---
license: apache-2.0
tags:
- generated_from_trainer
base_model: distilgpt2
model-index:
- name: StatementOfWork_Generator_Omega2
  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. -->

# StatementOfWork_Generator_Omega2

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: 0.9436

## 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: 50
- eval_batch_size: 50
- 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   | 15   | 0.9674          |
| No log        | 2.0   | 30   | 0.9673          |
| No log        | 3.0   | 45   | 0.9633          |
| No log        | 4.0   | 60   | 0.9629          |
| No log        | 5.0   | 75   | 0.9633          |
| No log        | 6.0   | 90   | 0.9634          |
| No log        | 7.0   | 105  | 0.9635          |
| No log        | 8.0   | 120  | 0.9603          |
| No log        | 9.0   | 135  | 0.9550          |
| No log        | 10.0  | 150  | 0.9583          |
| No log        | 11.0  | 165  | 0.9574          |
| No log        | 12.0  | 180  | 0.9544          |
| No log        | 13.0  | 195  | 0.9540          |
| No log        | 14.0  | 210  | 0.9575          |
| No log        | 15.0  | 225  | 0.9530          |
| No log        | 16.0  | 240  | 0.9519          |
| No log        | 17.0  | 255  | 0.9514          |
| No log        | 18.0  | 270  | 0.9534          |
| No log        | 19.0  | 285  | 0.9498          |
| No log        | 20.0  | 300  | 0.9554          |
| No log        | 21.0  | 315  | 0.9474          |
| No log        | 22.0  | 330  | 0.9539          |
| No log        | 23.0  | 345  | 0.9470          |
| No log        | 24.0  | 360  | 0.9491          |
| No log        | 25.0  | 375  | 0.9478          |
| No log        | 26.0  | 390  | 0.9454          |
| No log        | 27.0  | 405  | 0.9472          |
| No log        | 28.0  | 420  | 0.9481          |
| No log        | 29.0  | 435  | 0.9467          |
| No log        | 30.0  | 450  | 0.9473          |
| No log        | 31.0  | 465  | 0.9478          |
| No log        | 32.0  | 480  | 0.9439          |
| No log        | 33.0  | 495  | 0.9453          |
| 0.2954        | 34.0  | 510  | 0.9446          |
| 0.2954        | 35.0  | 525  | 0.9453          |
| 0.2954        | 36.0  | 540  | 0.9452          |
| 0.2954        | 37.0  | 555  | 0.9442          |
| 0.2954        | 38.0  | 570  | 0.9459          |
| 0.2954        | 39.0  | 585  | 0.9442          |
| 0.2954        | 40.0  | 600  | 0.9443          |
| 0.2954        | 41.0  | 615  | 0.9445          |
| 0.2954        | 42.0  | 630  | 0.9442          |
| 0.2954        | 43.0  | 645  | 0.9441          |
| 0.2954        | 44.0  | 660  | 0.9453          |
| 0.2954        | 45.0  | 675  | 0.9447          |
| 0.2954        | 46.0  | 690  | 0.9441          |
| 0.2954        | 47.0  | 705  | 0.9438          |
| 0.2954        | 48.0  | 720  | 0.9438          |
| 0.2954        | 49.0  | 735  | 0.9437          |
| 0.2954        | 50.0  | 750  | 0.9436          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2