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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- swag
model_index:
- name: bert-base-uncased-finetuned-swag
results:
- dataset:
name: swag
type: swag
args: regular
---
<!-- 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. -->
# bert-base-uncased-finetuned-swag
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6189
- eval_accuracy: 0.7647
- eval_runtime: 274.5502
- eval_samples_per_second: 72.868
- eval_steps_per_second: 4.557
- epoch: 1.0
- step: 4597
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Framework versions
- Transformers 4.9.1
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
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