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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-finetuned-squad |
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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-finetuned-squad |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the [SQUAD dataset](https://huggingface.co/datasets/rajpurkar/squad). |
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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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- 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: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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Step|Training Loss |
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---|--- |
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500|2.6355 |
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1000|1.6559 |
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1500|1.4608 |
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2000|1.3781 |
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2500|1.3286 |
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3000|1.2879 |
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3500|1.2369 |
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4000|1.1795 |
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4500|1.1303 |
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5000|1.1637 |
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5500|1.1227 |
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6000|1.1406 |
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6500|1.1413 |
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7000|1.0821 |
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7500|1.0964 |
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8000|1.1083 |
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8500|1.0583 |
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9000|1.0825 |
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9500|1.0264 |
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10000|1.0407 |
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10500|1.0352 |
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11000|1.0107 |
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11500|0.8077 |
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12000|0.7105 |
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12500|0.7843 |
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13000|0.7401 |
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13500|0.7716 |
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14000|0.7772 |
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14500|0.749 |
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15000|0.7348 |
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15500|0.7495 |
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16000|0.7756 |
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16500|0.7243 |
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17000|0.7683 |
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17500|0.7536 |
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18000|0.7329 |
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18500|0.7342 |
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19000|0.6998 |
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19500|0.7326 |
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20000|0.7646 |
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20500|0.7729 |
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21000|0.734 |
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21500|0.734 |
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22000|0.691 |
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22500|0.5887 |
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23000|0.5148 |
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23500|0.539 |
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24000|0.5159 |
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24500|0.4908 |
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25000|0.5242 |
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25500|0.5162 |
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26000|0.4862 |
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26500|0.526 |
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27000|0.4953 |
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27500|0.5276 |
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28000|0.4848 |
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28500|0.4863 |
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29000|0.5222 |
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29500|0.5192 |
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30000|0.5088 |
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30500|0.5167 |
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31000|0.4906 |
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31500|0.5161 |
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32000|0.4995 |
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32500|0.4961 |
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33000|0.4653 |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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