legalbench_summarizer – AI Model by prithviraj-maurya | AlphaNeural AI

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prithviraj-maurya/
legalbench_summarizer

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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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