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--- |
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base_model: ai-forever/rugpt3medium_based_on_gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: my_rugpt3medium_finetune |
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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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# my_rugpt3medium_finetune |
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This model is a fine-tuned version of [ai-forever/rugpt3medium_based_on_gpt2](https://huggingface.co/ai-forever/rugpt3medium_based_on_gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9955 |
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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-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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- gradient_accumulation_steps: 3 |
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- total_train_batch_size: 24 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 35 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.5373 | 0.46 | 25 | 3.4828 | |
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| 3.5265 | 0.93 | 50 | 3.4708 | |
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| 3.478 | 1.39 | 75 | 3.4398 | |
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| 3.4851 | 1.85 | 100 | 3.3995 | |
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| 3.4407 | 2.31 | 125 | 3.3609 | |
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| 3.3731 | 2.78 | 150 | 3.3241 | |
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| 3.3584 | 3.24 | 175 | 3.2886 | |
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| 3.3267 | 3.7 | 200 | 3.2540 | |
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| 3.3043 | 4.17 | 225 | 3.2200 | |
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| 3.229 | 4.63 | 250 | 3.1853 | |
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| 3.2618 | 5.09 | 275 | 3.1508 | |
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| 3.1823 | 5.56 | 300 | 3.1164 | |
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| 3.172 | 6.02 | 325 | 3.0779 | |
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| 3.1354 | 6.48 | 350 | 3.0395 | |
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| 3.0899 | 6.94 | 375 | 2.9987 | |
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| 3.0741 | 7.41 | 400 | 2.9577 | |
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| 3.009 | 7.87 | 425 | 2.9140 | |
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| 2.9598 | 8.33 | 450 | 2.8737 | |
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| 2.9187 | 8.8 | 475 | 2.8294 | |
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| 2.9378 | 9.26 | 500 | 2.7842 | |
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| 2.8396 | 9.72 | 525 | 2.7374 | |
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| 2.8608 | 10.19 | 550 | 2.6889 | |
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| 2.7296 | 10.65 | 575 | 2.6405 | |
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| 2.7452 | 11.11 | 600 | 2.5926 | |
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| 2.6882 | 11.57 | 625 | 2.5389 | |
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| 2.6463 | 12.04 | 650 | 2.4893 | |
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| 2.572 | 12.5 | 675 | 2.4356 | |
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| 2.5384 | 12.96 | 700 | 2.3788 | |
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| 2.5246 | 13.43 | 725 | 2.3296 | |
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| 2.4055 | 13.89 | 750 | 2.2747 | |
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| 2.3759 | 14.35 | 775 | 2.2155 | |
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| 2.3351 | 14.81 | 800 | 2.1606 | |
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| 2.286 | 15.28 | 825 | 2.1061 | |
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| 2.2694 | 15.74 | 850 | 2.0504 | |
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| 2.1745 | 16.2 | 875 | 1.9967 | |
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| 2.1053 | 16.67 | 900 | 1.9411 | |
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| 2.1184 | 17.13 | 925 | 1.8878 | |
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| 2.0107 | 17.59 | 950 | 1.8362 | |
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| 2.027 | 18.06 | 975 | 1.7854 | |
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| 1.9153 | 18.52 | 1000 | 1.7304 | |
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| 1.9267 | 18.98 | 1025 | 1.6854 | |
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| 1.8131 | 19.44 | 1050 | 1.6331 | |
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| 1.8405 | 19.91 | 1075 | 1.5839 | |
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| 1.7294 | 20.37 | 1100 | 1.5370 | |
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| 1.7154 | 20.83 | 1125 | 1.4971 | |
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| 1.6573 | 21.3 | 1150 | 1.4476 | |
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| 1.6391 | 21.76 | 1175 | 1.4130 | |
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| 1.5497 | 22.22 | 1200 | 1.3727 | |
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| 1.5194 | 22.69 | 1225 | 1.3378 | |
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| 1.535 | 23.15 | 1250 | 1.3000 | |
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| 1.4514 | 23.61 | 1275 | 1.2714 | |
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| 1.4711 | 24.07 | 1300 | 1.2388 | |
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| 1.4105 | 24.54 | 1325 | 1.2136 | |
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| 1.4202 | 25.0 | 1350 | 1.1890 | |
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| 1.3351 | 25.46 | 1375 | 1.1679 | |
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| 1.3575 | 25.93 | 1400 | 1.1440 | |
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| 1.2882 | 26.39 | 1425 | 1.1202 | |
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| 1.3378 | 26.85 | 1450 | 1.1074 | |
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| 1.3094 | 27.31 | 1475 | 1.0864 | |
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| 1.2793 | 27.78 | 1500 | 1.0743 | |
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| 1.2377 | 28.24 | 1525 | 1.0626 | |
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| 1.2693 | 28.7 | 1550 | 1.0468 | |
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| 1.2157 | 29.17 | 1575 | 1.0368 | |
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| 1.2007 | 29.63 | 1600 | 1.0263 | |
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| 1.2376 | 30.09 | 1625 | 1.0221 | |
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| 1.2216 | 30.56 | 1650 | 1.0136 | |
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| 1.1923 | 31.02 | 1675 | 1.0102 | |
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| 1.2143 | 31.48 | 1700 | 1.0039 | |
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| 1.1764 | 31.94 | 1725 | 1.0014 | |
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| 1.1654 | 32.41 | 1750 | 0.9990 | |
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| 1.2031 | 32.87 | 1775 | 0.9976 | |
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| 1.1952 | 33.33 | 1800 | 0.9965 | |
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| 1.1852 | 33.8 | 1825 | 0.9961 | |
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| 1.1737 | 34.26 | 1850 | 0.9959 | |
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| 1.1609 | 34.72 | 1875 | 0.9955 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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