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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_04_hscnspecial-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_04_hscnspecial-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: 0.5583 |
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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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| 73.5419 | 0.02 | 10 | 69.5826 | |
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| 46.0912 | 0.04 | 20 | 32.9478 | |
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| 13.5577 | 0.06 | 30 | 10.6427 | |
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| 6.8429 | 0.08 | 40 | 4.2253 | |
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| 3.5596 | 0.1 | 50 | 2.0345 | |
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| 1.4308 | 0.12 | 60 | 1.0810 | |
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| 1.0569 | 0.14 | 70 | 0.8577 | |
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| 1.0017 | 0.16 | 80 | 0.8291 | |
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| 0.7285 | 0.18 | 90 | 0.6919 | |
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| 0.7232 | 0.2 | 100 | 0.6110 | |
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| 0.5979 | 0.22 | 110 | 0.6133 | |
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| 0.6368 | 0.24 | 120 | 0.6051 | |
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| 0.6606 | 0.26 | 130 | 0.6075 | |
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| 0.6428 | 0.28 | 140 | 0.5920 | |
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| 0.6106 | 0.3 | 150 | 0.5754 | |
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| 0.6218 | 0.32 | 160 | 0.5741 | |
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| 0.534 | 0.34 | 170 | 0.5633 | |
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| 0.6411 | 0.36 | 180 | 0.5685 | |
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| 0.6353 | 0.38 | 190 | 0.5805 | |
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| 0.5922 | 0.4 | 200 | 0.5556 | |
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| 0.6924 | 0.42 | 210 | 0.5595 | |
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| 0.6429 | 0.44 | 220 | 0.5601 | |
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| 0.5428 | 0.46 | 230 | 0.5583 | |
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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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