---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: q1
  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. -->

# q1

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0078

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 0.0221          |
| No log        | 2.0   | 2    | 0.0199          |
| No log        | 3.0   | 3    | 0.0181          |
| No log        | 4.0   | 4    | 0.0166          |
| No log        | 5.0   | 5    | 0.0153          |
| No log        | 6.0   | 6    | 0.0140          |
| No log        | 7.0   | 7    | 0.0130          |
| No log        | 8.0   | 8    | 0.0120          |
| No log        | 9.0   | 9    | 0.0112          |
| No log        | 10.0  | 10   | 0.0105          |
| No log        | 11.0  | 11   | 0.0099          |
| No log        | 12.0  | 12   | 0.0095          |
| No log        | 13.0  | 13   | 0.0091          |
| No log        | 14.0  | 14   | 0.0087          |
| No log        | 15.0  | 15   | 0.0084          |
| No log        | 16.0  | 16   | 0.0082          |
| No log        | 17.0  | 17   | 0.0080          |
| No log        | 18.0  | 18   | 0.0079          |
| No log        | 19.0  | 19   | 0.0078          |
| No log        | 20.0  | 20   | 0.0078          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2