cs221-mDeBERTa-v3-base-mnli-xnli-finetuned-20-epochs

This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-mnli-xnli on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.6081	1.0	64	0.5854	0.4511	0.6250	0.1759
0.5318	2.0	128	0.5056	0.5413	0.6739	0.2905
0.4634	3.0	192	0.4846	0.6178	0.7158	0.3103
0.417	4.0	256	0.4696	0.6609	0.7452	0.3340
0.3762	5.0	320	0.4645	0.6707	0.7522	0.3577
0.3187	6.0	384	0.4622	0.6802	0.7591	0.3636
0.2801	7.0	448	0.4691	0.6953	0.7702	0.3557
0.2593	8.0	512	0.4847	0.6833	0.7614	0.3498
0.2278	9.0	576	0.4878	0.6941	0.7691	0.3775
0.1917	10.0	640	0.5014	0.7001	0.7735	0.3834
0.1761	11.0	704	0.5298	0.7020	0.7747	0.3893
0.1494	12.0	768	0.5417	0.7009	0.7741	0.3972
0.1422	13.0	832	0.5437	0.7074	0.7791	0.3953
0.1132	14.0	896	0.5602	0.6965	0.7709	0.3794
0.108	15.0	960	0.5558	0.7088	0.7803	0.3953
0.0945	16.0	1024	0.5700	0.7026	0.7753	0.3913
0.1004	17.0	1088	0.5748	0.7055	0.7776	0.3953
0.0857	18.0	1152	0.5733	0.7056	0.7776	0.3913
0.0893	19.0	1216	0.5731	0.7032	0.7759	0.3913
0.0881	20.0	1280	0.5735	0.7040	0.7765	0.3913