Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
fine-tuned-distilbert-base-uncased-swag – AI Model by amritpuhan | AlphaNeural AI
You can deploy this model and start earning money today!
amritpuhan
/
fine-tuned-distilbert-base-uncased-swag
like
0
transformers
safetensors
distilbert
multiple-choice
generated_from_trainer
swag
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
fine-tuned-distilbert-base-uncased-swag
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on the swag dataset. It achieves the following results on the evaluation set:
Loss: 0.8217
Accuracy: 0.7282
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: 1.5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8947
1.0
4597
0.7623
0.6946
0.6717
2.0
9194
0.7162
0.7186
0.514
3.0
13791
0.7402
0.7261
0.4048
4.0
18388
0.8217
0.7282
Framework versions
Transformers 4.41.2
Pytorch 1.11.0
Datasets 2.19.1
Tokenizers 0.19.1
