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albert-base-v2-stsb – AI Model by Alireza1044 | AlphaNeural AI

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Alireza1044/
albert-base-v2-stsb

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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stsb

This model is a fine-tuned version of albert-base-v2 on the GLUE STSB dataset. It achieves the following results on the evaluation set:

Loss: 0.3978
Pearson: 0.9090
Spearmanr: 0.9051
Combined Score: 0.9071

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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0

Training results

Framework versions

Transformers 4.9.0
Pytorch 1.9.0+cu102
Datasets 1.10.2
Tokenizers 0.10.3