README.md

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
model-index:
  - name: MYX4567/distilbert-base-uncased-finetuned-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad_v2
          type: squad_v2
          config: squad_v2
          split: validation
        metrics:
          - name: Exact Match
            type: exact_match
            value: 38.212
            verified: true
          - name: F1
            type: f1
            value: 42.5859
            verified: true

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