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bodo-pretrain-legal-bert – AI Model by Mwnthai | AlphaNeural AI
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Mwnthai
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bodo-pretrain-legal-bert
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
Mwnthai/pretrained-bodo-legal-bert
finetune
cc-by-sa-4.0
endpoints_compatible
us
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legalBert
This model is a fine-tuned version of
Mwnthai/pretrained-bodo-legal-bert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.0230
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use 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
4.0753
1.0
625
4.0510
3.7902
2.0
1250
4.0323
4.0072
3.0
1875
4.0293
3.9841
3.9946
2496
4.0230
Framework versions
Transformers 4.48.3
Pytorch 2.0.1+cu117
Datasets 3.2.0
Tokenizers 0.21.0
