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dgx1_distil_w2v2_base_mozilla_12_to_6_batch_16_epoch_50_try4
This model is a fine-tuned version of rohitp1/dgx1_distil_w2v2_base_mozilla_12_to_6_batch_16_epoch_50_try3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 43.2001
- Wer: 0.3569
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: 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 |
|---|---|---|---|---|
| 126.3084 | 4.41 | 150 | 44.4592 | 0.3532 |
| 118.4174 | 8.82 | 300 | 45.5311 | 0.3651 |
| 122.1544 | 13.23 | 450 | 41.0647 | 0.3677 |
| 141.5393 | 17.64 | 600 | 43.9298 | 0.3685 |
| 135.1174 | 22.06 | 750 | 41.6142 | 0.3668 |
| 126.6081 | 26.47 | 900 | 43.2001 | 0.3569 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2
