Legal_mbart_large_50_finetuned_RawData

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: 0.0902

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.2806	0.8840	200	1.0096
0.1615	1.7646	400	0.1367
0.1067	2.6453	600	0.1119
0.0878	3.5260	800	0.0948
0.0479	4.4066	1000	0.0902

Framework versions

• Transformers 4.50.2
• Pytorch 2.5.1+cu121
• Datasets 3.5.0
• Tokenizers 0.21.0