bart-large-bn-adapter-3.17M-snli-model1

This model is a fine-tuned version of facebook/bart-large on the snli dataset. It achieves the following results on the evaluation set:

• Loss: 0.2388
• Accuracy: 0.9191

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: 32
• eval_batch_size: 32
• seed: 36
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3308	1.0	17168	0.2528	0.9099
0.3118	2.0	34336	0.2433	0.9163
0.3133	3.0	51504	0.2388	0.9191

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0