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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: flan-t5-large-reaction-extraction
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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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# flan-t5-large-reaction-extraction
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8736
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- Rouge1: 34.4249
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- Rouge2: 21.4943
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- Rougel: 33.4902
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- Rougelsum: 33.466
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- Gen Len: 28.1622
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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: 1
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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: 5.0
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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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| 1.0236 | 1.0 | 2885 | 0.9221 | 24.983 | 14.6971 | 24.5305 | 24.5497 | 42.0762 |
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| 0.8177 | 2.0 | 5771 | 0.8503 | 30.0616 | 18.1568 | 29.5486 | 29.5537 | 35.5198 |
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| 0.6784 | 3.0 | 8657 | 0.8324 | 32.537 | 20.2178 | 31.7925 | 31.75 | 27.7862 |
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| 0.5961 | 4.0 | 11543 | 0.8330 | 32.9769 | 20.8184 | 32.2179 | 32.2036 | 33.6372 |
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| 0.4985 | 5.0 | 14425 | 0.8736 | 34.4249 | 21.4943 | 33.4902 | 33.466 | 28.1622 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu117
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- Datasets 2.6.1
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- Tokenizers 0.13.3
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