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Legal_mbart_large_50_finetuned_2e – AI Model by arpansapkota | AlphaNeural AI
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Legal_mbart_large_50_finetuned_2e
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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Legal_mbart_large_50_finetuned_2e
This model is a fine-tuned version of
facebook/mbart-large-50
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0963
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: 3e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.6545
0.4420
200
2.0467
0.3885
0.8840
400
0.1520
0.1192
1.3249
600
0.1123
0.1028
1.7669
800
0.0963
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
