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frisibeli/
legal-bert-finetuned-1985-classifier

Name: legal-bert-finetuned-1985-classifier
Availability: InStock

generated_from_trainer

frisibeli/legal-bert-finetuned-1985

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legal-bert-finetuned-1985-classifier

This model is a fine-tuned version of frisibeli/legal-bert-finetuned-1985 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3472
F1 Score: 0.5128
F1 Combined: 0.604040404040404

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.02
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Score
0.5817	0.99	82	0.5112	0.4419
0.4875	2.0	165	0.5126	0.4921
0.2992	2.99	247	0.6876	0.5171
0.1575	4.0	330	0.9381	0.5216
0.0727	4.99	412	1.1702	0.5308
0.0453	6.0	495	1.2749	0.5084
0.0258	6.96	574	1.3472	0.5128

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0

frisibeli/legal-bert-finetuned-1985-classifier

legal-bert-finetuned-1985-classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

frisibeli/
legal-bert-finetuned-1985-classifier