legalclassBERT – AI Model by colaguo | AlphaNeural AI

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colaguo/
legalclassBERT

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generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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legalclassBERT

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3862

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: 32
eval_batch_size: 32
seed: 42
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
lr_scheduler_warmup_steps: 500
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.8911	0.8	500	1.7355
1.6518	1.6	1000	1.5437
1.5446	2.4	1500	1.4688
1.4949	3.2	2000	1.4108
1.4396	4.0	2500	1.3862

Framework versions

Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0