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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: t5-v1_1-base-squadQnliHintsMultiQgen
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t5-v1_1-base-squadQnliHintsMultiQgen
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This model is a fine-tuned version of [t5-v1_1-base-squadQnliHintsMultiQgen/checkpoint-88000](https://huggingface.co/t5-v1_1-base-squadQnliHintsMultiQgen/checkpoint-88000) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4725
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- Rouge1: 0.3556
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- Rouge2: 0.1828
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- Rougel: 0.3229
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- Rougelsum: 0.3269
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 4
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|
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| 1.8298 | 1.0 | 14515 | 1.7529 | 0.3535 | 0.1825 | 0.3251 | 0.3294 |
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| 1.4931 | 2.0 | 29030 | 1.7132 | 0.3558 | 0.1881 | 0.3267 | 0.3308 |
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| 1.2756 | 3.0 | 43545 | 1.7579 | 0.3604 | 0.1901 | 0.3307 | 0.3345 |
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| 1.0936 | 4.0 | 58060 | 1.8173 | 0.36 | 0.1901 | 0.3295 | 0.3334 |
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| 0.955 | 5.0 | 72575 | 1.9204 | 0.3611 | 0.1884 | 0.3295 | 0.3336 |
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| 0.8117 | 6.0 | 87090 | 2.0183 | 0.355 | 0.1836 | 0.3241 | 0.3282 |
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| 0.6949 | 7.0 | 101605 | 2.1347 | 0.3556 | 0.1836 | 0.3242 | 0.3282 |
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| 0.636 | 8.0 | 116120 | 2.2567 | 0.3568 | 0.1855 | 0.3248 | 0.3286 |
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| 0.591 | 9.0 | 130635 | 2.3598 | 0.3563 | 0.1844 | 0.3238 | 0.3281 |
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| 0.5417 | 10.0 | 145150 | 2.4725 | 0.3556 | 0.1828 | 0.3229 | 0.3269 |
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### Framework versions
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- Transformers 4.23.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.5.2
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- Tokenizers 0.13.0
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