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--- |
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license: apache-2.0 |
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base_model: bert-base-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-cased-finetuned-products |
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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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# bert-base-cased-finetuned-products |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1250 |
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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: 4e-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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 7.1574 | 1.0 | 7595 | 6.0100 | |
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| 4.7853 | 2.0 | 15190 | 3.7723 | |
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| 3.0734 | 3.0 | 22785 | 2.7345 | |
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| 2.2249 | 4.0 | 30380 | 2.2894 | |
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| 1.746 | 5.0 | 37975 | 2.0801 | |
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| 1.4232 | 6.0 | 45570 | 1.9818 | |
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| 1.177 | 7.0 | 53165 | 1.9314 | |
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| 0.9785 | 8.0 | 60760 | 1.9254 | |
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| 0.8097 | 9.0 | 68355 | 1.9443 | |
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| 0.6691 | 10.0 | 75950 | 1.9722 | |
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| 0.5536 | 11.0 | 83545 | 2.0024 | |
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| 0.4616 | 12.0 | 91140 | 2.0540 | |
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| 0.3869 | 13.0 | 98735 | 2.0819 | |
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| 0.3302 | 14.0 | 106330 | 2.1114 | |
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| 0.2915 | 15.0 | 113925 | 2.1250 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0.post100 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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