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fine-tuned-model – AI Model by 50stars | AlphaNeural AI
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fine-tuned-model
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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fine-tuned-model
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset.
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-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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1 Score
Jaccard Score
Average Precision Score
Percentage Examples At Least 1 True
No log
1.0
5
0.6742
0.0
0.0
0.0
0.0
0.2880
0.0
Framework versions
Transformers 4.26.1
Pytorch 2.0.0+cu118
Tokenizers 0.13.3
