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

# healthinsurance_textgen

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: 1.6360

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 10   | 2.5799          |
| No log        | 2.0   | 20   | 2.3829          |
| No log        | 3.0   | 30   | 2.2232          |
| No log        | 4.0   | 40   | 2.1162          |
| No log        | 5.0   | 50   | 2.0297          |
| No log        | 6.0   | 60   | 1.9680          |
| No log        | 7.0   | 70   | 1.9128          |
| No log        | 8.0   | 80   | 1.8481          |
| No log        | 9.0   | 90   | 1.8161          |
| No log        | 10.0  | 100  | 1.7868          |
| No log        | 11.0  | 110  | 1.7447          |
| No log        | 12.0  | 120  | 1.7269          |
| No log        | 13.0  | 130  | 1.7026          |
| No log        | 14.0  | 140  | 1.6866          |
| No log        | 15.0  | 150  | 1.6742          |
| No log        | 16.0  | 160  | 1.6633          |
| No log        | 17.0  | 170  | 1.6499          |
| No log        | 18.0  | 180  | 1.6432          |
| No log        | 19.0  | 190  | 1.6379          |
| No log        | 20.0  | 200  | 1.6360          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2