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update model card README.md

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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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+
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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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+
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+ # qamodel_distilbert
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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