<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
finetune_teacher_noisy_mozilla_50_epochs_take-1
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.3771
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 156.5412 | 10.31 | 1000 | inf | 0.4495 |
| 116.825 | 20.61 | 2000 | inf | 0.4151 |
| 88.1673 | 30.92 | 3000 | inf | 0.3941 |
| 65.9659 | 41.24 | 4000 | inf | 0.3771 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2
