bigbird-bart-legal-summarizer

Deeksha0777/bigbird-bart-legal-summarizer

bigbird-bart-legal-summarizer is a machine learning model from Deeksha0777. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
Model type: encoder-decoder
Access: Public
Created: Apr 28, 2025
Updated: Apr 28, 2025
SHA: 0bcd2620

Model card

From the Hugging Face model README

bigbird-bart-legal-summarizer

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

Loss: 10.8966

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	11.4010
No log	2.0	2	11.4010
No log	3.0	3	10.8966

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1

Library: transformers
Type: encoder-decoder
Created: Apr 28, 2025
Updated: Apr 28, 2025