End of training
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README.md
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.0
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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: 20
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### Training results
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### Framework versions
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4304
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- Accuracy: 0.0
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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: 20
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.7246 | 0.32 | 25 | 0.6956 | 0.5054 |
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| 0.6873 | 0.64 | 50 | 0.6589 | 0.6462 |
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| 0.5328 | 0.96 | 75 | 0.5163 | 0.7942 |
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| 0.3942 | 1.28 | 100 | 0.3964 | 0.8556 |
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| 0.3563 | 1.6 | 125 | 0.3320 | 0.8917 |
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| 0.2756 | 1.92 | 150 | 0.4182 | 0.8520 |
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| 0.1572 | 2.24 | 175 | 0.4141 | 0.8700 |
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| 0.1338 | 2.56 | 200 | 0.5244 | 0.8628 |
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| 0.1802 | 2.88 | 225 | 0.8758 | 0.8700 |
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### Framework versions
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pytorch_model.bin
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size 2955086993
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