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1-epochs61.0-char-based-freeze_cnn-dropout0.1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0164
- Wer: 0.5324
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: 2e-05
- train_batch_size: 10
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 40
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 61.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4352 | 5.11 | 2500 | 3.6464 | 1.0 |
| 1.9084 | 10.22 | 5000 | 1.7450 | 0.9275 |
| 1.0531 | 15.34 | 7500 | 1.1180 | 0.6646 |
| 0.8217 | 20.45 | 10000 | 1.1415 | 0.6048 |
| 0.7405 | 25.56 | 12500 | 1.0814 | 0.5776 |
| 0.6432 | 30.67 | 15000 | 1.0632 | 0.5611 |
| 0.6507 | 35.79 | 17500 | 1.0200 | 0.5427 |
| 0.5533 | 40.9 | 20000 | 1.0019 | 0.5367 |
| 0.561 | 46.01 | 22500 | 1.0246 | 0.5392 |
| 0.5292 | 51.12 | 25000 | 0.9992 | 0.5245 |
| 0.5085 | 56.24 | 27500 | 1.0164 | 0.5324 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.14.1
