wav2vec2-E30
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: 4.3878
- Cer: 97.3090
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 27.3113 | 0.4301 | 200 | 4.7966 | 100.0 |
| 4.5795 | 0.8602 | 400 | 4.5932 | 100.0 |
| 4.5187 | 1.2903 | 600 | 4.5706 | 97.9965 |
| 4.4751 | 1.7204 | 800 | 4.5328 | 97.9260 |
| 4.4303 | 2.1505 | 1000 | 4.4883 | 97.9553 |
| 4.3387 | 2.5806 | 1200 | 4.3878 | 97.3090 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Gummybear05/wav2vec2-E30
Base model
facebook/wav2vec2-xls-r-300m