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--- |
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license: mit |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: openai-community/gpt2 |
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model-index: |
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- name: outputs |
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results: [] |
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pipeline_tag: text-generation |
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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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# outputs |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co./openai-community/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0494 |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 0.03 |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9872 | 4.0 | 184 | 1.7517 | |
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| 1.769 | 8.0 | 368 | 1.3586 | |
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| 1.5071 | 12.0 | 552 | 1.2644 | |
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| 1.4096 | 16.0 | 736 | 1.2088 | |
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| 1.3405 | 20.0 | 920 | 1.1738 | |
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| 1.2971 | 24.0 | 1104 | 1.1478 | |
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| 1.2609 | 28.0 | 1288 | 1.1241 | |
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| 1.2328 | 32.0 | 1472 | 1.1112 | |
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| 1.2087 | 36.0 | 1656 | 1.0996 | |
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| 1.1919 | 40.0 | 1840 | 1.0918 | |
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| 1.1687 | 44.0 | 2024 | 1.0868 | |
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| 1.157 | 48.0 | 2208 | 1.0768 | |
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| 1.1436 | 52.0 | 2392 | 1.0724 | |
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| 1.1296 | 56.0 | 2576 | 1.0684 | |
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| 1.1147 | 60.0 | 2760 | 1.0657 | |
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| 1.1082 | 64.0 | 2944 | 1.0622 | |
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| 1.102 | 68.0 | 3128 | 1.0578 | |
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| 1.0925 | 72.0 | 3312 | 1.0573 | |
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| 1.0865 | 76.0 | 3496 | 1.0533 | |
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| 1.0786 | 80.0 | 3680 | 1.0534 | |
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| 1.076 | 84.0 | 3864 | 1.0523 | |
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| 1.0764 | 88.0 | 4048 | 1.0505 | |
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| 1.0685 | 92.0 | 4232 | 1.0495 | |
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| 1.0684 | 96.0 | 4416 | 1.0489 | |
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| 1.0662 | 100.0 | 4600 | 1.0494 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
