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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__subj__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__subj__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: 0.4440 |
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- Accuracy: 0.789 |
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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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| 0.7163 | 1.0 | 3 | 0.6868 | 0.5 | |
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| 0.6683 | 2.0 | 6 | 0.6804 | 0.75 | |
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| 0.6375 | 3.0 | 9 | 0.6702 | 0.75 | |
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| 0.5997 | 4.0 | 12 | 0.6686 | 0.75 | |
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| 0.5345 | 5.0 | 15 | 0.6720 | 0.75 | |
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| 0.4673 | 6.0 | 18 | 0.6646 | 0.75 | |
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| 0.4214 | 7.0 | 21 | 0.6494 | 0.75 | |
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| 0.3439 | 8.0 | 24 | 0.6313 | 0.75 | |
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| 0.3157 | 9.0 | 27 | 0.6052 | 0.75 | |
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| 0.2329 | 10.0 | 30 | 0.5908 | 0.75 | |
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| 0.1989 | 11.0 | 33 | 0.5768 | 0.75 | |
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| 0.1581 | 12.0 | 36 | 0.5727 | 0.75 | |
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| 0.1257 | 13.0 | 39 | 0.5678 | 0.75 | |
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| 0.1005 | 14.0 | 42 | 0.5518 | 0.75 | |
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| 0.0836 | 15.0 | 45 | 0.5411 | 0.75 | |
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| 0.0611 | 16.0 | 48 | 0.5320 | 0.75 | |
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| 0.0503 | 17.0 | 51 | 0.5299 | 0.75 | |
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| 0.0407 | 18.0 | 54 | 0.5368 | 0.75 | |
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| 0.0332 | 19.0 | 57 | 0.5455 | 0.75 | |
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| 0.0293 | 20.0 | 60 | 0.5525 | 0.75 | |
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| 0.0254 | 21.0 | 63 | 0.5560 | 0.75 | |
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| 0.0231 | 22.0 | 66 | 0.5569 | 0.75 | |
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| 0.0201 | 23.0 | 69 | 0.5572 | 0.75 | |
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| 0.0179 | 24.0 | 72 | 0.5575 | 0.75 | |
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| 0.0184 | 25.0 | 75 | 0.5547 | 0.75 | |
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| 0.0148 | 26.0 | 78 | 0.5493 | 0.75 | |
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| 0.0149 | 27.0 | 81 | 0.5473 | 0.75 | |
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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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