scenario-TCR-XLMV_data-en-cardiff_eng_only_alpha

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: 1.0987
• 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: 1123
• 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	1.0986	0.3333	0.1667
No log	2.07	120	1.0986	0.3333	0.1667
No log	3.1	180	1.0991	0.3329	0.1665
No log	4.14	240	1.0987	0.3333	0.1667
No log	5.17	300	1.0988	0.3333	0.1667
No log	6.21	360	1.0990	0.3333	0.1667
No log	7.24	420	1.0993	0.3333	0.1667
No log	8.28	480	1.0987	0.3333	0.1667
1.0995	9.31	540	1.0988	0.3333	0.1667
1.0995	10.34	600	1.0987	0.3333	0.1667
1.0995	11.38	660	1.0988	0.3333	0.1667
1.0995	12.41	720	1.0988	0.3333	0.1667
1.0995	13.45	780	1.0999	0.3333	0.1667
1.0995	14.48	840	1.1007	0.3333	0.1667
1.0995	15.52	900	1.0988	0.3338	0.1685
1.0995	16.55	960	1.0987	0.3333	0.1667
1.1001	17.59	1020	1.0990	0.3333	0.1667
1.1001	18.62	1080	1.0989	0.3333	0.1667
1.1001	19.66	1140	1.0986	0.3333	0.1667
1.1001	20.69	1200	1.0987	0.3333	0.1667
1.1001	21.72	1260	1.0989	0.3333	0.1667
1.1001	22.76	1320	1.0988	0.3333	0.1667
1.1001	23.79	1380	1.0986	0.3333	0.1667
1.1001	24.83	1440	1.0986	0.3333	0.1667
1.0992	25.86	1500	1.0986	0.3333	0.1667
1.0992	26.9	1560	1.0986	0.3333	0.1667
1.0992	27.93	1620	1.0987	0.3333	0.1667
1.0992	28.97	1680	1.0987	0.3333	0.1667
1.0992	30.0	1740	1.0987	0.3333	0.1667

Framework versions

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