zhko_xlsr_run1
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the ./SAMPLE_SPEECH.PY - NA dataset. It achieves the following results on the evaluation set:
- Loss: 2.1948
- Cer: 0.4465
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 5.0444 | 1.0 | 6593 | 4.6695 | 0.8764 |
| 3.2619 | 2.0 | 13186 | 2.9759 | 0.6249 |
| 2.7859 | 3.0 | 19779 | 2.5370 | 0.5421 |
| 2.3947 | 4.0 | 26372 | 2.3582 | 0.5159 |
| 2.1313 | 5.0 | 32965 | 2.2462 | 0.4872 |
| 1.8083 | 6.0 | 39558 | 2.2104 | 0.4696 |
| 1.5209 | 7.0 | 46151 | 2.1621 | 0.4661 |
| 1.3735 | 8.0 | 52744 | 2.2031 | 0.4582 |
| 1.1354 | 9.0 | 59337 | 2.1740 | 0.4492 |
| 1.0788 | 10.0 | 65930 | 2.1948 | 0.4465 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
facebook/wav2vec2-large-xlsr-53