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README.md
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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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