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wav2vec2-classifier

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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  1. README.md +27 -23
  2. model.safetensors +1 -1
  3. runs/Jun15_15-03-54_LAPTOP-1GID9RGH/events.out.tfevents.1718438634.LAPTOP-1GID9RGH.23220.0 +2 -2
  4. runs/Jun15_17-35-55_LAPTOP-1GID9RGH/events.out.tfevents.1718447757.LAPTOP-1GID9RGH.23220.1 +3 -0
  5. runs/Jun16_01-07-13_LAPTOP-1GID9RGH/events.out.tfevents.1718474834.LAPTOP-1GID9RGH.26192.0 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  # wav2vec2-classifier
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- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7104
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- - Accuracy: 0.8232
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- - Precision: 0.8509
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- - Recall: 0.8232
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- - F1: 0.8176
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- - Binary: 0.8801
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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: 3e-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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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- | No log | 0.17 | 50 | 0.5597 | 0.8422 | 0.8773 | 0.8422 | 0.8420 | 0.8896 |
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- | No log | 0.35 | 100 | 0.5717 | 0.8374 | 0.8672 | 0.8374 | 0.8393 | 0.8854 |
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- | No log | 0.52 | 150 | 0.5018 | 0.8617 | 0.8982 | 0.8617 | 0.8641 | 0.9041 |
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- | No log | 0.69 | 200 | 0.6071 | 0.8374 | 0.8766 | 0.8374 | 0.8402 | 0.8862 |
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- | No log | 0.86 | 250 | 0.5474 | 0.8544 | 0.8825 | 0.8544 | 0.8563 | 0.8973 |
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- | 0.9969 | 1.04 | 300 | 0.5368 | 0.8617 | 0.8909 | 0.8617 | 0.8638 | 0.9024 |
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- | 0.9969 | 1.21 | 350 | 0.5341 | 0.8519 | 0.8817 | 0.8519 | 0.8537 | 0.8964 |
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- | 0.9969 | 1.38 | 400 | 0.5094 | 0.8714 | 0.8952 | 0.8714 | 0.8728 | 0.9100 |
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- | 0.9969 | 1.55 | 450 | 0.5423 | 0.8471 | 0.8736 | 0.8471 | 0.8457 | 0.8932 |
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- | 0.9969 | 1.73 | 500 | 0.5375 | 0.8568 | 0.8904 | 0.8568 | 0.8579 | 0.9010 |
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- | 0.9969 | 1.9 | 550 | 0.5019 | 0.8617 | 0.8928 | 0.8617 | 0.8632 | 0.9032 |
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- | 0.8716 | 2.07 | 600 | 0.5622 | 0.8422 | 0.8688 | 0.8422 | 0.8429 | 0.8905 |
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- | 0.8716 | 2.24 | 650 | 0.4727 | 0.8568 | 0.8836 | 0.8568 | 0.8584 | 0.8990 |
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- | 0.8716 | 2.42 | 700 | 0.5217 | 0.8325 | 0.8690 | 0.8325 | 0.8356 | 0.8828 |
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- | 0.8716 | 2.59 | 750 | 0.5611 | 0.8447 | 0.8702 | 0.8447 | 0.8445 | 0.8913 |
 
 
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  ### Framework versions
 
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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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  metrics:
 
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  # wav2vec2-classifier
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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: 4.4346
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+ - Accuracy: 0.0121
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+ - Precision: 0.0001
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+ - Recall: 0.0121
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+ - F1: 0.0003
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+ - Binary: 0.1515
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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: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | No log | 0.08 | 50 | 4.4494 | 0.0146 | 0.0002 | 0.0146 | 0.0004 | 0.1633 |
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+ | No log | 0.16 | 100 | 4.4464 | 0.0097 | 0.0001 | 0.0097 | 0.0002 | 0.1112 |
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+ | No log | 0.24 | 150 | 4.4330 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1498 |
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+ | No log | 0.31 | 200 | 4.4432 | 0.0097 | 0.0001 | 0.0097 | 0.0002 | 0.1112 |
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+ | No log | 0.39 | 250 | 4.4338 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
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+ | No log | 0.47 | 300 | 4.4480 | 0.0194 | 0.0004 | 0.0194 | 0.0007 | 0.1549 |
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+ | No log | 0.55 | 350 | 4.4439 | 0.0146 | 0.0002 | 0.0146 | 0.0004 | 0.1430 |
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+ | No log | 0.63 | 400 | 4.4467 | 0.0146 | 0.0002 | 0.0146 | 0.0004 | 0.1172 |
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+ | No log | 0.71 | 450 | 4.4418 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
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+ | No log | 0.78 | 500 | 4.4394 | 0.0194 | 0.0004 | 0.0194 | 0.0007 | 0.1549 |
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+ | No log | 0.86 | 550 | 4.4450 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1498 |
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+ | No log | 0.94 | 600 | 4.4342 | 0.0049 | 0.0000 | 0.0049 | 0.0000 | 0.1532 |
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+ | 4.4341 | 1.02 | 650 | 4.4374 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1061 |
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+ | 4.4341 | 1.1 | 700 | 4.4479 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
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+ | 4.4341 | 1.18 | 750 | 4.4399 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
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+ | 4.4341 | 1.25 | 800 | 4.4421 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
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+ | 4.4341 | 1.33 | 850 | 4.4346 | 0.0121 | 0.0001 | 0.0121 | 0.0003 | 0.1515 |
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  ### Framework versions
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