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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_clm-model_ep10
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. -->
# my_awesome_eli5_clm-model_ep10
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: 3.7281
## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9135 | 1.0 | 561 | 3.7619 |
| 3.8038 | 2.0 | 1122 | 3.7444 |
| 3.7492 | 3.0 | 1683 | 3.7340 |
| 3.71 | 4.0 | 2244 | 3.7303 |
| 3.682 | 5.0 | 2805 | 3.7286 |
| 3.6517 | 6.0 | 3366 | 3.7277 |
| 3.6372 | 7.0 | 3927 | 3.7284 |
| 3.6132 | 8.0 | 4488 | 3.7273 |
| 3.5905 | 9.0 | 5049 | 3.7274 |
| 3.5857 | 10.0 | 5610 | 3.7281 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.7.1
- Datasets 2.12.0
- Tokenizers 0.13.3