End of training
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README.md
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Binary: 0.
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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:
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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 | 0.86 | 50 | 4.
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| No log | 1.72 | 100 | 3.
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| No log | 2.59 | 150 | 3.
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| No log | 3.45 | 200 | 3.
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| No log | 4.31 | 250 | 3.
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| No log | 5.17 | 300 | 3.
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| No log | 6.03 | 350 |
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| No log | 6.9 | 400 |
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| No log | 7.76 | 450 |
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| 3.
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### Framework versions
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6644
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- Accuracy: 0.4576
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- Precision: 0.4384
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- Recall: 0.4576
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- F1: 0.3988
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- Binary: 0.6165
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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: 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 | 0.86 | 50 | 4.1527 | 0.0484 | 0.0321 | 0.0484 | 0.0218 | 0.3266 |
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| No log | 1.72 | 100 | 3.7623 | 0.0605 | 0.0356 | 0.0605 | 0.0253 | 0.3361 |
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| No log | 2.59 | 150 | 3.5557 | 0.1211 | 0.1031 | 0.1211 | 0.0914 | 0.3731 |
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| No log | 3.45 | 200 | 3.3630 | 0.2131 | 0.1912 | 0.2131 | 0.1632 | 0.4375 |
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| No log | 4.31 | 250 | 3.1590 | 0.2809 | 0.2107 | 0.2809 | 0.2096 | 0.4915 |
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| No log | 5.17 | 300 | 3.0569 | 0.3414 | 0.3012 | 0.3414 | 0.2825 | 0.5312 |
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| No log | 6.03 | 350 | 2.8798 | 0.3995 | 0.3279 | 0.3995 | 0.3298 | 0.5751 |
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| No log | 6.9 | 400 | 2.7761 | 0.4189 | 0.3461 | 0.4189 | 0.3522 | 0.5918 |
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| No log | 7.76 | 450 | 2.7086 | 0.4383 | 0.3693 | 0.4383 | 0.3689 | 0.6036 |
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| 3.4503 | 8.62 | 500 | 2.6644 | 0.4576 | 0.4384 | 0.4576 | 0.3988 | 0.6165 |
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| 3.4503 | 9.48 | 550 | 2.6426 | 0.4649 | 0.4400 | 0.4649 | 0.4021 | 0.6211 |
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### Framework versions
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runs/Jun13_13-41-06_LAPTOP-1GID9RGH/events.out.tfevents.1718260867.LAPTOP-1GID9RGH.9068.2
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runs/Jun13_13-41-06_LAPTOP-1GID9RGH/events.out.tfevents.1718261195.LAPTOP-1GID9RGH.9068.3
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