Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-amazon-kdd – AI Model by yahid | AlphaNeural AI
You can deploy this model and start earning money today!
yahid
/
distilbert-base-uncased-finetuned-amazon-kdd
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
sidraina/amazon-kdd-cup-2022
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
distilbert-base-uncased-finetuned-mnli
This model is a fine-tuned version of
distilbert-base-uncased
on the
Amazon KDD Cup
dataset. It achieves the following results on the evaluation set:
Loss: 0.6295
Accuracy: 0.759
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.661
1.0
17851
0.6604
0.7434
0.5822
2.0
35702
0.6295
0.759
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
