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no_distil_librispeech_100_clean_6_attention
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2333.5361
- Wer: 1.1878
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: 2e-05
- 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_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8374.3469 | 0.75 | 100 | 2762.3215 | 1.0 |
| 4303.0578 | 1.49 | 200 | 2503.2461 | 1.0 |
| 4307.1169 | 2.24 | 300 | 2498.8477 | 1.0 |
| 4236.7513 | 2.99 | 400 | 2489.2173 | 1.0 |
| 4242.8606 | 3.73 | 500 | 2405.0710 | 1.0801 |
| 4132.4353 | 4.48 | 600 | 2333.5361 | 1.1878 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.0
- Tokenizers 0.11.0
