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subh_w2lm_base_distill_noisy_teacher_mozilla_epochs_50_batch_16
This model is a fine-tuned version of rohitp1/ws_w2lm_base_plus_finetune_teacher_noise_mozilla_100_epochs_batch_8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4070
- Wer: 0.3226
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: 16
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1283 | 7.31 | 250 | 0.3295 | 0.3266 |
| 0.1111 | 14.63 | 500 | 0.3444 | 0.3236 |
| 0.0939 | 21.94 | 750 | 0.3664 | 0.3236 |
| 0.0826 | 29.26 | 1000 | 0.3828 | 0.3224 |
| 0.0751 | 36.57 | 1250 | 0.3977 | 0.3223 |
| 0.0703 | 43.89 | 1500 | 0.4070 | 0.3226 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2
