File size: 2,280 Bytes
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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
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- type: exact_match
value: 0.1515
name: Exact Match
verified: true
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- type: loss
value: 5.458096981048584
name: loss
verified: true
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---
<!-- 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
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