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rightgpt_model – AI Model by Rightling | AlphaNeural AI
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Rightling
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rightgpt_model
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
nlpaueb/legal-bert-base-uncased
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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rightgpt_model
This model is a fine-tuned version of
nlpaueb/legal-bert-base-uncased
on the None dataset.
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: 4
eval_batch_size: 8
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
num_epochs: 1
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
