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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilGPT-ft-eli5
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. -->
# distilGPT-ft-eli5
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5643
## 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: 30
- 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
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 281 | 5.8277 |
| 5.7427 | 2.0 | 562 | 5.7525 |
| 5.7427 | 3.0 | 843 | 5.7016 |
| 5.5614 | 4.0 | 1124 | 5.6593 |
| 5.5614 | 5.0 | 1405 | 5.6273 |
| 5.4408 | 6.0 | 1686 | 5.6029 |
| 5.4408 | 7.0 | 1967 | 5.5855 |
| 5.3522 | 8.0 | 2248 | 5.5739 |
| 5.2948 | 9.0 | 2529 | 5.5670 |
| 5.2948 | 10.0 | 2810 | 5.5643 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.6.0
- Datasets 2.0.0
- Tokenizers 0.11.6
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