xlsr-big-kynnn
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: 0.0000
- Wer: 0.0571
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 |
---|---|---|---|---|
2.1593 | 1.6327 | 200 | 0.9001 | 0.6127 |
0.5422 | 3.2653 | 400 | 0.0827 | 0.1256 |
0.1415 | 4.8980 | 600 | 0.0325 | 0.0792 |
0.0749 | 6.5306 | 800 | 0.0092 | 0.0589 |
0.056 | 8.1633 | 1000 | 0.0181 | 0.0701 |
0.0432 | 9.7959 | 1200 | 0.0125 | 0.0591 |
0.0412 | 11.4286 | 1400 | 0.0063 | 0.0615 |
0.0425 | 13.0612 | 1600 | 0.0070 | 0.0854 |
0.0288 | 14.6939 | 1800 | 0.0069 | 0.0549 |
0.0308 | 16.3265 | 2000 | 0.0701 | 0.0802 |
0.0237 | 17.9592 | 2200 | 0.0009 | 0.0510 |
0.0213 | 19.5918 | 2400 | 0.0071 | 0.0553 |
0.0261 | 21.2245 | 2600 | 0.0039 | 0.0529 |
0.0229 | 22.8571 | 2800 | 0.0034 | 0.0545 |
0.0219 | 24.4898 | 3000 | 0.0049 | 0.0543 |
0.0176 | 26.1224 | 3200 | 0.0013 | 0.0549 |
0.0122 | 27.7551 | 3400 | 0.0013 | 0.0575 |
0.014 | 29.3878 | 3600 | 0.0041 | 0.0571 |
0.0146 | 31.0204 | 3800 | 0.0046 | 0.0527 |
0.0126 | 32.6531 | 4000 | 0.0003 | 0.0516 |
0.0099 | 34.2857 | 4200 | 0.0038 | 0.0561 |
0.0113 | 35.9184 | 4400 | 0.0009 | 0.0613 |
0.0121 | 37.5510 | 4600 | 0.0006 | 0.0523 |
0.0119 | 39.1837 | 4800 | 0.0035 | 0.0541 |
0.0104 | 40.8163 | 5000 | 0.0057 | 0.0520 |
0.0107 | 42.4490 | 5200 | 0.0001 | 0.0516 |
0.0076 | 44.0816 | 5400 | 0.0015 | 0.0531 |
0.0076 | 45.7143 | 5600 | 0.0008 | 0.0510 |
0.0099 | 47.3469 | 5800 | 0.0002 | 0.0514 |
0.0076 | 48.9796 | 6000 | 0.0001 | 0.0543 |
0.0049 | 50.6122 | 6200 | 0.0001 | 0.0691 |
0.0087 | 52.2449 | 6400 | 0.0004 | 0.0523 |
0.0082 | 53.8776 | 6600 | 0.0008 | 0.0567 |
0.009 | 55.5102 | 6800 | 0.0042 | 0.0547 |
0.0065 | 57.1429 | 7000 | 0.0003 | 0.0541 |
0.0044 | 58.7755 | 7200 | 0.0000 | 0.0543 |
0.0051 | 60.4082 | 7400 | 0.0001 | 0.0529 |
0.0058 | 62.0408 | 7600 | 0.0001 | 0.0508 |
0.0049 | 63.6735 | 7800 | 0.0003 | 0.0518 |
0.0048 | 65.3061 | 8000 | 0.0005 | 0.0520 |
0.005 | 66.9388 | 8200 | 0.0001 | 0.0665 |
0.0044 | 68.5714 | 8400 | 0.0010 | 0.0577 |
0.0041 | 70.2041 | 8600 | 0.0000 | 0.0535 |
0.0028 | 71.8367 | 8800 | 0.0000 | 0.0520 |
0.0044 | 73.4694 | 9000 | 0.0000 | 0.0561 |
0.0025 | 75.1020 | 9200 | 0.0000 | 0.0591 |
0.002 | 76.7347 | 9400 | 0.0000 | 0.0553 |
0.0032 | 78.3673 | 9600 | 0.0000 | 0.0512 |
0.0031 | 80.0 | 9800 | 0.0003 | 0.0520 |
0.0023 | 81.6327 | 10000 | 0.0000 | 0.0512 |
0.0018 | 83.2653 | 10200 | 0.0000 | 0.0512 |
0.0017 | 84.8980 | 10400 | 0.0000 | 0.0529 |
0.0011 | 86.5306 | 10600 | 0.0000 | 0.0520 |
0.0014 | 88.1633 | 10800 | 0.0000 | 0.0518 |
0.0015 | 89.7959 | 11000 | 0.0000 | 0.0541 |
0.0012 | 91.4286 | 11200 | 0.0000 | 0.0523 |
0.0015 | 93.0612 | 11400 | 0.0000 | 0.0543 |
0.0017 | 94.6939 | 11600 | 0.0000 | 0.0575 |
0.0008 | 96.3265 | 11800 | 0.0000 | 0.0581 |
0.001 | 97.9592 | 12000 | 0.0000 | 0.0569 |
0.0011 | 99.5918 | 12200 | 0.0000 | 0.0571 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for susmitabhatt/xlsr-big-kynnn
Base model
facebook/wav2vec2-large-xlsr-53