Hugging Face's logo

Asmit
/
bert-finetuned-squad

Question Answering
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
1
bert-finetuned-squad / README.md
autoevaluator's picture
autoevaluator HF staff
Add evaluation results on the adversarialQA config and validation split of adversarial_qa
92f92f2
preview code
|
raw
history blame
2.28 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: bert-finetuned-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: adversarial_qa
          type: adversarial_qa
          config: adversarialQA
          split: validation
        metrics:
          - type: f1
            value: 30.1868
            name: F1
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzJjYjg3ODg5OWFmYjhmZjE5NWQ0ZTI2MTJjNDc2ZDVlNzRiYTdkMTYxZGNlMjhiZTI5MGMxZTBlYWVlYzdjMCIsInZlcnNpb24iOjF9.ErN6Yg23Q7ruGoEMiYOY7hdYLpDGgDpdLmuOWdOJao-vJVM7ZgiPnbHnbdeJ8HrOlrf58KjmehT57pHFfvuOCA
          - type: exact_match
            value: 19.7667
            name: Exact Match
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQ4YTA3YmU5ZjU1YjA1MjU1NjE3NDU4MjA4NjYyM2QwNmU3ODJiNDZlZjAyZWI0ZDliOTk4ZDY3YTJmY2E5YSIsInZlcnNpb24iOjF9.A3MVrJ7HZrbWaiEh2vlk9--DlPs3Vs2BMEWhj1iMeYTHzK0sWkfK3wEfCgT0xQrzdS2clQ2JDo54zrA5cWBhCw
          - type: loss
            value: 3.1052029132843018
            name: loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTVjYWJkODJmMTVkN2ZiOGEyZjBkZWUxMWI1MGNjNzdlOTZlMTYwMjc2ZDlhODllMTBhNTkyZjEwM2VlYWFhZiIsInZlcnNpb24iOjF9.JXkLlAgAafzi0gUZWx9_IkIBs2Neta7xxdC-uNclHQwUQf6AF5ZPEU_IQMGllm3ZNBYr7jeHtCcviryy1VSFBA

bert-finetuned-squad

This model is a fine-tuned version of bert-base-cased on the squad dataset.

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.27.4
  • Pytorch 1.13.1+cu116
  • Datasets 2.11.0
  • Tokenizers 0.13.2