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+ ---
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+ license: apache-2.0
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+ tags:
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+ - automatic-speech-recognition
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+ - gary109/AI_Light_Dance
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+ - generated_from_trainer
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+ model-index:
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+ - name: ai-light-dance_stepmania_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_stepmania_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 GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4089
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+ - Wer: 0.6472
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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: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10.0
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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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+ | 0.5255 | 1.0 | 753 | 0.5928 | 0.9878 |
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+ | 0.4897 | 2.0 | 1506 | 0.5564 | 0.9878 |
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+ | 0.4926 | 3.0 | 2259 | 0.5204 | 0.9852 |
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+ | 0.4533 | 4.0 | 3012 | 0.5061 | 0.9637 |
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+ | 0.3557 | 5.0 | 3765 | 0.4360 | 0.6618 |
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+ | 0.314 | 6.0 | 4518 | 0.4089 | 0.6472 |
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+ | 0.284 | 7.0 | 5271 | 0.4130 | 0.5322 |
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+ | 0.2762 | 8.0 | 6024 | 0.4108 | 0.5005 |
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+ | 0.2646 | 9.0 | 6777 | 0.4176 | 0.4966 |
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+ | 0.2637 | 10.0 | 7530 | 0.4158 | 0.4998 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.0.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