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update model card README.md
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README.md
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---
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license: apache-2.0
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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-squadV2AutoQgen
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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-squadV2AutoQgen
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This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5863
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- Rouge1: 0.1449
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- Rouge2: 0.0701
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- Rougel: 0.1268
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- Rougelsum: 0.1397
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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: 0.0001
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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: 4
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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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| 2.0146 | 1.0 | 4758 | 1.6980 | 0.143 | 0.0705 | 0.1257 | 0.1384 |
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| 1.8197 | 2.0 | 9516 | 1.6290 | 0.1479 | 0.0716 | 0.1293 | 0.143 |
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| 1.7023 | 3.0 | 14274 | 1.5961 | 0.1453 | 0.0711 | 0.1276 | 0.1402 |
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| 1.6314 | 4.0 | 19032 | 1.5863 | 0.1449 | 0.0701 | 0.1268 | 0.1397 |
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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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