scenario-KD-SCR-PO-CDF-EN-FROM-EN-D2_data-en-cardiff_eng_only44

This model is a fine-tuned version of haryoaw/scenario-MDBT-TCR_data-en-cardiff_eng_only on the None dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.3333
• F1: 0.1667

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 44
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.72	100	nan	0.3333	0.1667
No log	3.45	200	nan	0.3333	0.1667
No log	5.17	300	nan	0.3333	0.1667
No log	6.9	400	nan	0.3333	0.1667
1.1048	8.62	500	nan	0.3333	0.1667
1.1048	10.34	600	nan	0.3333	0.1667
1.1048	12.07	700	nan	0.3333	0.1667
1.1048	13.79	800	nan	0.3333	0.1667
1.1048	15.52	900	nan	0.3333	0.1667
0.0	17.24	1000	nan	0.3333	0.1667
0.0	18.97	1100	nan	0.3333	0.1667
0.0	20.69	1200	nan	0.3333	0.1667
0.0	22.41	1300	nan	0.3333	0.1667
0.0	24.14	1400	nan	0.3333	0.1667
0.0	25.86	1500	nan	0.3333	0.1667
0.0	27.59	1600	nan	0.3333	0.1667
0.0	29.31	1700	nan	0.3333	0.1667

Framework versions

• Transformers 4.33.3
• Pytorch 2.1.1+cu121
• Datasets 2.14.5
• Tokenizers 0.13.3