End of training
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README.md
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This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning_v2](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning_v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.0248
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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- Learning Rate: 0.0
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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: 3
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- eval_batch_size: 3
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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| 0.0559 | 5.0 | 3445 | 0.1012 | 0.0308 | 0.0298 | 0.0152 | 0.6818 | 0.0008 |
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| 0.0466 | 6.0 | 4134 | 0.0948 | 0.0268 | 0.0316 | 0.0161 | 0.7273 | 0.0005 |
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| 0.0436 | 7.0 | 4823 | 0.0957 | 0.0278 | 0.0297 | 0.0152 | 0.6818 | 0.0003 |
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| 0.0447 | 8.0 | 5512 | 0.0915 | 0.0248 | 0.0277 | 0.0142 | 0.6364 | 0.0 |
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### Framework versions
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This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning_v2](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning_v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0991
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- Accuracy: 0.0248
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- F1: 0.0238
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- Precision: 0.0122
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- Recall: 0.5455
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- Learning Rate: 0.0
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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: 1e-06
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- train_batch_size: 3
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- eval_batch_size: 3
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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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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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| 0.0174 | 1.0 | 689 | 0.1018 | 0.0238 | 0.0238 | 0.0122 | 0.5455 | 0.0008 |
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| 0.019 | 2.0 | 1378 | 0.1014 | 0.0248 | 0.0258 | 0.0132 | 0.5909 | 0.0005 |
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| 0.0182 | 3.0 | 2067 | 0.0979 | 0.0228 | 0.0238 | 0.0122 | 0.5455 | 0.0003 |
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| 0.0171 | 4.0 | 2756 | 0.0991 | 0.0248 | 0.0238 | 0.0122 | 0.5455 | 0.0 |
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### Framework versions
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model.safetensors
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runs/Jun12_17-44-15_c86ebda74365/events.out.tfevents.1718214257.c86ebda74365.349.0
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