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wav2vec2-base-checkpoint-14
This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-13 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.2822
- Wer: 0.4068
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: 32
- 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1996 | 1.59 | 1000 | 0.7181 | 0.4079 |
| 0.1543 | 3.17 | 2000 | 0.7735 | 0.4113 |
| 0.1171 | 4.76 | 3000 | 0.8152 | 0.4045 |
| 0.0969 | 6.35 | 4000 | 0.8575 | 0.4142 |
| 0.082 | 7.94 | 5000 | 0.9005 | 0.4124 |
| 0.074 | 9.52 | 6000 | 0.9232 | 0.4151 |
| 0.0653 | 11.11 | 7000 | 0.9680 | 0.4223 |
| 0.0587 | 12.7 | 8000 | 1.0633 | 0.4232 |
| 0.0551 | 14.29 | 9000 | 1.0875 | 0.4171 |
| 0.0498 | 15.87 | 10000 | 1.0281 | 0.4105 |
| 0.0443 | 17.46 | 11000 | 1.2164 | 0.4274 |
| 0.0421 | 19.05 | 12000 | 1.1868 | 0.4191 |
| 0.0366 | 20.63 | 13000 | 1.1678 | 0.4173 |
| 0.0366 | 22.22 | 14000 | 1.2444 | 0.4187 |
| 0.0346 | 23.81 | 15000 | 1.2042 | 0.4169 |
| 0.0316 | 25.4 | 16000 | 1.3019 | 0.4127 |
| 0.0296 | 26.98 | 17000 | 1.2001 | 0.4081 |
| 0.0281 | 28.57 | 18000 | 1.2822 | 0.4068 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
