metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - alex-apostolo/filtered-cuad
model-index:
  - name: roberta-base-filtered-cuad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: alex-apostolo/filtered-cuad
          type: alex-apostolo/filtered-cuad
          config: alex-apostolo--filtered-cuad
          split: test
        metrics:
          - type: f1
            value: 71.4517
            name: F1
            verified: true
            verifyToken: >-
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          - type: exact
            value: 69.1239
            name: Exact Match
            verified: true
            verifyToken: >-
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          - type: loss
            value: 0.054761599749326706
            name: loss
            verified: true
            verifyToken: >-
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roberta-base-filtered-cuad

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

Loss: 0.0396

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: 32
eval_batch_size: 32
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
0.0502	1.0	8442	0.0467
0.0397	2.0	16884	0.0436
0.032	3.0	25326	0.0396

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1