nb-bert-base-ctr-regression – AI Model by thusken | AlphaNeural AI

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thusken/
nb-bert-base-ctr-regression

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text-classification

generated_from_trainer

NbAiLab/nb-bert-base

autotrain_compatible

endpoints_compatible

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nb-bert-base-ctr-regression

This model is a fine-tuned version of NbAiLab/nb-bert-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0073
Mse: 0.0073

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-05
train_batch_size: 16
eval_batch_size: 64
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Mse
0.0106	1.0	1103	0.0069	0.0069
0.0073	2.0	2206	0.0072	0.0072
0.0058	3.0	3309	0.0063	0.0063
0.0038	4.0	4412	0.0073	0.0073
0.0025	5.0	5515	0.0064	0.0064
0.0019	6.0	6618	0.0065	0.0065
0.0014	7.0	7721	0.0066	0.0066
0.0011	8.0	8824	0.0067	0.0067
0.0008	9.0	9927	0.0066	0.0066
0.0007	10.0	11030	0.0066	0.0066

Framework versions

Transformers 4.17.0
Pytorch 1.10.2+cu113
Datasets 1.18.4
Tokenizers 0.12.1