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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-32-2
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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-32-2
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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: 0.4805
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- Accuracy: 0.7699
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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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| 0.7124 | 1.0 | 13 | 0.6882 | 0.5385 |
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| 0.6502 | 2.0 | 26 | 0.6715 | 0.5385 |
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| 0.6001 | 3.0 | 39 | 0.6342 | 0.6154 |
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| 0.455 | 4.0 | 52 | 0.5713 | 0.7692 |
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| 0.2605 | 5.0 | 65 | 0.5562 | 0.7692 |
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| 0.1258 | 6.0 | 78 | 0.6799 | 0.7692 |
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| 0.0444 | 7.0 | 91 | 0.8096 | 0.7692 |
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| 0.0175 | 8.0 | 104 | 0.9281 | 0.6923 |
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| 0.0106 | 9.0 | 117 | 0.9826 | 0.6923 |
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| 0.0077 | 10.0 | 130 | 1.0254 | 0.7692 |
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| 0.0056 | 11.0 | 143 | 1.0667 | 0.7692 |
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| 0.0042 | 12.0 | 156 | 1.1003 | 0.7692 |
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| 0.0036 | 13.0 | 169 | 1.1299 | 0.7692 |
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| 0.0034 | 14.0 | 182 | 1.1623 | 0.6923 |
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| 0.003 | 15.0 | 195 | 1.1938 | 0.6923 |
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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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