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LegalAbstractiveSummarization
This model is a fine-tuned version of 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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