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fine-tuned-distilbert-autofill – AI Model by vazish | AlphaNeural AI
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vazish
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fine-tuned-distilbert-autofill
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transformers
onnx
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
quantized
apache-2.0
autotrain_compatible
endpoints_compatible
us
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fine-tuned-distilbert-autofill
This model is a fine-tuned version of
distilbert/distilbert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2367
Precision: 0.9484
Recall: 0.9473
F1: 0.9473
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: 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: 5
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
