---
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-python_code_instructions_18k_alpaca
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-finetuned-python_code_instructions_18k_alpaca

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: 1.4143

## 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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7118        | 1.0   | 3862  | 1.5780          |
| 1.5838        | 2.0   | 7724  | 1.4955          |
| 1.4914        | 3.0   | 11586 | 1.4615          |
| 1.4532        | 4.0   | 15448 | 1.4364          |
| 1.4292        | 5.0   | 19310 | 1.4241          |
| 1.4136        | 6.0   | 23172 | 1.4171          |
| 1.3778        | 7.0   | 27034 | 1.4143          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1