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andriadze/
bert-text-pic-request-classifier-v2

Name: bert-text-pic-request-classifier-v2
Rating: 2.5 (6 reviews)

generated_from_trainer

distilbert/distilbert-base-uncased

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bert-text-pic-request-classifier-v2

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0347
Accuracy: 0.9929

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.035	1.0	1734	0.0362	0.9918
0.0096	2.0	3468	0.0347	0.9929

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

andriadze/bert-text-pic-request-classifier-v2

bert-text-pic-request-classifier-v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

andriadze/
bert-text-pic-request-classifier-v2