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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: 3.2641
- 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: 0.001
- 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
- training_steps: 30
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
51.824 | 1.0 | 5 | 42.3534 | 1.0 |
48.753 | 2.0 | 10 | 42.3534 | 1.0 |
32.07 | 3.0 | 15 | 3.8432 | 1.0 |
3.7454 | 4.0 | 20 | 3.2294 | 1.0 |
3.2491 | 5.0 | 25 | 3.2486 | 1.0 |
3.1421 | 6.0 | 30 | 3.2641 | 1.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3