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--- |
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license: mit |
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library_name: peft |
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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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base_model: dslim/bert-base-NER |
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model-index: |
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- name: STS-Lora-Fine-Tuning-Capstone-bert-testing-23-with-lower-r-mid |
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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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# STS-Lora-Fine-Tuning-Capstone-bert-testing-23-with-lower-r-mid |
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This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3610 |
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- Accuracy: 0.4300 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 40 |
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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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| No log | 1.0 | 180 | 1.7491 | 0.2429 | |
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| No log | 2.0 | 360 | 1.7395 | 0.2451 | |
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| 1.7055 | 3.0 | 540 | 1.7242 | 0.2451 | |
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| 1.7055 | 4.0 | 720 | 1.6937 | 0.2980 | |
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| 1.7055 | 5.0 | 900 | 1.6446 | 0.3038 | |
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| 1.6419 | 6.0 | 1080 | 1.6173 | 0.3176 | |
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| 1.6419 | 7.0 | 1260 | 1.5638 | 0.3401 | |
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| 1.6419 | 8.0 | 1440 | 1.5355 | 0.3524 | |
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| 1.5258 | 9.0 | 1620 | 1.5112 | 0.3590 | |
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| 1.5258 | 10.0 | 1800 | 1.4870 | 0.3742 | |
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| 1.5258 | 11.0 | 1980 | 1.4729 | 0.3749 | |
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| 1.4424 | 12.0 | 2160 | 1.4664 | 0.3938 | |
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| 1.4424 | 13.0 | 2340 | 1.4524 | 0.4003 | |
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| 1.4002 | 14.0 | 2520 | 1.4390 | 0.4061 | |
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| 1.4002 | 15.0 | 2700 | 1.4317 | 0.4090 | |
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| 1.4002 | 16.0 | 2880 | 1.4241 | 0.4155 | |
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| 1.376 | 17.0 | 3060 | 1.4201 | 0.4148 | |
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| 1.376 | 18.0 | 3240 | 1.4069 | 0.4083 | |
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| 1.376 | 19.0 | 3420 | 1.4000 | 0.4184 | |
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| 1.3533 | 20.0 | 3600 | 1.3978 | 0.4235 | |
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| 1.3533 | 21.0 | 3780 | 1.3929 | 0.4329 | |
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| 1.3533 | 22.0 | 3960 | 1.3896 | 0.4329 | |
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| 1.3336 | 23.0 | 4140 | 1.3856 | 0.4264 | |
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| 1.3336 | 24.0 | 4320 | 1.3833 | 0.4322 | |
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| 1.3254 | 25.0 | 4500 | 1.3787 | 0.4235 | |
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| 1.3254 | 26.0 | 4680 | 1.3744 | 0.4329 | |
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| 1.3254 | 27.0 | 4860 | 1.3751 | 0.4300 | |
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| 1.3082 | 28.0 | 5040 | 1.3720 | 0.4336 | |
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| 1.3082 | 29.0 | 5220 | 1.3687 | 0.4300 | |
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| 1.3082 | 30.0 | 5400 | 1.3674 | 0.4293 | |
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| 1.3105 | 31.0 | 5580 | 1.3663 | 0.4373 | |
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| 1.3105 | 32.0 | 5760 | 1.3643 | 0.4351 | |
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| 1.3105 | 33.0 | 5940 | 1.3630 | 0.4271 | |
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| 1.295 | 34.0 | 6120 | 1.3628 | 0.4322 | |
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| 1.295 | 35.0 | 6300 | 1.3625 | 0.4300 | |
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| 1.295 | 36.0 | 6480 | 1.3623 | 0.4307 | |
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| 1.2919 | 37.0 | 6660 | 1.3617 | 0.4322 | |
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| 1.2919 | 38.0 | 6840 | 1.3613 | 0.4315 | |
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| 1.2905 | 39.0 | 7020 | 1.3610 | 0.4300 | |
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| 1.2905 | 40.0 | 7200 | 1.3610 | 0.4300 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
