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ai-light-dance_chord_ft_wav2vec2-large-xlsr-53

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
gary109/AI_Light_Dance
generated_from_trainer
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: ai-light-dance_chord_ft_wav2vec2-large-xlsr-53
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ai-light-dance_chord_ft_wav2vec2-large-xlsr-53
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9477
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+ - Wer: 0.9781
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 160
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 50.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 5.1857 | 1.0 | 126 | 4.5913 | 1.0 |
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+ | 3.0939 | 2.0 | 252 | 3.0160 | 1.0 |
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+ | 2.8403 | 3.0 | 378 | 2.7337 | 1.0 |
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+ | 2.2525 | 4.0 | 504 | 2.5588 | 0.9825 |
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+ | 2.0291 | 5.0 | 630 | 2.5216 | 0.9701 |
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+ | 1.9083 | 6.0 | 756 | 2.3990 | 0.9514 |
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+ | 1.8745 | 7.0 | 882 | 2.2781 | 0.9474 |
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+ | 1.8222 | 8.0 | 1008 | 2.2360 | 0.9471 |
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+ | 1.7871 | 9.0 | 1134 | 2.1960 | 0.9463 |
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+ | 1.7225 | 10.0 | 1260 | 2.0775 | 0.9464 |
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+ | 1.6856 | 11.0 | 1386 | 2.0817 | 0.9518 |
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+ | 1.6903 | 12.0 | 1512 | 2.0607 | 0.9534 |
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+ | 1.6034 | 13.0 | 1638 | 1.9956 | 0.9504 |
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+ | 1.6171 | 14.0 | 1764 | 2.0099 | 0.9490 |
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+ | 1.5508 | 15.0 | 1890 | 2.0424 | 0.9591 |
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+ | 1.539 | 16.0 | 2016 | 1.9728 | 0.9600 |
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+ | 1.5176 | 17.0 | 2142 | 2.0421 | 0.9628 |
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+ | 1.5088 | 18.0 | 2268 | 1.9428 | 0.9598 |
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+ | 1.4739 | 19.0 | 2394 | 1.9886 | 0.9591 |
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+ | 1.4228 | 20.0 | 2520 | 2.0164 | 0.9670 |
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+ | 1.4277 | 21.0 | 2646 | 1.9968 | 0.9704 |
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+ | 1.3834 | 22.0 | 2772 | 1.9882 | 0.9669 |
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+ | 1.3768 | 23.0 | 2898 | 1.9519 | 0.9606 |
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+ | 1.3747 | 24.0 | 3024 | 1.8923 | 0.9580 |
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+ | 1.3533 | 25.0 | 3150 | 1.9767 | 0.9707 |
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+ | 1.3312 | 26.0 | 3276 | 1.8993 | 0.9609 |
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+ | 1.2743 | 27.0 | 3402 | 1.9494 | 0.9705 |
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+ | 1.2924 | 28.0 | 3528 | 1.9019 | 0.9631 |
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+ | 1.2621 | 29.0 | 3654 | 1.9110 | 0.9596 |
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+ | 1.2387 | 30.0 | 3780 | 1.9118 | 0.9627 |
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+ | 1.228 | 31.0 | 3906 | 1.8722 | 0.9590 |
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+ | 1.1938 | 32.0 | 4032 | 1.8890 | 0.9599 |
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+ | 1.1887 | 33.0 | 4158 | 1.9175 | 0.9653 |
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+ | 1.1807 | 34.0 | 4284 | 1.8983 | 0.9649 |
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+ | 1.1553 | 35.0 | 4410 | 1.9246 | 0.9703 |
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+ | 1.1448 | 36.0 | 4536 | 1.9248 | 0.9705 |
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+ | 1.1146 | 37.0 | 4662 | 1.9747 | 0.9804 |
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+ | 1.1394 | 38.0 | 4788 | 1.9119 | 0.9723 |
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+ | 1.1206 | 39.0 | 4914 | 1.8931 | 0.9630 |
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+ | 1.0892 | 40.0 | 5040 | 1.9243 | 0.9668 |
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+ | 1.104 | 41.0 | 5166 | 1.8965 | 0.9671 |
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+ | 1.054 | 42.0 | 5292 | 1.9477 | 0.9755 |
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+ | 1.0922 | 43.0 | 5418 | 1.8969 | 0.9699 |
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+ | 1.0484 | 44.0 | 5544 | 1.9423 | 0.9733 |
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+ | 1.0567 | 45.0 | 5670 | 1.9412 | 0.9745 |
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+ | 1.0615 | 46.0 | 5796 | 1.9076 | 0.9674 |
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+ | 1.0201 | 47.0 | 5922 | 1.9384 | 0.9743 |
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+ | 1.0664 | 48.0 | 6048 | 1.9509 | 0.9816 |
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+ | 1.0498 | 49.0 | 6174 | 1.9426 | 0.9757 |
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+ | 1.0303 | 50.0 | 6300 | 1.9477 | 0.9781 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.0.dev0
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+ - Pytorch 1.9.1+cu102
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+ - Datasets 2.3.3.dev0
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+ - Tokenizers 0.12.1