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tiny-classification-fast-2 – AI Model by Elytum | AlphaNeural AI | AlphaNeural AI
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Elytum
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tiny-classification-fast-2
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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tiny-classification-fast-2
This model is a fine-tuned version of
prajjwal1/bert-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3382
Accuracy: 0.9019
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: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5322
1.0
2865
0.4202
0.8942
0.3652
2.0
5730
0.3382
0.9019
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2
