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legal-roberta-large – AI Model by frisibeli | AlphaNeural AI
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frisibeli
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legal-roberta-large
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transformers
safetensors
roberta
text-classification
generated_from_trainer
lexlms/legal-roberta-large
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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legal-roberta-large
This model is a fine-tuned version of
lexlms/legal-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0297
F1: 0.4489
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-06
train_batch_size: 4
eval_batch_size: 4
seed: 100
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 30
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.2471
0.96
18
0.8701
0.4711
0.1889
1.97
37
0.9103
0.4562
0.1444
2.99
56
0.9706
0.4489
0.1283
4.0
75
1.0204
0.4562
0.1411
4.8
90
1.0297
0.4489
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
