End of training
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README.md
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This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) 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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## Model description
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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:
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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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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| 0.
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### Framework versions
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This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1331
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## Model description
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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: 16
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 250 | 0.4844 |
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| 0.4439 | 2.0 | 500 | 0.5077 |
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| 0.4439 | 3.0 | 750 | 0.6605 |
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| 0.1985 | 4.0 | 1000 | 0.8166 |
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| 0.1985 | 5.0 | 1250 | 0.7628 |
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| 0.1114 | 6.0 | 1500 | 0.9060 |
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| 0.1114 | 7.0 | 1750 | 0.9887 |
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| 0.0556 | 8.0 | 2000 | 1.0709 |
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| 0.0556 | 9.0 | 2250 | 1.1016 |
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| 0.0288 | 10.0 | 2500 | 1.1331 |
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### Framework versions
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model.safetensors
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