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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: distilbert-base-uncased__sst2__train-32-9
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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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# distilbert-base-uncased__sst2__train-32-9
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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: 0.5625
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- Accuracy: 0.7353
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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: 4
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- eval_batch_size: 4
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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: 50
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- mixed_precision_training: Native AMP
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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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| 0.7057 | 1.0 | 13 | 0.6805 | 0.5385 |
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| 0.6642 | 2.0 | 26 | 0.6526 | 0.7692 |
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| 0.5869 | 3.0 | 39 | 0.5773 | 0.8462 |
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| 0.4085 | 4.0 | 52 | 0.4959 | 0.8462 |
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| 0.2181 | 5.0 | 65 | 0.4902 | 0.6923 |
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| 0.069 | 6.0 | 78 | 0.5065 | 0.8462 |
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| 0.0522 | 7.0 | 91 | 0.6082 | 0.7692 |
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| 0.0135 | 8.0 | 104 | 0.6924 | 0.7692 |
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| 0.0084 | 9.0 | 117 | 0.5921 | 0.7692 |
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| 0.0061 | 10.0 | 130 | 0.6477 | 0.7692 |
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| 0.0047 | 11.0 | 143 | 0.6648 | 0.7692 |
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| 0.0035 | 12.0 | 156 | 0.6640 | 0.7692 |
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| 0.0031 | 13.0 | 169 | 0.6615 | 0.7692 |
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| 0.0029 | 14.0 | 182 | 0.6605 | 0.7692 |
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| 0.0026 | 15.0 | 195 | 0.6538 | 0.8462 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.2
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- Tokenizers 0.10.3
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