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--- |
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library_name: transformers |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: general_model_no_sports_v7_100_000 |
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results: [] |
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datasets: |
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- AdoCleanCode/general_train_dataset_no_sports |
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language: |
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- en |
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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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# general_model_no_sports_v7_100_000 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on a [COCO subset](https://huggingface.co/AdoCleanCode/general_train_dataset_no_sports) with labeling: Label 0: No physical activity, Label 1: Related to physical activity. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8762 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.1166 | 1.0 | 4431 | 1.0106 | |
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| 0.9943 | 2.0 | 8862 | 0.9314 | |
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| 0.9394 | 3.0 | 13293 | 0.8984 | |
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| 0.9068 | 4.0 | 17724 | 0.8823 | |
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| 0.8828 | 5.0 | 22155 | 0.8762 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.20.3 |
