bart-base-bn-adapter-895K-snli-model2

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

• Loss: 0.3775
• Accuracy: 0.8572

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: 64
• eval_batch_size: 32
• seed: 54
• 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
0.5209	1.0	8584	0.4159	0.8383
0.4809	2.0	17168	0.3858	0.8534
0.473	3.0	25752	0.3775	0.8572

Framework versions

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