---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
datasets:
- proto_qa
model-index:
- name: my_awesome_generation_model
  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. -->

# my_awesome_generation_model

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the proto_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4234

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6643        | 0.32  | 20   | 2.8379          |
| 2.942         | 0.65  | 40   | 2.6090          |
| 2.7742        | 0.97  | 60   | 2.5426          |
| 2.6329        | 1.29  | 80   | 2.5053          |
| 2.5239        | 1.61  | 100  | 2.4791          |
| 2.5101        | 1.94  | 120  | 2.4521          |
| 2.4416        | 2.26  | 140  | 2.4436          |
| 2.3676        | 2.58  | 160  | 2.4405          |
| 2.3664        | 2.9   | 180  | 2.4280          |
| 2.2977        | 3.23  | 200  | 2.4291          |
| 2.2861        | 3.55  | 220  | 2.4216          |
| 2.2695        | 3.87  | 240  | 2.4213          |
| 2.1973        | 4.19  | 260  | 2.4208          |
| 2.1874        | 4.52  | 280  | 2.4216          |
| 2.2308        | 4.84  | 300  | 2.4229          |
| 2.18          | 5.16  | 320  | 2.4203          |
| 2.1711        | 5.48  | 340  | 2.4222          |
| 2.1402        | 5.81  | 360  | 2.4208          |
| 2.1064        | 6.13  | 380  | 2.4222          |
| 2.1189        | 6.45  | 400  | 2.4224          |
| 2.0666        | 6.77  | 420  | 2.4228          |
| 2.1272        | 7.1   | 440  | 2.4226          |
| 2.0448        | 7.42  | 460  | 2.4226          |
| 2.123         | 7.74  | 480  | 2.4234          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2