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distilbert-base-uncased_finetuned_text_2_disease_cel_v2 – AI Model by celikmus | AlphaNeural AI
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celikmus
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distilbert-base-uncased_finetuned_text_2_disease_cel_v2
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased_finetuned_text_2_disease_cel_v2
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0252
Accuracy: 1.0
F1: 1.0
Recall: 1.0
Precision: 1.0
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: 4e-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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Recall
Precision
0.5425
1.0
167
0.3685
0.9640
0.9631
0.9640
0.9698
0.0887
2.0
334
0.0424
0.9985
0.9985
0.9985
0.9986
0.0399
3.0
501
0.0261
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
