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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- dream
metrics:
- accuracy
base_model: bert-base-uncased
model-index:
- name: bert-base-uncased-finetuned-swag
results: []
---
<!-- 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 dream dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0986
- Accuracy: 0.3642
## 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: 2
- eval_batch_size: 2
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1039 | 1.0 | 3058 | 1.0983 | 0.3779 |
| 1.0995 | 2.0 | 6116 | 1.0986 | 0.3544 |
| 1.1029 | 3.0 | 9174 | 1.0986 | 0.3642 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
|