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README.md
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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_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_07_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: 0.5377
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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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| 73.5948 | 0.02 | 10 | 69.5786 |
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| 46.1586 | 0.04 | 20 | 32.9619 |
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| 13.6007 | 0.06 | 30 | 10.6513 |
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| 6.8042 | 0.08 | 40 | 4.2289 |
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| 2.8577 | 0.1 | 50 | 2.1080 |
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| 1.447 | 0.12 | 60 | 1.1006 |
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| 1.2972 | 0.14 | 70 | 0.9296 |
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| 0.9482 | 0.16 | 80 | 0.7053 |
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| 0.7817 | 0.18 | 90 | 0.7118 |
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| 0.7763 | 0.2 | 100 | 0.6232 |
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| 0.6719 | 0.22 | 110 | 0.5972 |
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| 0.6852 | 0.24 | 120 | 0.5835 |
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| 0.7033 | 0.26 | 130 | 0.5850 |
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| 0.6782 | 0.28 | 140 | 0.5815 |
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| 0.6635 | 0.3 | 150 | 0.5757 |
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| 0.6405 | 0.32 | 160 | 0.5796 |
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| 0.5739 | 0.34 | 170 | 0.5705 |
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| 0.7139 | 0.36 | 180 | 0.5606 |
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| 0.6883 | 0.38 | 190 | 0.5592 |
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| 0.6429 | 0.4 | 200 | 0.5586 |
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| 0.7397 | 0.42 | 210 | 0.5511 |
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| 0.6993 | 0.44 | 220 | 0.5484 |
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| 0.5946 | 0.46 | 230 | 0.5515 |
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| 0.6172 | 0.48 | 240 | 0.5473 |
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| 0.6077 | 0.5 | 250 | 0.5442 |
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| 0.6148 | 0.52 | 260 | 0.5435 |
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| 0.6213 | 0.54 | 270 | 0.5425 |
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| 0.6431 | 0.56 | 280 | 0.5414 |
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| 0.6459 | 0.58 | 290 | 0.5392 |
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| 0.604 | 0.6 | 300 | 0.5394 |
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| 0.603 | 0.62 | 310 | 0.5368 |
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| 0.7207 | 0.64 | 320 | 0.5387 |
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| 0.5689 | 0.66 | 330 | 0.5407 |
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| 0.5721 | 0.68 | 340 | 0.5377 |
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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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