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End of training
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README.md
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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: LegalAbstractiveSummarization
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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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# LegalAbstractiveSummarization
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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: 2.3803
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- Rouge1: 47.7228
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- Rouge2: 21.5558
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- Rougel: 28.288
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- Rougelsum: 43.2466
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- Gen Len: 278.26
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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: 2
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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 | 125 | 2.3840 | 47.6864 | 21.5113 | 28.2396 | 43.1664 | 276.951 |
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| No log | 2.0 | 250 | 2.3803 | 47.7228 | 21.5558 | 28.288 | 43.2466 | 278.26 |
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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
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adapter_model.safetensors
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