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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: 0.1798 |
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- Accuracy Thresh: 0.9347 |
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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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| No log | 1.0 | 70 | 0.4152 | 0.8684 | |
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| No log | 2.0 | 140 | 0.3026 | 0.9010 | |
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| No log | 3.0 | 210 | 0.2406 | 0.9286 | |
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| No log | 4.0 | 280 | 0.2176 | 0.9316 | |
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| No log | 5.0 | 350 | 0.2038 | 0.9245 | |
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| No log | 6.0 | 420 | 0.1924 | 0.9296 | |
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| No log | 7.0 | 490 | 0.1900 | 0.9265 | |
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| 0.2652 | 8.0 | 560 | 0.1868 | 0.9286 | |
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| 0.2652 | 9.0 | 630 | 0.1804 | 0.9367 | |
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| 0.2652 | 10.0 | 700 | 0.1798 | 0.9347 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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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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