Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-cv-hp-fixed – AI Model by lwolfrat | AlphaNeural AI
You can deploy this model and start earning money today!
lwolfrat
/
distilbert-base-uncased-cv-hp-fixed
like
0
transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-cv-hp-fixed
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: 0.3355
Accuracy: 0.9542
Precision Macro: 0.3181
Recall Macro: 0.3333
F1 Macro: 0.3255
Krippendorffs Alpha: -0.0158
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: 4.8755836740829676e-05
train_batch_size: 1
eval_batch_size: 4
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
lr_scheduler_warmup_steps: 22
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision Macro
Recall Macro
F1 Macro
Krippendorffs Alpha
0.4674
1.0
960
0.3355
0.9542
0.3181
0.3333
0.3255
-0.0158
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2
