 | 0.0891 | 0.1987 |
| 0.1493 | 8.36 | 2500 | 0.0853 | 0.2004 |
| 0.1389 | 10.03 | 3000 | 0.0896 | 0.1982 |
| 0.135 | 11.71 | 3500 | 0.0954 | 0.2023 |
| 0.1246 | 13.38 | 4000 | 0.0947 | 0.1979 |
| 0.1212 | 15.05 | 4500 | 0.0943 | 0.1995 |
| 0.1123 | 16.72 | 5000 | 0.0962 | 0.2001 |
| 0.1073 | 18.39 | 5500 | 0.1025 | 0.2047 |
| 0.1014 | 20.07 | 6000 | 0.1034 | 0.1983 |
| 0.0967 | 21.74 | 6500 | 0.1006 | 0.1976 |
| 0.0968 | 23.41 | 7000 | 0.0969 | 0.1966 |
| 0.092 | 25.08 | 7500 | 0.0980 | 0.1950 |
| 0.0905 | 26.76 | 8000 | 0.0991 | 0.1943 |
| 0.0882 | 28.43 | 8500 | 0.0991 | 0.1932 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
