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README.md
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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-8-0
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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-8-0
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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: 0.6527
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- Accuracy: 0.6150
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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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| 0.7204 | 1.0 | 4 | 0.6917 | 0.5074 |
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| 0.6649 | 2.0 | 8 | 0.6879 | 0.6118 |
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| 0.6472 | 3.0 | 12 | 0.6838 | 0.6035 |
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| 0.6176 | 4.0 | 16 | 0.6774 | 0.6299 |
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| 0.5697 | 5.0 | 20 | 0.6697 | 0.6326 |
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| 0.508 | 6.0 | 24 | 0.6615 | 0.6310 |
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| 0.4138 | 7.0 | 28 | 0.6553 | 0.6222 |
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| 0.345 | 8.0 | 32 | 0.6527 | 0.6150 |
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| 0.2653 | 9.0 | 36 | 0.6583 | 0.6200 |
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| 0.2017 | 10.0 | 40 | 0.6712 | 0.6145 |
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| 0.1492 | 11.0 | 44 | 0.6842 | 0.6145 |
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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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