xlsr-norm-nmcpc
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0024
- Wer: 0.2617
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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
4.7523 | 7.2727 | 200 | 3.0692 | 0.9979 |
2.8525 | 14.5455 | 400 | 2.2999 | 1.0 |
1.4069 | 21.8182 | 600 | 0.3338 | 0.4723 |
0.3664 | 29.0909 | 800 | 0.0912 | 0.3851 |
0.1875 | 36.3636 | 1000 | 0.0453 | 0.3255 |
0.1165 | 43.6364 | 1200 | 0.0302 | 0.3 |
0.0959 | 50.9091 | 1400 | 0.0145 | 0.2766 |
0.0627 | 58.1818 | 1600 | 0.0107 | 0.2723 |
0.0496 | 65.4545 | 1800 | 0.0108 | 0.2553 |
0.037 | 72.7273 | 2000 | 0.0034 | 0.2596 |
0.0309 | 80.0 | 2200 | 0.0029 | 0.2617 |
0.0275 | 87.2727 | 2400 | 0.0026 | 0.2574 |
0.0218 | 94.5455 | 2600 | 0.0024 | 0.2617 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for susmitabhatt/xlsr-norm-nmcpc
Base model
facebook/wav2vec2-large-xlsr-53
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