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--- |
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license: apache-2.0 |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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datasets: |
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- superb |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-ks-linear_lrX100 |
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results: [] |
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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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# wav2vec2-base-ks-linear_lrX100 |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6970 |
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- Accuracy: 0.8001 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.003 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 1024 |
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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_ratio: 0.1 |
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- num_epochs: 10.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.1789 | 1.0 | 50 | 1.3621 | 0.6225 | |
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| 0.636 | 2.0 | 100 | 0.9176 | 0.6912 | |
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| 0.5575 | 3.0 | 150 | 0.8543 | 0.7376 | |
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| 0.5289 | 4.0 | 200 | 0.6970 | 0.8001 | |
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| 0.4926 | 5.0 | 250 | 0.8232 | 0.7548 | |
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| 0.4831 | 6.0 | 300 | 0.7442 | 0.7755 | |
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| 0.4539 | 7.0 | 350 | 0.7484 | 0.7785 | |
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| 0.4816 | 8.0 | 400 | 0.7038 | 0.7982 | |
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| 0.4666 | 9.0 | 450 | 0.7277 | 0.7764 | |
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| 0.4417 | 10.0 | 500 | 0.7289 | 0.7870 | |
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### Framework versions |
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- Transformers 4.22.0.dev0 |
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- Pytorch 1.11.0+cu115 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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