metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model_index:
  - name: bert-base-uncased-finetuned-squad
    results:
      - task:
          name: Question Answering
          type: question-answering
        dataset:
          name: squad
          type: squad
          args: plain_text

bert-base-uncased-finetuned-squad

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

Loss: 1.0725

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
1.0749	1.0	5533	1.0167
0.7851	2.0	11066	1.0299
0.6067	3.0	16599	1.0725

Framework versions

Transformers 4.8.1
Pytorch 1.8.1
Datasets 1.16.1
Tokenizers 0.10.1