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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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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: mitigation_recommender_flanT5base |
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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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# mitigation_recommender_flanT5base |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9726 |
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- Rouge1: 0.3336 |
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- Rouge2: 0.1351 |
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- Rougel: 0.2764 |
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- Rougelsum: 0.2798 |
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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: 8 |
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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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| No log | 1.0 | 14 | 3.1216 | 0.3261 | 0.1277 | 0.2796 | 0.2869 | |
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| No log | 2.0 | 28 | 2.9726 | 0.3336 | 0.1351 | 0.2764 | 0.2798 | |
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| No log | 3.0 | 42 | 3.0057 | 0.3550 | 0.1551 | 0.2937 | 0.3017 | |
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| No log | 4.0 | 56 | 3.1233 | 0.3455 | 0.1439 | 0.2865 | 0.2946 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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