scenario-TCR-XLMV_data-en-cardiff_eng_only_gamma

This model is a fine-tuned version of facebook/xlm-v-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0986
• 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: 11423
• 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	1.03	60	1.0985	0.3333	0.1667
No log	2.07	120	1.0986	0.3333	0.1667
No log	3.1	180	1.0987	0.3333	0.1667
No log	4.14	240	1.0988	0.3333	0.1667
No log	5.17	300	1.0991	0.3333	0.1667
No log	6.21	360	1.0993	0.3333	0.1667
No log	7.24	420	1.0988	0.3333	0.1667
No log	8.28	480	1.0987	0.3333	0.1667
1.1004	9.31	540	1.0990	0.3333	0.1667
1.1004	10.34	600	1.0993	0.3333	0.1667
1.1004	11.38	660	1.0988	0.3333	0.1667
1.1004	12.41	720	1.0987	0.3333	0.1667
1.1004	13.45	780	1.0990	0.3333	0.1667
1.1004	14.48	840	1.0989	0.3333	0.1667
1.1004	15.52	900	1.0987	0.3333	0.1667
1.1004	16.55	960	1.0987	0.3333	0.1667
1.0996	17.59	1020	1.0989	0.3333	0.1667
1.0996	18.62	1080	1.0991	0.3333	0.1667
1.0996	19.66	1140	1.0986	0.3333	0.1667
1.0996	20.69	1200	1.0987	0.3333	0.1667
1.0996	21.72	1260	1.0986	0.3333	0.1667
1.0996	22.76	1320	1.0988	0.3333	0.1667
1.0996	23.79	1380	1.0989	0.3333	0.1667
1.0996	24.83	1440	1.0986	0.3333	0.1667
1.0995	25.86	1500	1.0987	0.3333	0.1667
1.0995	26.9	1560	1.0986	0.3333	0.1667
1.0995	27.93	1620	1.0986	0.3333	0.1667
1.0995	28.97	1680	1.0986	0.3333	0.1667
1.0995	30.0	1740	1.0986	0.3333	0.1667

Framework versions

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