---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-himani_auto-text-gen
  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. -->

# distilbert-base-uncased-finetuned-himani_auto-text-gen

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7913

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8212        | 1.0   | 30   | 2.9480          |
| 4.0493        | 2.0   | 60   | 1.9459          |
| 3.5449        | 3.0   | 90   | 3.1831          |
| 3.6318        | 4.0   | 120  | 4.5427          |
| 3.4761        | 5.0   | 150  | 4.6722          |
| 2.9815        | 6.0   | 180  | 5.4563          |
| 3.1247        | 7.0   | 210  | 3.6281          |
| 2.9715        | 8.0   | 240  | 4.5996          |
| 2.8263        | 9.0   | 270  | 3.7812          |
| 2.3001        | 10.0  | 300  | 4.1159          |
| 2.656         | 11.0  | 330  | 4.0686          |
| 2.5122        | 12.0  | 360  | 3.4073          |
| 1.8478        | 13.0  | 390  | 3.1591          |
| 2.5157        | 14.0  | 420  | 3.4517          |
| 2.0329        | 15.0  | 450  | 2.5513          |
| 2.2727        | 16.0  | 480  | 3.1985          |
| 1.591         | 17.0  | 510  | 2.7810          |
| 1.81          | 18.0  | 540  | 4.5671          |
| 2.0059        | 19.0  | 570  | 2.9868          |
| 1.8184        | 20.0  | 600  | 5.4829          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3