---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Heritage-in-Digital-Age-distilbert-base-uncased-expression-rating
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Heritage-in-Digital-Age-distilbert-base-uncased-expression-rating

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9263
- Accuracy: 0.3740

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 18   | 2.1247          | 0.2683   |
| No log        | 2.0   | 36   | 2.0419          | 0.2846   |
| No log        | 3.0   | 54   | 1.9862          | 0.3577   |
| No log        | 4.0   | 72   | 1.9486          | 0.3659   |
| No log        | 5.0   | 90   | 1.9263          | 0.3740   |
| No log        | 6.0   | 108  | 1.9282          | 0.3415   |
| No log        | 7.0   | 126  | 1.9241          | 0.3333   |
| No log        | 8.0   | 144  | 1.9382          | 0.3415   |
| No log        | 9.0   | 162  | 1.9565          | 0.3171   |
| No log        | 10.0  | 180  | 1.9692          | 0.3171   |
| No log        | 11.0  | 198  | 2.0062          | 0.3252   |
| No log        | 12.0  | 216  | 2.0557          | 0.2927   |
| No log        | 13.0  | 234  | 2.0615          | 0.3089   |
| No log        | 14.0  | 252  | 2.1127          | 0.2602   |
| No log        | 15.0  | 270  | 2.1535          | 0.2764   |
| No log        | 16.0  | 288  | 2.1563          | 0.2927   |
| No log        | 17.0  | 306  | 2.1844          | 0.2846   |
| No log        | 18.0  | 324  | 2.1891          | 0.2927   |
| No log        | 19.0  | 342  | 2.2052          | 0.2683   |
| No log        | 20.0  | 360  | 2.2072          | 0.2683   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2