Classify-model-v1.1 – AI Model by GeneStory | AlphaNeural AI

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GeneStory/
Classify-model-v1.1

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text-classification

generated_from_trainer

Supabase/gte-small

autotrain_compatible

endpoints_compatible

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v_best_model

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

Loss: 0.2700
Accuracy: 0.9437

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
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
1.639	1.0	21	1.3351	0.7606
1.065	2.0	42	0.7793	0.8592
0.6055	3.0	63	0.5200	0.8873
0.3519	4.0	84	0.3832	0.9014
0.2186	5.0	105	0.3277	0.9155
0.1573	6.0	126	0.2844	0.9296
0.118	7.0	147	0.3185	0.9014
0.0948	8.0	168	0.2744	0.9437
0.0831	9.0	189	0.2746	0.9437
0.0778	10.0	210	0.2700	0.9437

Framework versions

Transformers 4.36.2
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0