metadata

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

distilbert-base-uncased-finetuned-squad

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: 1.1520

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
1.2177	1.0	5533	1.1565
0.9472	2.0	11066	1.1174
0.7634	3.0	16599	1.1520

Framework versions

Transformers 4.9.1
Pytorch 1.9.0+cu102
Datasets 1.10.2
Tokenizers 0.10.3