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dummy_model – AI Model by eric2022 | AlphaNeural AI
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dummy_model
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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dummy_model
This model is a fine-tuned version of
bert-base-cased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.4429
Matthews Correlation: 0.5650
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.4577
1.0
1069
0.4429
0.5650
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
