WAV2VEC2_CAPSTONE_MODEL
This model is a fine-tuned version of facebook/wav2vec2-base on a subset of the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3952
- Accuracy: 0.9098
- F1 score: 0.9097
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 score |
|---|---|---|---|---|---|
| 0.9339 | 1.0 | 776 | 1.4214 | 0.7162 | 0.7094 |
| 0.5663 | 2.0 | 1552 | 1.0182 | 0.8318 | 0.8277 |
| 0.4408 | 3.0 | 2328 | 0.6117 | 0.8795 | 0.8784 |
| 0.3521 | 4.0 | 3105 | 0.5092 | 0.8998 | 0.9001 |
| 0.2305 | 5.0 | 3881 | 0.3896 | 0.9004 | 0.9013 |
| 0.1219 | 6.0 | 4657 | 0.3096 | 0.9196 | 0.9194 |
| 0.0672 | 6.99 | 3591 | 0.3952 | 0.9098 | 0.9097 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Base model
facebook/wav2vec2-base