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livinNector/
m-minilm-l12-h384-dra-tam-mal-aw-setfit-double-finetune

Name: m-minilm-l12-h384-dra-tam-mal-aw-setfit-double-finetune
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m-minilm-l12-h384-dra-tam-mal-aw-setfit-double-finetune

This model is a fine-tuned version of livinNector/m-minilm-l12-h384-dra-tam-mal-aw-setfit-finetune on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6682	0.4444	20	0.6228	0.6659	0.6625
0.6171	0.8889	40	0.6035	0.6789	0.6756
0.5673	1.3333	60	0.5673	0.7188	0.7155
0.5481	1.7778	80	0.5864	0.6993	0.6937
0.5137	2.2222	100	0.5245	0.7465	0.7440
0.4527	2.6667	120	0.5279	0.7522	0.7506
0.4596	3.1111	140	0.5172	0.7579	0.7576
0.3943	3.5556	160	0.5366	0.7514	0.7514
0.3836	4.0	180	0.5387	0.7628	0.7627
0.3627	4.4444	200	0.5802	0.7490	0.7480
0.3302	4.8889	220	0.5616	0.7563	0.7563
0.2999	5.3333	240	0.5745	0.7620	0.7598
0.3061	5.7778	260	0.5651	0.7694	0.7689