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wav2vec2-large-xlsr-53-Total
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: 0.2814
- Wer: 0.2260
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: 0.0001
- 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: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
2.9157 | 0.2 | 400 | 2.8204 | 0.9707 |
0.9554 | 0.4 | 800 | 0.5295 | 0.5046 |
0.7585 | 0.6 | 1200 | 0.4007 | 0.3850 |
0.7288 | 0.8 | 1600 | 0.3632 | 0.3447 |
0.6792 | 1.0 | 2000 | 0.3433 | 0.3216 |
0.6085 | 1.2 | 2400 | 0.3254 | 0.2928 |
0.6225 | 1.4 | 2800 | 0.3161 | 0.2832 |
0.6183 | 1.6 | 3200 | 0.3111 | 0.2721 |
0.5947 | 1.8 | 3600 | 0.2969 | 0.2615 |
0.5953 | 2.0 | 4000 | 0.2912 | 0.2515 |
0.5358 | 2.2 | 4400 | 0.2920 | 0.2501 |
0.5535 | 2.4 | 4800 | 0.2939 | 0.2538 |
0.5408 | 2.6 | 5200 | 0.2854 | 0.2452 |
0.5272 | 2.8 | 5600 | 0.2816 | 0.2434 |
0.5248 | 3.0 | 6000 | 0.2755 | 0.2354 |
0.4923 | 3.2 | 6400 | 0.2795 | 0.2353 |
0.489 | 3.4 | 6800 | 0.2767 | 0.2330 |
0.4932 | 3.6 | 7200 | 0.2821 | 0.2335 |
0.4841 | 3.8 | 7600 | 0.2756 | 0.2349 |
0.4794 | 4.0 | 8000 | 0.2751 | 0.2265 |
0.444 | 4.2 | 8400 | 0.2809 | 0.2283 |
0.4533 | 4.4 | 8800 | 0.2804 | 0.2312 |
0.4563 | 4.6 | 9200 | 0.2830 | 0.2256 |
0.4498 | 4.8 | 9600 | 0.2819 | 0.2251 |
0.4532 | 5.0 | 10000 | 0.2814 | 0.2260 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3