rubert-base-cased-1-third – AI Model by Adammz | AlphaNeural AI

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Adammz/
rubert-base-cased-1-third

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text-classification

generated_from_trainer

DeepPavlov/rubert-base-cased

autotrain_compatible

endpoints_compatible

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rubert-base-cased-1-third

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

Loss: 0.2935
Accuracy: 0.919

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: 2e-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
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6641	1.0	1500	0.3723	0.9029
0.285	2.0	3000	0.3000	0.9154
0.1981	3.0	4500	0.2935	0.919
0.1488	4.0	6000	0.3073	0.9194
0.1139	5.0	7500	0.3401	0.9177
0.0902	6.0	9000	0.3662	0.9166
0.077	7.0	10500	0.3955	0.9175
0.0633	8.0	12000	0.4064	0.916
0.0548	9.0	13500	0.4286	0.9173
0.0487	10.0	15000	0.4429	0.916
0.0405	11.0	16500	0.4777	0.9195
0.0367	12.0	18000	0.4836	0.9202
0.0314	13.0	19500	0.4854	0.9194
0.0271	14.0	21000	0.5018	0.9175
0.023	15.0	22500	0.5123	0.9191

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0