hubert-base-libri-pruning-v2-testing5-final
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1059
- Wer: 0.9860
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
9.0283 | 1.12 | 500 | 9.7978 | 1.0000 |
6.3972 | 2.24 | 1000 | 5.9898 | 0.9997 |
4.3003 | 3.36 | 1500 | 4.2828 | 0.9978 |
3.5832 | 4.48 | 2000 | 3.6687 | 0.9973 |
3.2064 | 5.61 | 2500 | 3.2093 | 0.9968 |
2.8452 | 6.73 | 3000 | 2.7168 | 0.9949 |
2.5056 | 7.85 | 3500 | 2.3288 | 0.9913 |
2.2665 | 8.97 | 4000 | 2.1059 | 0.9860 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3
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