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---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Wikibot-3001
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. -->
# Wikibot-3001
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0395
## 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: 16
- eval_batch_size: 32
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.7432 | 1.0 | 5950 | 2.6109 |
| 2.3556 | 2.0 | 11900 | 2.3059 |
| 2.1872 | 3.0 | 17850 | 2.1738 |
| 2.0891 | 4.0 | 23800 | 2.0990 |
| 2.0306 | 5.0 | 29750 | 2.0579 |
| 1.9975 | 6.0 | 35700 | 2.0395 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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