mnli_bart_text_classification_1_08th_march_margs

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

• Loss: 0.6755

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	22	0.7349
No log	2.0	44	0.6755
No log	3.0	66	0.7101
No log	4.0	88	0.6882
No log	5.0	110	0.6899
No log	6.0	132	0.6862

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Tokenizers 0.15.2