short-stories-lol-fine-tuned

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: 3.7862
• F1: 0.1353

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: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	44	1.7573	0.0698
No log	2.0	88	1.7508	0.0569
No log	3.0	132	1.8932	0.0569
No log	4.0	176	1.9888	0.1432
No log	5.0	220	2.4816	0.0702
No log	6.0	264	2.8377	0.0859
No log	7.0	308	3.3364	0.1256
No log	8.0	352	3.2681	0.1017
No log	9.0	396	3.5178	0.1179
No log	10.0	440	3.7246	0.1548
No log	11.0	484	3.7577	0.1353
0.6317	12.0	528	3.7862	0.1353

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2