Commit ·
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Parent(s): 0b5c26e
End of training
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README.md
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# roberta-large-Dep-first
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This model is a fine-tuned version of [
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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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- F1: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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### Framework versions
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# roberta-large-Dep-first
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This model is a fine-tuned version of [rafalposwiata/deproberta-large-depression](https://huggingface.co/rafalposwiata/deproberta-large-depression) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1795
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- Accuracy: 0.702
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- F1: 0.5706
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.5563 | 1.0 | 751 | 0.5324 | 0.756 | 0.6188 |
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| 0.4721 | 2.0 | 1502 | 0.6204 | 0.691 | 0.5874 |
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| 0.3836 | 3.0 | 2253 | 0.7990 | 0.696 | 0.525 |
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| 0.3245 | 4.0 | 3004 | 0.9714 | 0.694 | 0.5726 |
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| 0.2795 | 5.0 | 3755 | 1.1795 | 0.702 | 0.5706 |
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### Framework versions
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pytorch_model.bin
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runs/Jul06_13-20-48_50c91763e7aa/events.out.tfevents.1688650150.50c91763e7aa.1432.0
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