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open_subtitles-rarity-seed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1682
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
6.4199 | 0.3 | 500 | 5.3681 |
5.1161 | 0.61 | 1000 | 4.9701 |
4.7841 | 0.91 | 1500 | 4.7418 |
4.5196 | 1.22 | 2000 | 4.5972 |
4.387 | 1.52 | 2500 | 4.4915 |
4.2777 | 1.83 | 3000 | 4.3846 |
4.1105 | 2.13 | 3500 | 4.3262 |
3.9981 | 2.44 | 4000 | 4.2709 |
3.9534 | 2.74 | 4500 | 4.2104 |
3.8755 | 3.05 | 5000 | 4.1790 |
3.6789 | 3.35 | 5500 | 4.1529 |
3.6771 | 3.66 | 6000 | 4.1294 |
3.6542 | 3.96 | 6500 | 4.0885 |
3.4322 | 4.27 | 7000 | 4.1019 |
3.4119 | 4.57 | 7500 | 4.0906 |
3.4004 | 4.88 | 8000 | 4.0777 |
3.2902 | 5.18 | 8500 | 4.0884 |
3.227 | 5.49 | 9000 | 4.0850 |
3.2263 | 5.79 | 9500 | 4.0849 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3