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legalbertcase_outcome_model – AI Model by Othniel74 | AlphaNeural AI | AlphaNeural AI
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Othniel74
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legalbertcase_outcome_model
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transformers
safetensors
bert
text-classification
generated_from_trainer
nlpaueb/legal-bert-base-uncased
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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legalbertcase_outcome_model
This model is a fine-tuned version of
nlpaueb/legal-bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5650
Accuracy: 0.4393
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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.6614
1.0
224
1.6261
0.4373
1.5774
2.0
448
1.5875
0.4449
1.5879
3.0
672
1.5650
0.4393
Framework versions
Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1
