End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+base_model: AathifMohammed/t5baseflan
+model-index:
+- name: LegalAbstractiveSummarization
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# LegalAbstractiveSummarization
+
+This model is a fine-tuned version of [AathifMohammed/t5baseflan](https://huggingface.co/AathifMohammed/t5baseflan) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3803
+- Rouge1: 47.7228
+- Rouge2: 21.5558
+- Rougel: 28.288
+- Rougelsum: 43.2466
+- Gen Len: 278.26
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 125  | 2.3840          | 47.6864 | 21.5113 | 28.2396 | 43.1664   | 276.951 |
+| No log        | 2.0   | 250  | 2.3803          | 47.7228 | 21.5558 | 28.288  | 43.2466   | 278.26  |
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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