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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-42-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-42-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: 1.4126 |
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- Accuracy: 0.4199 |
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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: 64 |
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- eval_batch_size: 64 |
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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 | 90 | 1.7527 | 0.2429 | |
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| No log | 2.0 | 180 | 1.7436 | 0.2429 | |
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| No log | 3.0 | 270 | 1.7371 | 0.2429 | |
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| No log | 4.0 | 360 | 1.7268 | 0.2444 | |
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| No log | 5.0 | 450 | 1.7015 | 0.2973 | |
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| 1.6932 | 6.0 | 540 | 1.6853 | 0.2886 | |
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| 1.6932 | 7.0 | 630 | 1.6676 | 0.2922 | |
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| 1.6932 | 8.0 | 720 | 1.6423 | 0.3089 | |
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| 1.6932 | 9.0 | 810 | 1.6182 | 0.3191 | |
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| 1.6932 | 10.0 | 900 | 1.5953 | 0.3241 | |
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| 1.6932 | 11.0 | 990 | 1.5797 | 0.3256 | |
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| 1.5883 | 12.0 | 1080 | 1.5590 | 0.3358 | |
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| 1.5883 | 13.0 | 1170 | 1.5306 | 0.3539 | |
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| 1.5883 | 14.0 | 1260 | 1.5157 | 0.3561 | |
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| 1.5883 | 15.0 | 1350 | 1.4990 | 0.3604 | |
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| 1.5883 | 16.0 | 1440 | 1.4944 | 0.3611 | |
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| 1.4756 | 17.0 | 1530 | 1.4822 | 0.3698 | |
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| 1.4756 | 18.0 | 1620 | 1.4731 | 0.3735 | |
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| 1.4756 | 19.0 | 1710 | 1.4655 | 0.3756 | |
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| 1.4756 | 20.0 | 1800 | 1.4603 | 0.3778 | |
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| 1.4756 | 21.0 | 1890 | 1.4552 | 0.3974 | |
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| 1.4756 | 22.0 | 1980 | 1.4478 | 0.3930 | |
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| 1.4113 | 23.0 | 2070 | 1.4439 | 0.3901 | |
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| 1.4113 | 24.0 | 2160 | 1.4417 | 0.3930 | |
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| 1.4113 | 25.0 | 2250 | 1.4359 | 0.4075 | |
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| 1.4113 | 26.0 | 2340 | 1.4316 | 0.4126 | |
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| 1.4113 | 27.0 | 2430 | 1.4300 | 0.4061 | |
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| 1.3841 | 28.0 | 2520 | 1.4258 | 0.4141 | |
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| 1.3841 | 29.0 | 2610 | 1.4237 | 0.4162 | |
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| 1.3841 | 30.0 | 2700 | 1.4218 | 0.4133 | |
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| 1.3841 | 31.0 | 2790 | 1.4205 | 0.4213 | |
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| 1.3841 | 32.0 | 2880 | 1.4189 | 0.4133 | |
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| 1.3841 | 33.0 | 2970 | 1.4173 | 0.4162 | |
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| 1.3682 | 34.0 | 3060 | 1.4159 | 0.4220 | |
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| 1.3682 | 35.0 | 3150 | 1.4146 | 0.4199 | |
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| 1.3682 | 36.0 | 3240 | 1.4142 | 0.4213 | |
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| 1.3682 | 37.0 | 3330 | 1.4134 | 0.4213 | |
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| 1.3682 | 38.0 | 3420 | 1.4129 | 0.4199 | |
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| 1.3612 | 39.0 | 3510 | 1.4127 | 0.4184 | |
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| 1.3612 | 40.0 | 3600 | 1.4126 | 0.4199 | |
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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 |
