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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_001_05_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_001_05_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: 0.5513 |
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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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| 73.5241 | 0.02 | 10 | 69.5822 | |
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| 46.0925 | 0.04 | 20 | 33.0099 | |
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| 13.5527 | 0.06 | 30 | 10.6424 | |
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| 6.8151 | 0.08 | 40 | 4.2013 | |
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| 3.5806 | 0.1 | 50 | 2.0893 | |
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| 1.4772 | 0.12 | 60 | 1.1276 | |
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| 1.1166 | 0.14 | 70 | 0.8410 | |
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| 0.8952 | 0.16 | 80 | 0.7324 | |
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| 0.7517 | 0.18 | 90 | 0.6448 | |
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| 0.7044 | 0.2 | 100 | 0.6761 | |
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| 0.6069 | 0.22 | 110 | 0.6436 | |
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| 0.6184 | 0.24 | 120 | 0.6057 | |
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| 0.6394 | 0.26 | 130 | 0.5877 | |
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| 0.6243 | 0.28 | 140 | 0.5719 | |
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| 0.598 | 0.3 | 150 | 0.5675 | |
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| 0.5848 | 0.32 | 160 | 0.5645 | |
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| 0.5161 | 0.34 | 170 | 0.5662 | |
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| 0.6247 | 0.36 | 180 | 0.5665 | |
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| 0.6243 | 0.38 | 190 | 0.5592 | |
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| 0.5768 | 0.4 | 200 | 0.5569 | |
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| 0.68 | 0.42 | 210 | 0.5583 | |
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| 0.627 | 0.44 | 220 | 0.5539 | |
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| 0.5369 | 0.46 | 230 | 0.5576 | |
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| 0.5449 | 0.48 | 240 | 0.5576 | |
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| 0.5456 | 0.5 | 250 | 0.5494 | |
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| 0.55 | 0.52 | 260 | 0.5559 | |
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| 0.5595 | 0.54 | 270 | 0.5525 | |
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| 0.5821 | 0.56 | 280 | 0.5513 | |
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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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