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natural-language-inference – AI Model by autoevaluate | AlphaNeural AI
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natural-language-inference
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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natural-language-inference
This model is a fine-tuned version of
distilbert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.4120
Accuracy: 0.8284
F1: 0.8822
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: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
230
0.4288
0.8039
0.8644
No log
2.0
460
0.4120
0.8284
0.8822
Framework versions
Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
