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juniorjukeko/audio-class-minds14

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  1. README.md +14 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.061946902654867256
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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
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # audio-class-minds14
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- This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6413
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- - Accuracy: 0.0619
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  ## Model description
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  ### Training hyperparameters
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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: 32
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  - eval_batch_size: 32
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  - seed: 143
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.8 | 3 | 2.6388 | 0.0531 |
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- | No log | 1.87 | 7 | 2.6363 | 0.0442 |
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- | 2.6298 | 2.93 | 11 | 2.6413 | 0.0619 |
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- | 2.6298 | 4.0 | 15 | 2.6417 | 0.0531 |
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- | 2.6298 | 4.8 | 18 | 2.6425 | 0.0354 |
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- | 2.6296 | 5.87 | 22 | 2.6412 | 0.0354 |
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- | 2.6296 | 6.93 | 26 | 2.6427 | 0.0531 |
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- | 2.6175 | 8.0 | 30 | 2.6425 | 0.0442 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: juniorjukeko/audio-class-minds14
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.08849557522123894
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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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  # audio-class-minds14
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+ This model is a fine-tuned version of [juniorjukeko/audio-class-minds14](https://huggingface.co/juniorjukeko/audio-class-minds14) on the minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6380
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+ - Accuracy: 0.0885
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 143
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.8 | 3 | 2.6452 | 0.0796 |
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+ | No log | 1.87 | 7 | 2.6469 | 0.0796 |
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+ | 2.643 | 2.93 | 11 | 2.6449 | 0.0708 |
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+ | 2.643 | 4.0 | 15 | 2.6426 | 0.0708 |
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+ | 2.643 | 4.8 | 18 | 2.6429 | 0.0708 |
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+ | 2.649 | 5.87 | 22 | 2.6413 | 0.0885 |
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+ | 2.649 | 6.93 | 26 | 2.6388 | 0.0885 |
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+ | 2.6382 | 8.0 | 30 | 2.6380 | 0.0885 |
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  ### Framework versions
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