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Feluda/
Final_Fine_Tuned_Legal_Led

Name: Final_Fine_Tuned_Legal_Led
Rating: 2.5 (12 reviews)

nsi319/legal-led-base-16384

finetune

mit

endpoints_compatible

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results

This model is a fine-tuned version of nsi319/legal-led-base-16384 on the joelniklaus/legal_case_document_summarization dataset. It achieves the following results on the evaluation set:

Loss: 2.7401

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.2	1.0	1924	2.8550
3.6193	2.0	3848	2.7593
2.7776	3.0	5772	2.7401

Framework versions

PEFT 0.7.1
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0

Feluda/Final_Fine_Tuned_Legal_Led

results

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Feluda/
Final_Fine_Tuned_Legal_Led