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# flan-t5-ellis
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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## Model description
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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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- num_epochs:
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### Training results
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### Framework versions
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# flan-t5-ellis
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8109
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## Model description
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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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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.995 | 9.96 | 500 | 0.8963 |
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| 0.7497 | 19.93 | 1000 | 0.7965 |
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| 0.6163 | 29.89 | 1500 | 0.7912 |
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| 0.5471 | 39.85 | 2000 | 0.8116 |
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| 0.5249 | 49.81 | 2500 | 0.8109 |
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### Framework versions
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