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wav2vec2-base_toy_train_data_fast_10pct
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3087
- Wer: 0.7175
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.1309 | 1.05 | 250 | 3.4541 | 0.9982 |
| 3.0499 | 2.1 | 500 | 3.0231 | 0.9982 |
| 1.4839 | 3.15 | 750 | 1.4387 | 0.9257 |
| 1.1697 | 4.2 | 1000 | 1.3729 | 0.8792 |
| 0.9353 | 5.25 | 1250 | 1.2608 | 0.8445 |
| 0.7298 | 6.3 | 1500 | 1.1867 | 0.8052 |
| 0.6418 | 7.35 | 1750 | 1.2414 | 0.7997 |
| 0.5698 | 8.4 | 2000 | 1.2240 | 0.7766 |
| 0.5084 | 9.45 | 2250 | 1.1910 | 0.7687 |
| 0.4912 | 10.5 | 2500 | 1.2241 | 0.7617 |
| 0.4144 | 11.55 | 2750 | 1.2412 | 0.7477 |
| 0.4153 | 12.6 | 3000 | 1.2736 | 0.7511 |
| 0.405 | 13.65 | 3250 | 1.2827 | 0.7328 |
| 0.3852 | 14.7 | 3500 | 1.1981 | 0.7331 |
| 0.3829 | 15.75 | 3750 | 1.3035 | 0.7347 |
| 0.3538 | 16.81 | 4000 | 1.3003 | 0.7240 |
| 0.3385 | 17.86 | 4250 | 1.3354 | 0.7304 |
| 0.3108 | 18.91 | 4500 | 1.2983 | 0.7229 |
| 0.3037 | 19.96 | 4750 | 1.3087 | 0.7175 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu102
- Datasets 2.0.0
- Tokenizers 0.11.6
