Model save
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README.md
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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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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: wav2vec2-classifier
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results: []
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# wav2vec2-classifier
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This model
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It achieves the following results on the evaluation set:
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- Loss: 3.2125
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- Accuracy: 0.2639
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- Precision: 0.1476
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- Recall: 0.2639
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- F1: 0.1708
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- Binary: 0.4828
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## Model description
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Binary |
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| No log | 0.86 | 50 | 4.2737 | 0.0461 | 0.0117 | 0.0461 | 0.0131 | 0.3133 |
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| 4.3817 | 1.72 | 100 | 3.9867 | 0.0583 | 0.0103 | 0.0583 | 0.0148 | 0.3340 |
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| 4.1014 | 2.59 | 150 | 3.8162 | 0.0655 | 0.0187 | 0.0655 | 0.0202 | 0.3400 |
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| 3.8922 | 3.45 | 200 | 3.6555 | 0.0995 | 0.0307 | 0.0995 | 0.0381 | 0.3684 |
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| 3.7329 | 4.31 | 250 | 3.5458 | 0.1214 | 0.0451 | 0.1214 | 0.0544 | 0.3813 |
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| 3.6106 | 5.17 | 300 | 3.4544 | 0.1602 | 0.0815 | 0.1602 | 0.0863 | 0.4117 |
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| 3.5162 | 6.03 | 350 | 3.3758 | 0.1869 | 0.1053 | 0.1869 | 0.1168 | 0.4279 |
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| 3.5162 | 6.9 | 400 | 3.3107 | 0.2063 | 0.1330 | 0.2063 | 0.1384 | 0.4432 |
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| 3.4324 | 7.76 | 450 | 3.2568 | 0.2233 | 0.1298 | 0.2233 | 0.1451 | 0.4534 |
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| 3.3733 | 8.62 | 500 | 3.2182 | 0.2330 | 0.1555 | 0.2330 | 0.1587 | 0.4619 |
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| 3.3259 | 9.48 | 550 | 3.2001 | 0.2427 | 0.1558 | 0.2427 | 0.1647 | 0.4670 |
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### Framework versions
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- Transformers 4.38.2
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-classifier
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results: []
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# wav2vec2-classifier
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This model was trained from scratch on an unknown dataset.
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## Model description
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.2
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runs/Jun14_23-23-26_LAPTOP-1GID9RGH/events.out.tfevents.1718382208.LAPTOP-1GID9RGH.23464.0
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size
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size 18714
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