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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: AathifMohammed/t5baseflan |
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model-index: |
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- name: T5LegalAbstractiveSummarization |
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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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# T5LegalAbstractiveSummarization |
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This model is a fine-tuned version of [AathifMohammed/t5baseflan](https://huggingface.co/AathifMohammed/t5baseflan) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3609 |
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- Rouge1: 46.0257 |
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- Rouge2: 19.7049 |
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- Rougel: 27.1994 |
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- Rougelsum: 41.5335 |
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- Gen Len: 269.53 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- mixed_precision_training: Native AMP |
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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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| No log | 1.0 | 32 | 2.3728 | 46.5257 | 20.1572 | 27.2915 | 41.9231 | 268.37 | |
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| No log | 2.0 | 64 | 2.3723 | 46.6356 | 20.2894 | 27.4219 | 42.0149 | 267.67 | |
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| No log | 3.0 | 96 | 2.3711 | 46.6278 | 20.272 | 27.4113 | 42.0144 | 268.32 | |
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| No log | 4.0 | 128 | 2.3692 | 46.5747 | 20.2018 | 27.4114 | 41.8886 | 270.68 | |
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| No log | 5.0 | 160 | 2.3671 | 46.3585 | 19.8511 | 27.1805 | 41.627 | 271.06 | |
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| No log | 6.0 | 192 | 2.3652 | 46.1954 | 19.7736 | 27.1616 | 41.5316 | 270.98 | |
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| No log | 7.0 | 224 | 2.3636 | 46.1564 | 19.6929 | 27.1374 | 41.5196 | 269.82 | |
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| No log | 8.0 | 256 | 2.3622 | 46.1804 | 19.7607 | 27.2296 | 41.6105 | 270.93 | |
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| No log | 9.0 | 288 | 2.3613 | 45.9359 | 19.5433 | 27.1402 | 41.4038 | 269.49 | |
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| No log | 10.0 | 320 | 2.3609 | 46.0257 | 19.7049 | 27.1994 | 41.5335 | 269.53 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
