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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_04-hs_cn-loto_migrants
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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-hs_cn-loto_migrants
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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: 0.5142
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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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| 72.7331 | 0.03 | 10 | 64.5524 |
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| 31.1386 | 0.06 | 20 | 18.0676 |
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| 8.0161 | 0.08 | 30 | 6.4050 |
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| 3.3753 | 0.11 | 40 | 2.7106 |
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| 1.601 | 0.14 | 50 | 1.1822 |
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| 0.9923 | 0.17 | 60 | 0.8619 |
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| 1.0632 | 0.2 | 70 | 0.8305 |
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| 0.7501 | 0.23 | 80 | 0.6396 |
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| 0.6715 | 0.25 | 90 | 0.6099 |
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| 0.5965 | 0.28 | 100 | 0.6137 |
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| 0.711 | 0.31 | 110 | 0.5942 |
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| 0.6546 | 0.34 | 120 | 0.5745 |
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| 0.6075 | 0.37 | 130 | 0.5696 |
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| 0.5607 | 0.4 | 140 | 0.5633 |
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| 0.5469 | 0.42 | 150 | 0.5569 |
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| 0.6887 | 0.45 | 160 | 0.5543 |
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| 0.6184 | 0.48 | 170 | 0.5495 |
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| 0.596 | 0.51 | 180 | 0.5474 |
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| 0.6104 | 0.54 | 190 | 0.5442 |
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| 0.5553 | 0.57 | 200 | 0.5388 |
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| 0.5714 | 0.59 | 210 | 0.5346 |
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| 0.534 | 0.62 | 220 | 0.5356 |
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| 0.5739 | 0.65 | 230 | 0.5326 |
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| 0.5873 | 0.68 | 240 | 0.5298 |
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| 0.619 | 0.71 | 250 | 0.5312 |
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| 0.6038 | 0.74 | 260 | 0.5282 |
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| 0.6058 | 0.76 | 270 | 0.5241 |
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| 0.5508 | 0.79 | 280 | 0.5252 |
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| 0.5919 | 0.82 | 290 | 0.5233 |
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| 0.6513 | 0.85 | 300 | 0.5206 |
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| 0.6376 | 0.88 | 310 | 0.5178 |
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| 0.6252 | 0.91 | 320 | 0.5181 |
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| 0.5341 | 0.93 | 330 | 0.5160 |
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| 0.5913 | 0.96 | 340 | 0.5139 |
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| 0.6227 | 0.99 | 350 | 0.5143 |
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| 0.4582 | 1.02 | 360 | 0.5140 |
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| 0.5281 | 1.05 | 370 | 0.5142 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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