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mbti-classification-roberta-base-aug – AI Model by Shunian | AlphaNeural AI
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Shunian
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mbti-classification-roberta-base-aug
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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mbti-classification-roberta-base-aug
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.1645
Accuracy: 0.2834
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: cosine
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.1201
1.0
29900
2.1415
0.2833
1.8733
2.0
59800
2.1235
0.2866
1.7664
3.0
89700
2.1645
0.2834
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu102
Datasets 2.7.1
Tokenizers 0.13.2
