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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-32-5 |
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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-32-5 |
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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: 0.6248 |
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- Accuracy: 0.6826 |
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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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| 0.7136 | 1.0 | 13 | 0.6850 | 0.5385 | |
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| 0.6496 | 2.0 | 26 | 0.6670 | 0.6154 | |
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| 0.5895 | 3.0 | 39 | 0.6464 | 0.7692 | |
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| 0.4271 | 4.0 | 52 | 0.6478 | 0.7692 | |
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| 0.2182 | 5.0 | 65 | 0.6809 | 0.6923 | |
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| 0.103 | 6.0 | 78 | 0.9119 | 0.6923 | |
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| 0.0326 | 7.0 | 91 | 1.0718 | 0.6923 | |
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| 0.0154 | 8.0 | 104 | 1.0721 | 0.7692 | |
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| 0.0087 | 9.0 | 117 | 1.1416 | 0.7692 | |
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| 0.0067 | 10.0 | 130 | 1.2088 | 0.7692 | |
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| 0.005 | 11.0 | 143 | 1.2656 | 0.7692 | |
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| 0.0037 | 12.0 | 156 | 1.3104 | 0.7692 | |
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| 0.0032 | 13.0 | 169 | 1.3428 | 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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