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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: mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-with-nonfactual-contextonly
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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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# mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-with-nonfactual-contextonly
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0871
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- Rouge1: 0.1409
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- Rouge2: 0.0288
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- Rougel: 0.1159
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- Rougelsum: 0.1158
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- Gen Len: 18.8206
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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: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 2.7223 | 1.0 | 7356 | 2.1686 | 0.139 | 0.0274 | 0.1148 | 0.1147 | 18.6219 |
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| 2.6314 | 2.0 | 14712 | 2.1008 | 0.1416 | 0.0293 | 0.1167 | 0.1166 | 18.8697 |
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| 2.5676 | 3.0 | 22068 | 2.0871 | 0.1409 | 0.0288 | 0.1159 | 0.1158 | 18.8206 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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