README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: roberta_test
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: social_i_qa
          type: social_i_qa
          config: default
          split: train
        metrics:
          - type: f1
            value: 6.806
            name: F1
            verified: true
            verifyToken: >-
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          - type: exact_match
            value: 0.1515
            name: Exact Match
            verified: true
            verifyToken: >-
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          - type: loss
            value: 5.458096981048584
            name: loss
            verified: true
            verifyToken: >-
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roberta_test

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: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1