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datarpit
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toy-qa

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Transformers
PyTorch
distilbert
generated_from_trainer
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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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+ - natural_questions
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+ model-index:
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+ - name: toy-qa
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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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+ # toy-qa
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the natural_questions dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2284
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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: 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: 50
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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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+ | 5.3253 | 1.0 | 14 | 3.3435 |
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+ | 3.1799 | 2.0 | 28 | 0.6626 |
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+ | 2.8858 | 3.0 | 42 | 0.7105 |
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+ | 2.7921 | 4.0 | 56 | 0.5784 |
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+ | 2.3648 | 5.0 | 70 | 0.5843 |
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+ | 2.0496 | 6.0 | 84 | 0.3544 |
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+ | 1.5883 | 7.0 | 98 | 0.3406 |
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+ | 0.829 | 8.0 | 112 | 0.3717 |
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+ | 0.5334 | 9.0 | 126 | 0.4049 |
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+ | 0.4915 | 10.0 | 140 | 0.4101 |
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+ | 0.57 | 11.0 | 154 | 0.3464 |
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+ | 0.5129 | 12.0 | 168 | 0.3892 |
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+ | 0.4334 | 13.0 | 182 | 0.2455 |
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+ | 0.5406 | 14.0 | 196 | 0.2647 |
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+ | 0.2201 | 15.0 | 210 | 0.2422 |
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+ | 0.0917 | 16.0 | 224 | 0.2218 |
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+ | 0.1753 | 17.0 | 238 | 0.2453 |
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+ | 0.0231 | 18.0 | 252 | 0.2061 |
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+ | 0.1107 | 19.0 | 266 | 0.2102 |
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+ | 0.1182 | 20.0 | 280 | 0.2496 |
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+ | 0.0829 | 21.0 | 294 | 0.2151 |
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+ | 0.0775 | 22.0 | 308 | 0.2490 |
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+ | 0.0067 | 23.0 | 322 | 0.2369 |
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+ | 0.0058 | 24.0 | 336 | 0.2334 |
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+ | 0.005 | 25.0 | 350 | 0.2288 |
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+ | 0.0042 | 26.0 | 364 | 0.2148 |
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+ | 0.0071 | 27.0 | 378 | 0.2582 |
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+ | 0.0043 | 28.0 | 392 | 0.2232 |
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+ | 0.0028 | 29.0 | 406 | 0.2170 |
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+ | 0.0034 | 30.0 | 420 | 0.2290 |
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+ | 0.0021 | 31.0 | 434 | 0.2299 |
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+ | 0.0028 | 32.0 | 448 | 0.2214 |
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+ | 0.0019 | 33.0 | 462 | 0.2312 |
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+ | 0.002 | 34.0 | 476 | 0.2263 |
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+ | 0.0024 | 35.0 | 490 | 0.2397 |
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+ | 0.0019 | 36.0 | 504 | 0.2272 |
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+ | 0.0087 | 37.0 | 518 | 0.2321 |
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+ | 0.0016 | 38.0 | 532 | 0.2425 |
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+ | 0.0016 | 39.0 | 546 | 0.2449 |
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+ | 0.0014 | 40.0 | 560 | 0.2208 |
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+ | 0.0013 | 41.0 | 574 | 0.2185 |
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+ | 0.0013 | 42.0 | 588 | 0.2246 |
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+ | 0.0016 | 43.0 | 602 | 0.2344 |
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+ | 0.0016 | 44.0 | 616 | 0.2411 |
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+ | 0.0015 | 45.0 | 630 | 0.2345 |
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+ | 0.0015 | 46.0 | 644 | 0.2317 |
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+ | 0.0014 | 47.0 | 658 | 0.2289 |
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+ | 0.0011 | 48.0 | 672 | 0.2288 |
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+ | 0.0012 | 49.0 | 686 | 0.2288 |
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+ | 0.0013 | 50.0 | 700 | 0.2284 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0
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+ - Pytorch 1.10.0
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.6