---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: Task3_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Task3_2

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: 3.0013

## 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: 0.0001
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2956        | 1.0   | 871  | 3.0864          |
| 3.053         | 2.0   | 1742 | 3.0407          |
| 2.9593        | 3.0   | 2613 | 3.0220          |
| 2.9048        | 4.0   | 3484 | 3.0057          |
| 2.8384        | 5.0   | 4355 | 3.0057          |
| 2.7976        | 6.0   | 5226 | 3.0029          |
| 2.763         | 7.0   | 6097 | 3.0013          |
| 2.7373        | 8.0   | 6968 | 3.0029          |
| 2.7106        | 9.0   | 7839 | 3.0038          |
| 2.6965        | 10.0  | 8710 | 3.0068          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3