Flamgrise/DE_bios_Lol_Fine-tuned

ENG-full-fined-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: 2.5407
• F1: 0.0724

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	45	1.7846	0.0698
No log	2.0	90	1.7658	0.0698
No log	3.0	135	1.7458	0.0698
No log	4.0	180	1.7913	0.0698
No log	5.0	225	1.7677	0.1386
No log	6.0	270	1.8333	0.1000
No log	7.0	315	2.1814	0.0607
No log	8.0	360	2.2701	0.0781
No log	9.0	405	2.3223	0.1206
No log	10.0	450	2.4003	0.0879
No log	11.0	495	2.4776	0.0870
1.3449	12.0	540	2.5407	0.0724

Framework versions

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