---
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: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmZlNTYzZTUxNTJjMjMwZmNhNWY4NzA1MGYwYmQzYTA3Y2ZlMGJlZmI2ZTMzZTRmMTM0OTMwYjE2OTlhYTliMSIsInZlcnNpb24iOjF9.7YOULka9SVa2rZJmQSnW_wVSKmC7_fVWRwD6wZcQVV6-iPTq2r_t05ro33DKkSaqgarNN7kI5HY0I64ESmsuCQ
    - type: exact_match
      value: 0.1515
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmE4NTM4M2RhYWRhZTc2ZWQ5NjQ0OTJmZjEyZGZlNTdlMGY3YWZlMTBjOWE5NjU3YmFhMDBiZDc2ZWNkM2M2ZCIsInZlcnNpb24iOjF9.rsw_dOa8qSKtNtZ7ojqjvUB0S0Kxocdilgm6kew9bxPVX193eoKxMK42UzkdyBFA4wRBXsY8km6uPgSycoMGDw
    - type: loss
      value: 5.458096981048584
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmQzMjAwZGRjOGU0YmFhNDhiMTEwNjcwZDUwYWJlZDU2MmZlZDI4ODg4MTQ3Y2JkMDAwZWE5ODJjYzdlYjg2ZCIsInZlcnNpb24iOjF9.Z4jNTgWkE6Uw_-oeSx6leN1NPfRWCRmHE6bEbSsnABk8d76PjtoVHDaeFrCcB-Di-3GTOlHXk84JnjOTA0_pCA
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta_test

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/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