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psst_batch_size_8_base_model
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6856
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: 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: 100
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 13.113 | 3.33 | 100 | 3.6542 |
| 3.9221 | 6.67 | 200 | 3.6851 |
| 3.8468 | 10.0 | 300 | 3.7162 |
| 3.7095 | 13.33 | 400 | 3.6988 |
| 3.6987 | 16.67 | 500 | 3.6870 |
| 3.7247 | 20.0 | 600 | 3.6951 |
| 3.6922 | 23.33 | 700 | 3.6682 |
| 3.6862 | 26.67 | 800 | 3.6812 |
| 3.6838 | 30.0 | 900 | 3.6856 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
