Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-sst-2-english-finetuned-20pc – AI Model by okho0653 | AlphaNeural AI
You can deploy this model and start earning money today!
okho0653
/
distilbert-base-uncased-finetuned-sst-2-english-finetuned-20pc
like
0
transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-sst-2-english-finetuned-20pc
This model is a fine-tuned version of
distilbert-base-uncased-finetuned-sst-2-english
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5078
Accuracy: 0.8333
F1: 0.3721
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: 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
41
0.3986
0.8272
0.0667
No log
2.0
82
0.3829
0.8519
0.4
No log
3.0
123
0.4916
0.8333
0.2286
No log
4.0
164
0.4894
0.8333
0.4490
No log
5.0
205
0.5078
0.8333
0.3721
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
