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distilbert-p4 – AI Model by wnic00 | AlphaNeural AI
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wnic00
/
distilbert-p4
like
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
wnic00/distilbert-p3
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-p4
This model is a fine-tuned version of
wnic00/distilbert-p3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8854
Accuracy: 0.6265
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: 5e-06
train_batch_size: 8
eval_batch_size: 8
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
Accuracy
0.978
1.0
904
0.8805
0.5977
0.836
2.0
1808
0.8550
0.6093
0.785
3.0
2712
0.8558
0.6220
0.7298
4.0
3616
0.8702
0.6198
0.6805
5.0
4520
0.8854
0.6265
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cpu
Datasets 2.14.4
Tokenizers 0.13.0
