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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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metrics: |
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- accuracy |
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model-index: |
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- name: gpt2-sweep |
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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-sweep |
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This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0773 |
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- Accuracy: 0.8482 |
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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: 2.294477077303931e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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_steps: 1000 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 2.4891 | 0.19 | 1000 | 2.4467 | 0.8446 | |
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| 2.7019 | 0.37 | 2000 | 2.3208 | 0.8456 | |
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| 2.5278 | 0.56 | 3000 | 2.2470 | 0.8464 | |
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| 2.0687 | 0.74 | 4000 | 2.1953 | 0.8468 | |
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| 2.1738 | 0.93 | 5000 | 2.1543 | 0.8472 | |
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| 1.8554 | 1.12 | 6000 | 2.1500 | 0.8475 | |
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| 1.9276 | 1.3 | 7000 | 2.1223 | 0.8477 | |
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| 1.7988 | 1.49 | 8000 | 2.1120 | 0.8479 | |
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| 2.0632 | 1.67 | 9000 | 2.0973 | 0.8480 | |
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| 1.9586 | 1.86 | 10000 | 2.0826 | 0.8481 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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