---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-furryirl2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-finetuned-furryirl2

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: 3.3031

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8899        | 1.0   | 852  | 3.5930          |
| 3.7515        | 2.0   | 1704 | 3.4929          |
| 3.6564        | 3.0   | 2556 | 3.4250          |
| 3.6221        | 4.0   | 3408 | 3.3787          |
| 3.5517        | 5.0   | 4260 | 3.3441          |
| 3.5009        | 6.0   | 5112 | 3.3200          |
| 3.5012        | 7.0   | 5964 | 3.3080          |
| 3.4741        | 8.0   | 6816 | 3.3031          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1