Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert_km_100_v2_wnli – AI Model by Hartunka | AlphaNeural AI
You can deploy this model and start earning money today!
Hartunka
/
distilbert_km_100_v2_wnli
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
en
glue
Hartunka/distilbert_km_100_v2
finetune
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert_km_100_v2_wnli
This model is a fine-tuned version of
Hartunka/distilbert_km_100_v2
on the GLUE WNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.7241
Accuracy: 0.4085
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: 256
eval_batch_size: 256
seed: 10
optimizer: Use 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: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7309
1.0
3
0.7241
0.4085
0.6991
2.0
6
0.7698
0.3662
0.6896
3.0
9
0.7694
0.2535
0.6909
4.0
12
0.7847
0.3099
0.6854
5.0
15
0.8256
0.2113
0.6904
6.0
18
0.8636
0.2113
Framework versions
Transformers 4.50.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.21.1
