legalbert-large-1.7M-1_class_actions

afsuarezg/legalbert-large-1.7M-1_class_actions

legalbert-large-1.7M-1_class_actions is a text classification model from afsuarezg. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jun 6, 2023
Updated: Jun 6, 2023
SHA: 9a58b2e5

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Model card

From the Hugging Face model README

legalbert-large-1.7M-1_class_actions

This model is a fine-tuned version of pile-of-law/legalbert-large-1.7M-1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6901
Accuracy: 0.55

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: 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: 14

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	150	0.6892	0.55
No log	2.0	300	0.6913	0.55
No log	3.0	450	0.7061	0.45
0.7143	4.0	600	0.6908	0.55
0.7143	5.0	750	0.6925	0.55
0.7143	6.0	900	0.6951	0.45
0.7164	7.0	1050	0.6893	0.55
0.7164	8.0	1200	0.6884	0.55
0.7164	9.0	1350	0.6910	0.55
0.7042	10.0	1500	0.6882	0.55
0.7042	11.0	1650	0.7099	0.45
0.7042	12.0	1800	0.6910	0.55
0.7042	13.0	1950	0.6910	0.55
0.6999	14.0	2100	0.6901	0.55

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
Created: Jun 6, 2023
Updated: Jun 6, 2023