Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
eliminare – AI Model by Kamer | AlphaNeural AI
You can deploy this model and start earning money today!
Kamer
/
eliminare
like
0
transformers
pytorch
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
eliminare
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 2.0155
eval_Accuracy: 0.4159
eval_F1_macro: 0.1352
eval_F1_class_0: 0.8025
eval_F1_class_1: 0.2857
eval_F1_class_2: 0.5222
eval_F1_class_3: 0.0
eval_F1_class_4: 0.0593
eval_F1_class_5: 0.0
eval_F1_class_6: 0.0194
eval_F1_class_7: 0.0
eval_F1_class_8: 0.0
eval_F1_class_9: 0.8555
eval_F1_class_10: 0.0
eval_F1_class_11: 0.0
eval_F1_class_12: 0.1262
eval_F1_class_13: 0.0
eval_F1_class_14: 0.0
eval_F1_class_15: 0.0323
eval_F1_class_16: 0.0
eval_F1_class_17: 0.0
eval_F1_class_18: 0.0
eval_F1_class_19: 0.0
eval_runtime: 16.4701
eval_samples_per_second: 68.609
eval_steps_per_second: 8.622
epoch: 0.23
step: 1500
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Framework versions
Transformers 4.32.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
