hateful-memes-with-captions-general-model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2681
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: 400
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4773 | 1.0 | 765 | 1.4151 |
| 1.3091 | 2.0 | 1530 | 1.3275 |
| 1.2944 | 3.0 | 2295 | 1.2924 |
| 1.2647 | 4.0 | 3060 | 1.2738 |
| 1.2618 | 5.0 | 3825 | 1.2681 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3
- Downloads last month
- 6
Model tree for AdoCleanCode/hateful-memes-with-captions-general-model
Base model
openai-community/gpt2