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README.md
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# HintsGenerator
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This model is a fine-tuned version of [t5-
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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: 2e-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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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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# HintsGenerator
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7536
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.1364 | 1.0 | 2106 | 1.8266 |
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| 2.0131 | 2.0 | 4212 | 1.7688 |
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| 1.9435 | 3.0 | 6318 | 1.7572 |
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| 1.8904 | 4.0 | 8424 | 1.7694 |
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| 1.8695 | 5.0 | 10530 | 1.7581 |
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| 1.8502 | 6.0 | 12636 | 1.7571 |
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| 1.8284 | 7.0 | 14742 | 1.7536 |
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### Framework versions
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