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my_awesome_asr_mind_model
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4146
- Wer: 1.0
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 30
- training_steps: 300
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 50.2402 | 6.0 | 30 | 35.6862 | 1.0 |
| 30.6841 | 12.0 | 60 | 6.6236 | 1.0 |
| 8.3238 | 18.0 | 90 | 4.0080 | 1.0 |
| 4.663 | 24.0 | 120 | 3.7875 | 1.0 |
| 3.986 | 30.0 | 150 | 3.6613 | 1.0 |
| 3.9205 | 36.0 | 180 | 3.5573 | 1.0 |
| 3.7835 | 42.0 | 210 | 3.4962 | 1.0 |
| 3.7003 | 48.0 | 240 | 3.4505 | 1.0 |
| 3.6903 | 54.0 | 270 | 3.4273 | 1.0 |
| 3.6331 | 60.0 | 300 | 3.4146 | 1.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
