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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: python-gpt2-large-issues-128
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. -->
# python-gpt2-large-issues-128
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2286
## 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: 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: 16
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.9843 | 1.0 | 1163 | 1.6715 |
| 1.5713 | 2.0 | 2326 | 1.4301 |
| 1.4226 | 3.0 | 3489 | 1.3808 |
| 1.332 | 4.0 | 4652 | 1.3806 |
| 1.2708 | 5.0 | 5815 | 1.2737 |
| 1.2089 | 6.0 | 6978 | 1.2354 |
| 1.167 | 7.0 | 8141 | 1.2250 |
| 1.126 | 8.0 | 9304 | 1.2262 |
| 1.0846 | 9.0 | 10467 | 1.1891 |
| 1.0647 | 10.0 | 11630 | 1.2263 |
| 1.0301 | 11.0 | 12793 | 1.1383 |
| 1.0054 | 12.0 | 13956 | 1.0922 |
| 0.9714 | 13.0 | 15119 | 1.1141 |
| 0.9713 | 14.0 | 16282 | 1.1614 |
| 0.9362 | 15.0 | 17445 | 1.0753 |
| 0.9382 | 16.0 | 18608 | 1.2286 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.6
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