wav2vec2-1b-E30
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7150
- Cer: 16.9467
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 9.1231 | 0.8602 | 200 | 2.2073 | 46.5049 |
| 1.2107 | 1.7204 | 400 | 1.1967 | 26.6095 |
| 0.7167 | 2.5806 | 600 | 0.9255 | 21.9807 |
| 0.4842 | 3.4409 | 800 | 0.8168 | 19.2375 |
| 0.3261 | 4.3011 | 1000 | 0.7150 | 16.9467 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1
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Model tree for Gummybear05/wav2vec2-1b-E30
Base model
facebook/wav2vec2-xls-r-1b