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jokes-gpt
This model is a fine-tuned version of AlekseyKorshuk/gpt2-jokes on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0086
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 1 | 2.9068 |
No log | 2.0 | 2 | 1.2312 |
No log | 3.0 | 3 | 0.3042 |
No log | 4.0 | 4 | 0.1068 |
No log | 5.0 | 5 | 0.0361 |
No log | 6.0 | 6 | 0.0185 |
No log | 7.0 | 7 | 0.0108 |
No log | 8.0 | 8 | 0.0086 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3