bert_labse-finetuning-unhealthyConv-dropout005-epochs-10 – AI Model by Hoari | AlphaNeural AI

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Hoari/
bert_labse-finetuning-unhealthyConv-dropout005-epochs-10

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert_labse-finetuning-unhealthyConv-dropout005-epochs-10

This model is a fine-tuned version of old_models/LaBSE/0_Transformer on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7820
Mse: 0.7820
Rmse: 0.8843
Mae: 0.4988
R2: 0.8587

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: 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	Mse	Rmse	Mae	R2
1.5159	1.0	3389	1.2618	1.2618	1.1233	0.7882	0.7720
1.0247	2.0	6778	1.1135	1.1135	1.0552	0.7067	0.7988
0.7849	3.0	10167	1.1353	1.1353	1.0655	0.7289	0.7949
0.6271	4.0	13556	0.9255	0.9255	0.9620	0.6331	0.8328
0.5029	5.0	16945	0.9135	0.9135	0.9558	0.6148	0.8349
0.3947	6.0	20334	0.8166	0.8166	0.9036	0.5446	0.8525
0.3264	7.0	23723	0.8280	0.8280	0.9099	0.5552	0.8504
0.2774	8.0	27112	0.8125	0.8125	0.9014	0.5408	0.8532
0.2245	9.0	30501	0.7870	0.7870	0.8871	0.5034	0.8578
0.2028	10.0	33890	0.7820	0.7820	0.8843	0.4988	0.8587

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3