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: T5LegalAbstractiveSummarization
+  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. -->
+
+# T5LegalAbstractiveSummarization
+
+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: 2.3609
+- Rouge1: 46.0257
+- Rouge2: 19.7049
+- Rougel: 27.1994
+- Rougelsum: 41.5335
+- Gen Len: 269.53
+
+## 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 32   | 2.3728          | 46.5257 | 20.1572 | 27.2915 | 41.9231   | 268.37  |
+| No log        | 2.0   | 64   | 2.3723          | 46.6356 | 20.2894 | 27.4219 | 42.0149   | 267.67  |
+| No log        | 3.0   | 96   | 2.3711          | 46.6278 | 20.272  | 27.4113 | 42.0144   | 268.32  |
+| No log        | 4.0   | 128  | 2.3692          | 46.5747 | 20.2018 | 27.4114 | 41.8886   | 270.68  |
+| No log        | 5.0   | 160  | 2.3671          | 46.3585 | 19.8511 | 27.1805 | 41.627    | 271.06  |
+| No log        | 6.0   | 192  | 2.3652          | 46.1954 | 19.7736 | 27.1616 | 41.5316   | 270.98  |
+| No log        | 7.0   | 224  | 2.3636          | 46.1564 | 19.6929 | 27.1374 | 41.5196   | 269.82  |
+| No log        | 8.0   | 256  | 2.3622          | 46.1804 | 19.7607 | 27.2296 | 41.6105   | 270.93  |
+| No log        | 9.0   | 288  | 2.3613          | 45.9359 | 19.5433 | 27.1402 | 41.4038   | 269.49  |
+| No log        | 10.0  | 320  | 2.3609          | 46.0257 | 19.7049 | 27.1994 | 41.5335   | 269.53  |
+
+
+### 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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