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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Heritage-in-Digital-Age-distilbert-base-uncased-expression-rating
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Heritage-in-Digital-Age-distilbert-base-uncased-expression-rating
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9263
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- Accuracy: 0.3740
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 18 | 2.1247 | 0.2683 |
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| No log | 2.0 | 36 | 2.0419 | 0.2846 |
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| No log | 3.0 | 54 | 1.9862 | 0.3577 |
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| No log | 4.0 | 72 | 1.9486 | 0.3659 |
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| No log | 5.0 | 90 | 1.9263 | 0.3740 |
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| No log | 6.0 | 108 | 1.9282 | 0.3415 |
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| No log | 7.0 | 126 | 1.9241 | 0.3333 |
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| No log | 8.0 | 144 | 1.9382 | 0.3415 |
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| No log | 9.0 | 162 | 1.9565 | 0.3171 |
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| No log | 10.0 | 180 | 1.9692 | 0.3171 |
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| No log | 11.0 | 198 | 2.0062 | 0.3252 |
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| No log | 12.0 | 216 | 2.0557 | 0.2927 |
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| No log | 13.0 | 234 | 2.0615 | 0.3089 |
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| No log | 14.0 | 252 | 2.1127 | 0.2602 |
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| No log | 15.0 | 270 | 2.1535 | 0.2764 |
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| No log | 16.0 | 288 | 2.1563 | 0.2927 |
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| No log | 17.0 | 306 | 2.1844 | 0.2846 |
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| No log | 18.0 | 324 | 2.1891 | 0.2927 |
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| No log | 19.0 | 342 | 2.2052 | 0.2683 |
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| No log | 20.0 | 360 | 2.2072 | 0.2683 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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