scenario-TCR-XLMV_data-en-cardiff_eng_only_delta

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: 11213
• 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	0.3329	0.1765
No log	2.07	120	1.0987	0.3333	0.1667
No log	3.1	180	1.0988	0.3333	0.1667
No log	4.14	240	1.0988	0.3333	0.1667
No log	5.17	300	1.0986	0.3338	0.1918
No log	6.21	360	1.0987	0.3351	0.1732
No log	7.24	420	1.0987	0.3333	0.1667
No log	8.28	480	1.0995	0.3333	0.1667
1.1008	9.31	540	1.0986	0.3333	0.1667
1.1008	10.34	600	1.0987	0.3333	0.1667
1.1008	11.38	660	1.0989	0.3333	0.1667
1.1008	12.41	720	1.0989	0.3333	0.1667
1.1008	13.45	780	1.0987	0.3333	0.1667
1.1008	14.48	840	1.0989	0.3333	0.1667
1.1008	15.52	900	1.0989	0.3333	0.1667
1.1008	16.55	960	1.0993	0.3333	0.1667
1.1	17.59	1020	1.0986	0.3333	0.1667
1.1	18.62	1080	1.0987	0.3333	0.1667
1.1	19.66	1140	1.0994	0.3333	0.1667
1.1	20.69	1200	1.0986	0.3333	0.1667
1.1	21.72	1260	1.0986	0.3333	0.1667
1.1	22.76	1320	1.0990	0.3333	0.1667
1.1	23.79	1380	1.0987	0.3333	0.1667
1.1	24.83	1440	1.0988	0.3333	0.1667
1.0997	25.86	1500	1.0987	0.3333	0.1667
1.0997	26.9	1560	1.0987	0.3333	0.1667
1.0997	27.93	1620	1.0986	0.3333	0.1667
1.0997	28.97	1680	1.0986	0.3333	0.1667
1.0997	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