rubert-tiny2-1-4 – AI Model by Adammz | AlphaNeural AI

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Adammz/
rubert-tiny2-1-4

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text-classification

generated_from_trainer

cointegrated/rubert-tiny2

autotrain_compatible

endpoints_compatible

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rubert-tiny2-1-4

This model is a fine-tuned version of cointegrated/rubert-tiny2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3882
Accuracy: 0.9001

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9597	1.0	1500	1.1052	0.7613
0.9583	2.0	3000	0.8140	0.8157
0.7343	3.0	4500	0.6514	0.8502
0.6076	4.0	6000	0.5656	0.867
0.5257	5.0	7500	0.5115	0.8771
0.4694	6.0	9000	0.4748	0.8826
0.4296	7.0	10500	0.4477	0.8885
0.4006	8.0	12000	0.4295	0.8938
0.3753	9.0	13500	0.4159	0.896
0.358	10.0	15000	0.4066	0.8979
0.3417	11.0	16500	0.3994	0.8992
0.3296	12.0	18000	0.3943	0.8993
0.3203	13.0	19500	0.3914	0.8993
0.3158	14.0	21000	0.3889	0.9001
0.3126	15.0	22500	0.3882	0.9001

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0