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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-23-06-2023-summary |
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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-23-06-2023-summary |
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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: 1.9854 |
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- Rouge1: 0.1313 |
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- Rouge2: 0.0198 |
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- Rougel: 0.1109 |
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- Rougelsum: 0.1108 |
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- Gen Len: 18.9487 |
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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: 6 |
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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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| 2.7253 | 1.0 | 5187 | 2.1284 | 0.1278 | 0.0228 | 0.1044 | 0.1044 | 18.4121 | |
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| 2.5259 | 2.0 | 10374 | 2.0547 | 0.136 | 0.0265 | 0.1126 | 0.1126 | 18.7747 | |
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| 2.4501 | 3.0 | 15561 | 2.0201 | 0.1298 | 0.0203 | 0.1089 | 0.1086 | 18.8425 | |
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| 2.4254 | 4.0 | 20748 | 1.9996 | 0.1299 | 0.0198 | 0.1103 | 0.1102 | 18.9249 | |
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| 2.2699 | 5.0 | 25935 | 1.9892 | 0.132 | 0.0209 | 0.1118 | 0.1118 | 18.8883 | |
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| 2.3605 | 6.0 | 31122 | 1.9854 | 0.1313 | 0.0198 | 0.1109 | 0.1108 | 18.9487 | |
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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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