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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: 3.6138 |
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- Accuracy Thresh: 0.9404 |
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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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- distributed_type: tpu |
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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: 10 |
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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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| 0.2497 | 1.0 | 845 | 2.3781 | 0.9358 | |
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| 0.253 | 2.0 | 1690 | 2.4414 | 0.9311 | |
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| 0.2419 | 3.0 | 2535 | 3.1739 | 0.9374 | |
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| 0.1993 | 4.0 | 3380 | 2.9218 | 0.9409 | |
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| 0.158 | 5.0 | 4225 | 3.5374 | 0.9395 | |
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| 0.142 | 6.0 | 5070 | 3.8794 | 0.9398 | |
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| 0.1521 | 7.0 | 5915 | 3.7040 | 0.9399 | |
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| 0.1409 | 8.0 | 6760 | 3.5779 | 0.9401 | |
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| 0.1336 | 9.0 | 7605 | 3.7745 | 0.9413 | |
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| 0.1144 | 10.0 | 8450 | 3.6138 | 0.9404 | |
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### Framework versions |
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- Transformers 4.37.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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