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example-classifier – AI Model by osanseviero | AlphaNeural AI
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osanseviero
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example-classifier
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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example-classifier
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2453
Accuracy: 0.9216
F1: 0.9215
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: 32
eval_batch_size: 32
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
313
0.2682
0.9116
0.9113
0.3048
2.0
626
0.2453
0.9216
0.9215
Framework versions
Transformers 4.41.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1
