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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2-kl_01_07-hs_cn |
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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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# gpt2-kl_01_07-hs_cn |
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5492 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 21 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 73.6057 | 0.02 | 10 | 69.5688 | |
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| 46.1297 | 0.04 | 20 | 32.9398 | |
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| 13.6236 | 0.06 | 30 | 10.6408 | |
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| 6.8926 | 0.08 | 40 | 4.2341 | |
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| 3.624 | 0.1 | 50 | 2.0277 | |
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| 1.4923 | 0.12 | 60 | 1.0828 | |
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| 1.1113 | 0.14 | 70 | 0.8631 | |
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| 1.0637 | 0.16 | 80 | 0.8401 | |
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| 0.8052 | 0.18 | 90 | 0.7114 | |
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| 0.8037 | 0.2 | 100 | 0.6471 | |
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| 0.6838 | 0.22 | 110 | 0.5986 | |
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| 0.6964 | 0.24 | 120 | 0.5857 | |
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| 0.7026 | 0.26 | 130 | 0.5939 | |
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| 0.7504 | 0.28 | 140 | 0.5821 | |
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| 0.6942 | 0.3 | 150 | 0.5732 | |
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| 0.6843 | 0.32 | 160 | 0.5735 | |
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| 0.5917 | 0.34 | 170 | 0.5641 | |
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| 0.7147 | 0.36 | 180 | 0.5679 | |
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| 0.7191 | 0.38 | 190 | 0.5727 | |
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| 0.6479 | 0.4 | 200 | 0.5622 | |
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| 0.7827 | 0.42 | 210 | 0.5531 | |
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| 0.7211 | 0.44 | 220 | 0.5480 | |
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| 0.6038 | 0.46 | 230 | 0.5514 | |
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| 0.6323 | 0.48 | 240 | 0.5456 | |
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| 0.6168 | 0.5 | 250 | 0.5470 | |
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| 0.6322 | 0.52 | 260 | 0.5515 | |
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| 0.6365 | 0.54 | 270 | 0.5492 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 1.12.0a0+bd13bc6 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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