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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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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-POSITIVE_NEGATIVE_ONLY_BALANCED_CLASSES |
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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-POSITIVE_NEGATIVE_ONLY_BALANCED_CLASSES |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3710 |
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- Accuracy: 0.8822 |
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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: 3e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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 |
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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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| 0.7822 | 0.96 | 18 | 0.6874 | 0.7424 | |
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| 0.5685 | 1.96 | 36 | 0.5974 | 0.7845 | |
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| 0.45 | 2.96 | 54 | 0.4988 | 0.8182 | |
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| 0.399 | 3.96 | 72 | 0.4583 | 0.8384 | |
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| 0.3457 | 4.96 | 90 | 0.4415 | 0.8451 | |
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| 0.352 | 5.96 | 108 | 0.3710 | 0.8822 | |
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| 0.2878 | 6.96 | 126 | 0.3881 | 0.8620 | |
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| 0.2669 | 7.96 | 144 | 0.4309 | 0.8502 | |
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| 0.2406 | 8.96 | 162 | 0.4271 | 0.8502 | |
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| 0.2491 | 9.96 | 180 | 0.4271 | 0.8502 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.11.0 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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