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wav2vec2-base-checkpoint-6
This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-5 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.9738
- Wer: 0.3323
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 |
|---|---|---|---|---|
| 0.3435 | 1.82 | 1000 | 0.5637 | 0.3419 |
| 0.2599 | 3.65 | 2000 | 0.5804 | 0.3473 |
| 0.2043 | 5.47 | 3000 | 0.6481 | 0.3474 |
| 0.1651 | 7.3 | 4000 | 0.6937 | 0.3452 |
| 0.1376 | 9.12 | 5000 | 0.7221 | 0.3429 |
| 0.118 | 10.95 | 6000 | 0.7634 | 0.3441 |
| 0.105 | 12.77 | 7000 | 0.7789 | 0.3444 |
| 0.0925 | 14.6 | 8000 | 0.8209 | 0.3444 |
| 0.0863 | 16.42 | 9000 | 0.8293 | 0.3440 |
| 0.0756 | 18.25 | 10000 | 0.8553 | 0.3412 |
| 0.0718 | 20.07 | 11000 | 0.9006 | 0.3430 |
| 0.0654 | 21.9 | 12000 | 0.9541 | 0.3458 |
| 0.0605 | 23.72 | 13000 | 0.9400 | 0.3350 |
| 0.0552 | 25.55 | 14000 | 0.9547 | 0.3363 |
| 0.0543 | 27.37 | 15000 | 0.9715 | 0.3348 |
| 0.0493 | 29.2 | 16000 | 0.9738 | 0.3323 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
