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---
license: apache-2.0
base_model: mnaylor/mega-base-wikitext
tags:
- generated_from_trainer
datasets:
- swag
metrics:
- accuracy
model-index:
- name: MEGA_optionsChoose
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. -->
# MEGA_optionsChoose
This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on the swag dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3821
- Accuracy: 0.2937
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3709 | 1.0 | 4597 | 1.3881 | 0.2815 |
| 1.3622 | 2.0 | 9194 | 1.3825 | 0.2906 |
| 1.3561 | 3.0 | 13791 | 1.3821 | 0.2937 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
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