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DNADebertaSentencepiece10k_continuation_continuation_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: DNADebertaSentencepiece10k_continuation_continuation_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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+ # DNADebertaSentencepiece10k_continuation_continuation_continuation
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+
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+ This model is a fine-tuned version of [Vlasta/DNADebertaSentencepiece10k_continuation_continuation](https://huggingface.co/Vlasta/DNADebertaSentencepiece10k_continuation_continuation) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.2605
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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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+ | 5.4076 | 0.36 | 5000 | 5.3702 |
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+ | 5.4146 | 0.72 | 10000 | 5.3677 |
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+ | 5.4119 | 1.08 | 15000 | 5.3661 |
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+ | 5.4093 | 1.45 | 20000 | 5.3577 |
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+ | 5.4055 | 1.81 | 25000 | 5.3574 |
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+ | 5.3987 | 2.17 | 30000 | 5.3539 |
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+ | 5.3974 | 2.53 | 35000 | 5.3509 |
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+ | 5.3931 | 2.89 | 40000 | 5.3431 |
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+ | 5.387 | 3.25 | 45000 | 5.3447 |
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+ | 5.3868 | 3.61 | 50000 | 5.3404 |
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+ | 5.3874 | 3.97 | 55000 | 5.3362 |
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+ | 5.3797 | 4.34 | 60000 | 5.3275 |
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+ | 5.3775 | 4.7 | 65000 | 5.3316 |
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+ | 5.3737 | 5.06 | 70000 | 5.3245 |
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+ | 5.367 | 5.42 | 75000 | 5.3228 |
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+ | 5.3679 | 5.78 | 80000 | 5.3193 |
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+ | 5.3648 | 6.14 | 85000 | 5.3185 |
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+ | 5.3586 | 6.5 | 90000 | 5.3149 |
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+ | 5.361 | 6.86 | 95000 | 5.3086 |
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+ | 5.3572 | 7.23 | 100000 | 5.3080 |
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+ | 5.3521 | 7.59 | 105000 | 5.3057 |
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+ | 5.3516 | 7.95 | 110000 | 5.3020 |
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+ | 5.3481 | 8.31 | 115000 | 5.2997 |
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+ | 5.3453 | 8.67 | 120000 | 5.2990 |
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+ | 5.3446 | 9.03 | 125000 | 5.2951 |
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+ | 5.3418 | 9.39 | 130000 | 5.2888 |
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+ | 5.3341 | 9.75 | 135000 | 5.2860 |
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+ | 5.3371 | 10.12 | 140000 | 5.2879 |
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+ | 5.3319 | 10.48 | 145000 | 5.2845 |
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+ | 5.3316 | 10.84 | 150000 | 5.2822 |
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+ | 5.3306 | 11.2 | 155000 | 5.2803 |
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+ | 5.3272 | 11.56 | 160000 | 5.2743 |
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+ | 5.3224 | 11.92 | 165000 | 5.2724 |
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+ | 5.3224 | 12.28 | 170000 | 5.2726 |
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+ | 5.3217 | 12.64 | 175000 | 5.2712 |
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+ | 5.3167 | 13.01 | 180000 | 5.2663 |
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+ | 5.3148 | 13.37 | 185000 | 5.2659 |
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+ | 5.3154 | 13.73 | 190000 | 5.2624 |
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+ | 5.3119 | 14.09 | 195000 | 5.2627 |
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+ | 5.3122 | 14.45 | 200000 | 5.2599 |
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+ | 5.3091 | 14.81 | 205000 | 5.2586 |
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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