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libri-finetune-6-layers-transformer
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 83.8115
- Wer: 0.7450
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
15064.3113 | 2.99 | 400 | 5870.5229 | 0.9999 |
7699.3169 | 5.97 | 800 | 4746.7100 | 0.9999 |
6725.2825 | 8.96 | 1200 | 2085.7102 | 1.0483 |
2585.5492 | 11.94 | 1600 | 627.4510 | 0.8690 |
1256.1203 | 14.93 | 2000 | 305.7397 | 0.8220 |
829.551 | 17.91 | 2400 | 195.8744 | 0.8150 |
562.8857 | 20.9 | 2800 | 134.9562 | 0.8043 |
383.4462 | 23.88 | 3200 | 103.3252 | 0.7821 |
251.6083 | 26.87 | 3600 | 83.2899 | 0.7851 |
176.5321 | 29.85 | 4000 | 72.0544 | 0.7668 |
107.0474 | 32.84 | 4400 | 81.2677 | 0.7692 |
47.8587 | 35.82 | 4800 | 61.3930 | 0.7735 |
23.0181 | 38.81 | 5200 | 77.2446 | 0.7795 |
-41.5376 | 41.79 | 5600 | 55.3390 | 0.7637 |
-82.3179 | 44.78 | 6000 | 60.2555 | 0.7582 |
-89.828 | 47.76 | 6400 | 68.0762 | 0.7566 |
-132.0839 | 50.75 | 6800 | 78.1840 | 0.7478 |
-149.8906 | 53.73 | 7200 | 87.0740 | 0.7535 |
-181.8106 | 56.72 | 7600 | 83.8115 | 0.7450 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1