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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: aift-model-review-multiple-label-classification |
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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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# aift-model-review-multiple-label-classification |
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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: 3.0090 |
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- Accuracy Thresh: 0.9179 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:| |
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| No log | 1.0 | 129 | 2.2623 | 0.3531 | |
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| No log | 2.0 | 258 | 1.6019 | 0.5913 | |
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| No log | 3.0 | 387 | 1.3774 | 0.7378 | |
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| 2.6175 | 4.0 | 516 | 1.3383 | 0.7875 | |
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| 2.6175 | 5.0 | 645 | 1.2456 | 0.8006 | |
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| 2.6175 | 6.0 | 774 | 1.3044 | 0.8679 | |
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| 2.6175 | 7.0 | 903 | 1.4123 | 0.8746 | |
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| 0.7127 | 8.0 | 1032 | 1.5500 | 0.8872 | |
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| 0.7127 | 9.0 | 1161 | 1.6639 | 0.8894 | |
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| 0.7127 | 10.0 | 1290 | 1.8716 | 0.9024 | |
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| 0.7127 | 11.0 | 1419 | 1.8131 | 0.8985 | |
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| 0.3804 | 12.0 | 1548 | 2.1177 | 0.9059 | |
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| 0.3804 | 13.0 | 1677 | 2.1873 | 0.9105 | |
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| 0.3804 | 14.0 | 1806 | 2.3237 | 0.9098 | |
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| 0.3804 | 15.0 | 1935 | 2.5947 | 0.9112 | |
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| 0.2297 | 16.0 | 2064 | 2.5776 | 0.9116 | |
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| 0.2297 | 17.0 | 2193 | 2.7601 | 0.9158 | |
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| 0.2297 | 18.0 | 2322 | 2.6187 | 0.9165 | |
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| 0.2297 | 19.0 | 2451 | 2.9175 | 0.9165 | |
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| 0.1588 | 20.0 | 2580 | 2.9085 | 0.9168 | |
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| 0.1588 | 21.0 | 2709 | 2.8516 | 0.9183 | |
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| 0.1588 | 22.0 | 2838 | 2.8932 | 0.9179 | |
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| 0.1588 | 23.0 | 2967 | 2.8514 | 0.9175 | |
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| 0.1154 | 24.0 | 3096 | 3.0075 | 0.9179 | |
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| 0.1154 | 25.0 | 3225 | 3.0090 | 0.9179 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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