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DNADebertaSentencepiece30k_continuation

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deberta
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: DNADebertaSentencepiece30k_continuation
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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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+ # DNADebertaSentencepiece30k_continuation
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+
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.0813
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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: 5e-05
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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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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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: 15
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+ - mixed_precision_training: Native AMP
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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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+ | 6.4099 | 0.41 | 5000 | 6.3686 |
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+ | 6.4014 | 0.81 | 10000 | 6.3544 |
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+ | 6.3816 | 1.22 | 15000 | 6.3338 |
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+ | 6.3652 | 1.62 | 20000 | 6.3161 |
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+ | 6.3477 | 2.03 | 25000 | 6.2981 |
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+ | 6.3305 | 2.44 | 30000 | 6.2851 |
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+ | 6.3173 | 2.84 | 35000 | 6.2725 |
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+ | 6.306 | 3.25 | 40000 | 6.2559 |
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+ | 6.2903 | 3.66 | 45000 | 6.2447 |
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+ | 6.2806 | 4.06 | 50000 | 6.2342 |
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+ | 6.2654 | 4.47 | 55000 | 6.2213 |
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+ | 6.2592 | 4.87 | 60000 | 6.2101 |
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+ | 6.2481 | 5.28 | 65000 | 6.2023 |
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+ | 6.2394 | 5.69 | 70000 | 6.1929 |
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+ | 6.2295 | 6.09 | 75000 | 6.1833 |
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+ | 6.219 | 6.5 | 80000 | 6.1800 |
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+ | 6.2143 | 6.91 | 85000 | 6.1698 |
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+ | 6.2031 | 7.31 | 90000 | 6.1629 |
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+ | 6.2036 | 7.72 | 95000 | 6.1523 |
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+ | 6.1923 | 8.12 | 100000 | 6.1522 |
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+ | 6.1868 | 8.53 | 105000 | 6.1426 |
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+ | 6.1827 | 8.94 | 110000 | 6.1356 |
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+ | 6.1767 | 9.34 | 115000 | 6.1322 |
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+ | 6.1717 | 9.75 | 120000 | 6.1255 |
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+ | 6.1649 | 10.16 | 125000 | 6.1221 |
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+ | 6.1591 | 10.56 | 130000 | 6.1176 |
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+ | 6.1562 | 10.97 | 135000 | 6.1111 |
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+ | 6.15 | 11.37 | 140000 | 6.1063 |
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+ | 6.1488 | 11.78 | 145000 | 6.1046 |
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+ | 6.1449 | 12.19 | 150000 | 6.1023 |
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+ | 6.1397 | 12.59 | 155000 | 6.0961 |
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+ | 6.135 | 13.0 | 160000 | 6.0938 |
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+ | 6.1315 | 13.41 | 165000 | 6.0891 |
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+ | 6.1302 | 13.81 | 170000 | 6.0853 |
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+ | 6.1295 | 14.22 | 175000 | 6.0838 |
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+ | 6.1276 | 14.62 | 180000 | 6.0834 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.19.2
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+ - Pytorch 1.11.0
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+ - Datasets 2.2.2
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+ - Tokenizers 0.12.1