scenario-TCR-XLMV_data-en-cardiff_eng_only_delta2

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: 2
• 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	1.0983	0.3369	0.1756
No log	2.07	120	1.2358	0.3602	0.2232
No log	3.1	180	1.2414	0.3704	0.2465
No log	4.14	240	1.0987	0.3333	0.1667
No log	5.17	300	1.0987	0.3333	0.1667
No log	6.21	360	1.0995	0.3333	0.1667
No log	7.24	420	1.0991	0.3333	0.1667
No log	8.28	480	1.0990	0.3333	0.1667
1.0956	9.31	540	1.1003	0.3333	0.1667
1.0956	10.34	600	1.0988	0.3333	0.1667
1.0956	11.38	660	1.0988	0.3333	0.1667
1.0956	12.41	720	1.0986	0.3333	0.1667
1.0956	13.45	780	1.0987	0.3333	0.1667
1.0956	14.48	840	1.0987	0.3333	0.1667
1.0956	15.52	900	1.0992	0.3333	0.1667
1.0956	16.55	960	1.0987	0.3333	0.1667
1.0997	17.59	1020	1.0987	0.3333	0.1667
1.0997	18.62	1080	1.0987	0.3333	0.1667
1.0997	19.66	1140	1.0989	0.3333	0.1667
1.0997	20.69	1200	1.0987	0.3333	0.1667
1.0997	21.72	1260	1.0986	0.3333	0.1667
1.0997	22.76	1320	1.0986	0.3333	0.1667
1.0997	23.79	1380	1.0988	0.3333	0.1667
1.0997	24.83	1440	1.0987	0.3333	0.1667
1.0996	25.86	1500	1.0987	0.3333	0.1667
1.0996	26.9	1560	1.0986	0.3333	0.1667
1.0996	27.93	1620	1.0986	0.3333	0.1667
1.0996	28.97	1680	1.0986	0.3333	0.1667
1.0996	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