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

# nlpmodel

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: nan

## 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: 0.0006
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9619        | 0.0   | 100  | 3.1582          |
| 3.5241        | 0.01  | 200  | 3.0684          |
| 3.4974        | 0.01  | 300  | 3.0059          |
| 3.4257        | 0.02  | 400  | 2.9492          |
| 3.3314        | 0.02  | 500  | 2.9199          |
| 3.2822        | 0.03  | 600  | 2.9082          |
| 3.2201        | 0.03  | 700  | 2.8789          |
| 3.1969        | 0.04  | 800  | 2.8594          |
| 3.2104        | 0.04  | 900  | 2.8379          |
| 3.1859        | 0.05  | 1000 | 2.8262          |
| 3.1731        | 0.05  | 1100 | nan             |
| 0.0           | 0.06  | 1200 | nan             |
| 0.0           | 0.06  | 1300 | nan             |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0