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BMU_finetuned_legal-led-base-16384_BillSum_v2 – AI Model by Radhikaaaa | AlphaNeural AI
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BMU_finetuned_legal-led-base-16384_BillSum_v2
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transformers
safetensors
led
text2text-generation
generated_from_trainer
nsi319/legal-led-base-16384
finetune
mit
endpoints_compatible
us
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BMU_finetuned_legal-led-base-16384_BillSum_v2
This model is a fine-tuned version of
nsi319/legal-led-base-16384
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2842
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: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 64
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_ratio: 0.05
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.9813
46
2.7704
No log
1.9813
92
1.9369
3.0478
2.9813
138
1.5348
3.0478
3.9813
184
1.3377
1.6918
4.9813
230
1.2842
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0
