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LegalAbstractiveSummarization – AI Model by 12345deena | AlphaNeural AI
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12345deena
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LegalAbstractiveSummarization
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peft
tensorboard
safetensors
generated_from_trainer
AathifMohammed/t5baseflan
adapter
apache-2.0
us
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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
