Hugging Face's logo

souraviithmds
/
bert-base-uncased-finetuned-swag

Multiple Choice
Transformers
Safetensors
bert
Generated from Trainer
Model card Files Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

bert-base-uncased-finetuned-swag

This model is a fine-tuned version of bert-base-uncased on the swag dataset.

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
0
Safetensors
Model size
109M params
Tensor type
F32
·
Inference Providers NEW
Multiple Choice
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for souraviithmds/bert-base-uncased-finetuned-swag

Base model

google-bert/bert-base-uncased
Finetuned
(3902)
this model

Dataset used to train souraviithmds/bert-base-uncased-finetuned-swag

Evaluation results

Metadata error: specify a dataset to view leaderboard