indojavanesenli-transfer-learn-zero-shot – AI Model by jalaluddin94 | AlphaNeural AI

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jalaluddin94/
indojavanesenli-transfer-learn-zero-shot

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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indojavanesenli-transfer-learn-zero-shot

This model is a fine-tuned version of jalaluddin94/nli_mbert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.6257
Accuracy: 0.4329
Precision: 0.4329
Recall: 0.4329
F1 Score: 0.4016

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: 3e-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 Score
0.6091	1.0	646	1.6313	0.4379	0.4379	0.4379	0.4095
0.4973	2.0	1292	1.6178	0.4256	0.4256	0.4256	0.3908
0.4441	3.0	1938	1.9232	0.4238	0.4238	0.4238	0.3893
0.4015	4.0	2584	1.8953	0.4488	0.4488	0.4488	0.4288
0.3621	5.0	3230	2.4039	0.4215	0.4215	0.4215	0.3809
0.3258	6.0	3876	2.4819	0.4215	0.4215	0.4215	0.3833
0.307	7.0	4522	2.4260	0.4424	0.4424	0.4424	0.4147
0.2892	8.0	5168	2.4761	0.4333	0.4333	0.4333	0.4019
0.2778	9.0	5814	2.5906	0.4310	0.4310	0.4310	0.3995
0.2573	10.0	6460	2.6257	0.4329	0.4329	0.4329	0.4016

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3