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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-ear_1_migrants-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-ear_1_migrants-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: 0.5331 |
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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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| 69.995 | 0.03 | 10 | 64.5661 | |
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| 28.3476 | 0.06 | 20 | 18.0685 | |
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| 5.2324 | 0.08 | 30 | 6.3912 | |
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| 0.7104 | 0.11 | 40 | 2.7627 | |
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| -0.8669 | 0.14 | 50 | 1.2027 | |
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| -1.7912 | 0.17 | 60 | 0.8591 | |
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| -1.7957 | 0.2 | 70 | 0.7706 | |
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| -2.1587 | 0.23 | 80 | 0.7197 | |
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| -2.1961 | 0.25 | 90 | 0.6167 | |
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| -2.1901 | 0.28 | 100 | 0.6059 | |
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| -2.0514 | 0.31 | 110 | 0.5845 | |
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| -2.0839 | 0.34 | 120 | 0.5717 | |
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| -2.1579 | 0.37 | 130 | 0.5667 | |
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| -2.0266 | 0.4 | 140 | 0.5601 | |
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| -2.2698 | 0.42 | 150 | 0.5582 | |
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| -2.1635 | 0.45 | 160 | 0.5694 | |
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| -2.1359 | 0.48 | 170 | 0.5584 | |
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| -2.1628 | 0.51 | 180 | 0.5510 | |
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| -2.0485 | 0.54 | 190 | 0.5520 | |
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| -2.1333 | 0.57 | 200 | 0.5431 | |
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| -2.2908 | 0.59 | 210 | 0.5438 | |
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| -2.1131 | 0.62 | 220 | 0.5545 | |
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| -2.1988 | 0.65 | 230 | 0.5371 | |
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| -2.187 | 0.68 | 240 | 0.5349 | |
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| -2.0381 | 0.71 | 250 | 0.5504 | |
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| -2.1413 | 0.74 | 260 | 0.5293 | |
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| -2.0951 | 0.76 | 270 | 0.5257 | |
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| -2.2314 | 0.79 | 280 | 0.5263 | |
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| -2.1851 | 0.82 | 290 | 0.5291 | |
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| -2.2318 | 0.85 | 300 | 0.5331 | |
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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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