Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Medicaldistilbert_finetuned – AI Model by Ciphur | AlphaNeural AI
You can deploy this model and start earning money today!
Ciphur
/
Medicaldistilbert_finetuned
like
0
transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
Gaborandi/Medicaldistilbert
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Medicaldistilbert_finetuned
This model is a fine-tuned version of
Gaborandi/Medicaldistilbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2582
Precision: 0.5383
Recall: 0.6047
F1: 0.5696
Accuracy: 0.9166
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: 8
eval_batch_size: 8
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
125
0.3249
0.4618
0.4849
0.4731
0.9000
No log
2.0
250
0.2673
0.5274
0.5930
0.5583
0.9151
No log
3.0
375
0.2582
0.5383
0.6047
0.5696
0.9166
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
