Edit model card

NLP_HW3

This model is a fine-tuned version of bert-base-uncased on the cosmos_qa dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7752
  • Accuracy: 0.6057
  • F1: 0.6056

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1
Downloads last month
2
Safetensors
Model size
109M params
Tensor type
F32
·
Model state unknown

Finetuned from

Dataset used to train sakgoyal/NLP_HW3