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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-finetuned-ks |
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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-finetuned-ks |
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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: 0.5766 |
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- Accuracy: 0.8308 |
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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: 1.5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 15 |
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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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| No log | 1.0 | 7 | 0.7247 | 0.7462 | |
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| No log | 2.0 | 14 | 0.6844 | 0.7615 | |
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| 0.4279 | 3.0 | 21 | 0.7254 | 0.7462 | |
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| 0.4279 | 4.0 | 28 | 0.5891 | 0.8 | |
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| 0.4279 | 5.0 | 35 | 0.6991 | 0.7462 | |
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| 0.4478 | 6.0 | 42 | 0.6579 | 0.7615 | |
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| 0.4478 | 7.0 | 49 | 0.6164 | 0.8 | |
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| 0.4478 | 8.0 | 56 | 0.6191 | 0.8077 | |
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| 0.4194 | 9.0 | 63 | 0.5766 | 0.8308 | |
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| 0.4194 | 10.0 | 70 | 0.5704 | 0.8154 | |
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| 0.4194 | 11.0 | 77 | 0.6518 | 0.8 | |
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| 0.3833 | 12.0 | 84 | 0.6190 | 0.8077 | |
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| 0.3833 | 13.0 | 91 | 0.5693 | 0.8231 | |
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| 0.3833 | 14.0 | 98 | 0.5628 | 0.8231 | |
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| 0.3607 | 15.0 | 105 | 0.5741 | 0.8154 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.10.3 |
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