Edit model card

my_awesome_qa_model

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

  • Loss: 1.9597

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: 3

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 250 2.7649
2.9338 2.0 500 2.0829
2.9338 3.0 750 1.9597

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.9.0
  • Tokenizers 0.13.2
Downloads last month
4
Safetensors
Model size
66.4M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train Sybghat/my_awesome_qa_model