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w2v2-libri-10min
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: 2.1030
- Wer: 0.6113
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: 0.0003
- train_batch_size: 16
- 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
- training_steps: 2500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.1068 | 62.5 | 250 | 2.9012 | 1.0 |
| 0.6528 | 125.0 | 500 | 1.5705 | 0.6404 |
| 0.0697 | 187.5 | 750 | 1.7490 | 0.6570 |
| 0.0352 | 250.0 | 1000 | 2.0035 | 0.6252 |
| 0.033 | 312.5 | 1250 | 2.1108 | 0.6432 |
| 0.0176 | 375.0 | 1500 | 2.0904 | 0.6473 |
| 0.0072 | 437.5 | 1750 | 2.1286 | 0.6127 |
| 0.0048 | 500.0 | 2000 | 2.1334 | 0.6279 |
| 0.0043 | 562.5 | 2250 | 2.0559 | 0.6100 |
| 0.0027 | 625.0 | 2500 | 2.1030 | 0.6113 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 1.18.3
- Tokenizers 0.13.3
