refinement-finetuned-mnli-kaggle-reversal

This model is a fine-tuned version of facebook/bart-large-mnli on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0382

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.4093	1.0	12599	0.7861
0.5241	2.0	25198	0.9800
0.4969	3.0	37797	1.0316
0.4239	4.0	50396	1.0382

Framework versions

• Transformers 4.22.2
• Pytorch 1.10.0
• Datasets 2.5.1
• Tokenizers 0.12.1