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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- subjqa |
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model-index: |
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- name: qamodel_distilbert |
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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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# qamodel_distilbert |
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This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the subjqa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7950 |
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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: 1e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 18 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.1563 | 1.0 | 81 | 2.6200 | |
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| 2.0431 | 2.0 | 162 | 2.1380 | |
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| 1.8432 | 3.0 | 243 | 2.0108 | |
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| 1.7601 | 4.0 | 324 | 1.9526 | |
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| 1.6957 | 5.0 | 405 | 1.9126 | |
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| 1.6477 | 6.0 | 486 | 1.8846 | |
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| 1.6173 | 7.0 | 567 | 1.8699 | |
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| 1.5799 | 8.0 | 648 | 1.8527 | |
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| 1.5749 | 9.0 | 729 | 1.8367 | |
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| 1.5422 | 10.0 | 810 | 1.8281 | |
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| 1.5353 | 11.0 | 891 | 1.8208 | |
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| 1.529 | 12.0 | 972 | 1.8116 | |
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| 1.5101 | 13.0 | 1053 | 1.8049 | |
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| 1.5005 | 14.0 | 1134 | 1.8018 | |
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| 1.4932 | 15.0 | 1215 | 1.8008 | |
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| 1.4895 | 16.0 | 1296 | 1.7976 | |
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| 1.4817 | 17.0 | 1377 | 1.7957 | |
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| 1.4695 | 18.0 | 1458 | 1.7950 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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