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README.md
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# t5-qg
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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: 2.2054
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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: 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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- lr_scheduler_warmup_steps: 500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.8719 | 0.21 | 500 | 2.5249 |
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| 2.5501 | 0.42 | 1000 | 2.3358 |
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| 2.4402 | 0.64 | 1500 | 2.2440 |
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| 2.4095 | 0.85 | 2000 | 2.2054 |
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### Framework versions
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# t5-qg
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
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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: 0.0001
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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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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_steps: 500
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### Training results
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### Framework versions
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