No Sports downsampled
Collection
Full Deepdeception Reduction pipeline, models, training and test sets on the COCO dataset, sports/no sports labeling.
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7 items
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Updated
general_model_no_sports_v6_080_020
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8548
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0766 | 1.0 | 5378 | 0.9826 |
| 0.9671 | 2.0 | 10756 | 0.9077 |
| 0.9107 | 3.0 | 16134 | 0.8767 |
| 0.8871 | 4.0 | 21512 | 0.8609 |
| 0.8758 | 5.0 | 26890 | 0.8548 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3
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Base model
openai-community/gpt2