Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-glue_sst2 – AI Model by markuscolab | AlphaNeural AI
You can deploy this model and start earning money today!
markuscolab
/
distilbert-base-uncased-finetuned-glue_sst2
like
0
transformers
safetensors
distilbert
text-classification
generated_from_trainer
glue
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-glue_sst2
This model is a fine-tuned version of
distilbert-base-uncased
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.4097
Accuracy: 0.9060
F1: 0.9059
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
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1853
1.0
4210
0.2735
0.9117
0.9116
0.1299
2.0
8420
0.3569
0.9083
0.9082
0.0957
3.0
12630
0.4097
0.9060
0.9059
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
