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zh-xlsr3
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: 1.9402
- Cer: 0.4156
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 2.9893 | 6.08 | 2000 | 2.4704 | 0.5279 |
| 1.9656 | 12.16 | 4000 | 1.9401 | 0.4185 |
| 1.4552 | 18.24 | 6000 | 1.9569 | 0.4053 |
| 1.1015 | 24.32 | 8000 | 2.1087 | 0.3982 |
| 0.8761 | 30.4 | 10000 | 2.2972 | 0.4272 |
| 0.6962 | 36.47 | 12000 | 2.4389 | 0.4153 |
| 0.5562 | 42.55 | 14000 | 2.5137 | 0.4164 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
