---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_clm-model_ep10
  results: []
---

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# 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