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---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-general-stories
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. -->
# distilgpt2-finetuned-general-stories
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0063
## 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: 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.7415 | 1.0 | 2940 | 5.4942 |
| 5.1216 | 2.0 | 5880 | 4.9520 |
| 4.7464 | 3.0 | 8820 | 4.6264 |
| 4.5081 | 4.0 | 11760 | 4.4148 |
| 4.3457 | 5.0 | 14700 | 4.2677 |
| 4.2207 | 6.0 | 17640 | 4.1709 |
| 4.1182 | 7.0 | 20580 | 4.0961 |
| 4.0599 | 8.0 | 23520 | 4.0473 |
| 4.0235 | 9.0 | 26460 | 4.0176 |
| 3.9931 | 10.0 | 29400 | 4.0063 |
### Framework versions
- Transformers 4.40.0
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1
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