wav2vec2-ft-lre5-adm-ga2b16-st30k-v1
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-english on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6134
- Wer: 0.8517
- Cer: 0.5391
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 30000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
---|---|---|---|---|---|
3.3864 | 0.4165 | 1000 | 3.3717 | 1.0000 | 1.0000 |
3.2807 | 0.8330 | 2000 | 3.3671 | 1.0000 | 1.0000 |
3.2065 | 1.2495 | 3000 | 3.3041 | 1.0000 | 1.0000 |
3.2795 | 1.6660 | 4000 | 3.3424 | 1.0000 | 1.0000 |
3.2133 | 2.0825 | 5000 | 3.2879 | 1.0000 | 1.0000 |
3.2569 | 2.4990 | 6000 | 3.2769 | 1.0000 | 1.0000 |
3.2481 | 2.9155 | 7000 | 3.2827 | 1.0000 | 1.0000 |
3.2655 | 3.3319 | 8000 | 3.2646 | 1.0000 | 1.0000 |
3.1715 | 3.7484 | 9000 | 3.2621 | 1.0000 | 1.0000 |
3.1599 | 4.1649 | 10000 | 3.2614 | 1.0000 | 1.0000 |
3.1505 | 4.5814 | 11000 | 3.2472 | 1.0000 | 1.0000 |
3.1351 | 4.9979 | 12000 | 3.2505 | 1.0000 | 1.0000 |
3.1118 | 5.4144 | 13000 | 3.2238 | 1.0000 | 1.0000 |
3.0801 | 5.8309 | 14000 | 3.2087 | 1.0000 | 1.0000 |
3.0453 | 6.2474 | 15000 | 3.1482 | 1.0016 | 0.9997 |
2.94 | 6.6639 | 16000 | 3.0384 | 1.0019 | 0.9945 |
2.8007 | 7.0804 | 17000 | 2.9264 | 0.9625 | 0.7190 |
2.6634 | 7.4969 | 18000 | 2.7569 | 0.9169 | 0.5858 |
2.6073 | 7.9134 | 19000 | 2.7411 | 0.9060 | 0.5658 |
2.5534 | 8.3299 | 20000 | 2.6942 | 0.8823 | 0.5599 |
2.5361 | 8.7464 | 21000 | 2.6419 | 0.8698 | 0.5565 |
2.4455 | 9.1628 | 22000 | 2.6919 | 0.8755 | 0.5477 |
2.4651 | 9.5793 | 23000 | 2.6180 | 0.8565 | 0.5479 |
2.4103 | 9.9958 | 24000 | 2.6834 | 0.8702 | 0.5429 |
2.4038 | 10.4123 | 25000 | 2.6442 | 0.8590 | 0.5429 |
2.4045 | 10.8288 | 26000 | 2.6073 | 0.8510 | 0.5419 |
2.5098 | 11.2453 | 27000 | 2.6147 | 0.8542 | 0.5404 |
2.4072 | 11.6618 | 28000 | 2.6484 | 0.8558 | 0.5397 |
2.38 | 12.0783 | 29000 | 2.6061 | 0.8501 | 0.5397 |
2.3785 | 12.4948 | 30000 | 2.6134 | 0.8517 | 0.5391 |
Framework versions
- Transformers 4.52.3
- Pytorch 2.7.0+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1
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Base model
jonatasgrosman/wav2vec2-large-english