legalbench_summarizer

This model is a fine-tuned version of t5-small on the legal_bench dataset. It achieves the following results on the evaluation set:

• Loss: 10.6817
• Rouge1: 0.0029
• Rouge2: 0.0
• Rougel: 0.003
• Rougelsum: 0.003
• Gen Len: 19.0

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	10.8579	0.0015	0.0	0.0016	0.0016	19.0
No log	2.0	2	10.7719	0.0018	0.0	0.0019	0.0019	19.0
No log	3.0	3	10.7123	0.0033	0.0	0.0033	0.0033	19.0
No log	4.0	4	10.6817	0.0029	0.0	0.003	0.003	19.0

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.1