transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:distilgpt2 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: finetuned_horror
  results: []
---

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

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: 1.4434

## 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: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 3.8377          |
| No log        | 2.0   | 12   | 3.6021          |
| No log        | 3.0   | 18   | 3.4019          |
| No log        | 4.0   | 24   | 3.2140          |
| No log        | 5.0   | 30   | 3.0524          |
| No log        | 6.0   | 36   | 2.9159          |
| No log        | 7.0   | 42   | 2.7962          |
| No log        | 8.0   | 48   | 2.6871          |
| No log        | 9.0   | 54   | 2.5802          |
| No log        | 10.0  | 60   | 2.4840          |
| No log        | 11.0  | 66   | 2.3933          |
| No log        | 12.0  | 72   | 2.3195          |
| No log        | 13.0  | 78   | 2.2517          |
| No log        | 14.0  | 84   | 2.1826          |
| No log        | 15.0  | 90   | 2.1190          |
| No log        | 16.0  | 96   | 2.0643          |
| No log        | 17.0  | 102  | 2.0083          |
| No log        | 18.0  | 108  | 1.9614          |
| No log        | 19.0  | 114  | 1.9132          |
| No log        | 20.0  | 120  | 1.8748          |
| No log        | 21.0  | 126  | 1.8417          |
| No log        | 22.0  | 132  | 1.8027          |
| No log        | 23.0  | 138  | 1.7775          |
| No log        | 24.0  | 144  | 1.7520          |
| No log        | 25.0  | 150  | 1.7265          |
| No log        | 26.0  | 156  | 1.7021          |
| No log        | 27.0  | 162  | 1.6795          |
| No log        | 28.0  | 168  | 1.6613          |
| No log        | 29.0  | 174  | 1.6414          |
| No log        | 30.0  | 180  | 1.6221          |
| No log        | 31.0  | 186  | 1.6019          |
| No log        | 32.0  | 192  | 1.5890          |
| No log        | 33.0  | 198  | 1.5694          |
| No log        | 34.0  | 204  | 1.5511          |
| No log        | 35.0  | 210  | 1.5325          |
| No log        | 36.0  | 216  | 1.5186          |
| No log        | 37.0  | 222  | 1.5097          |
| No log        | 38.0  | 228  | 1.5022          |
| No log        | 39.0  | 234  | 1.4903          |
| No log        | 40.0  | 240  | 1.4815          |
| No log        | 41.0  | 246  | 1.4766          |
| No log        | 42.0  | 252  | 1.4705          |
| No log        | 43.0  | 258  | 1.4653          |
| No log        | 44.0  | 264  | 1.4590          |
| No log        | 45.0  | 270  | 1.4544          |
| No log        | 46.0  | 276  | 1.4511          |
| No log        | 47.0  | 282  | 1.4476          |
| No log        | 48.0  | 288  | 1.4456          |
| No log        | 49.0  | 294  | 1.4440          |
| No log        | 50.0  | 300  | 1.4434          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
