w2v2-base-pretrained_lr1e-4_at0.4_da1
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: 6.1307
- Wer: 1.0580
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: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 14.7571 | 8.06 | 500 | 3.6451 | 1.0 |
| 1.7406 | 16.13 | 1000 | 3.2148 | 1.0448 |
| 0.2001 | 24.19 | 1500 | 4.3045 | 1.0345 |
| 0.0734 | 32.26 | 2000 | 5.3205 | 1.0516 |
| 0.0402 | 40.32 | 2500 | 5.5110 | 1.0477 |
| 0.0254 | 48.39 | 3000 | 5.8453 | 1.0554 |
| 0.0161 | 56.45 | 3500 | 6.1307 | 1.0580 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
facebook/wav2vec2-base