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text_classifier_finetuned – AI Model by lvhma | AlphaNeural AI
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lvhma
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text_classifier_finetuned
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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text_classifier_finetuned
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: 0.1933
Accuracy: 0.9318
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: 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
0.2885
1.0
782
0.2232
0.9137
0.1484
2.0
1564
0.1933
0.9318
Framework versions
Transformers 4.37.1
Pytorch 1.13.1+cu117
Datasets 2.16.1
Tokenizers 0.15.1
