aochildes-log-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: 4.1414
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 |
---|---|---|---|
6.3548 | 0.29 | 500 | 5.3339 |
5.0444 | 0.59 | 1000 | 4.9261 |
4.7132 | 0.88 | 1500 | 4.6909 |
4.4499 | 1.17 | 2000 | 4.5531 |
4.3078 | 1.47 | 2500 | 4.4357 |
4.2045 | 1.76 | 3000 | 4.3447 |
4.0812 | 2.05 | 3500 | 4.2654 |
3.8961 | 2.35 | 4000 | 4.2330 |
3.8785 | 2.64 | 4500 | 4.1725 |
3.8431 | 2.93 | 5000 | 4.1244 |
3.6353 | 3.23 | 5500 | 4.1232 |
3.5952 | 3.52 | 6000 | 4.1008 |
3.5747 | 3.81 | 6500 | 4.0651 |
3.4761 | 4.11 | 7000 | 4.0742 |
3.3222 | 4.4 | 7500 | 4.0703 |
3.3167 | 4.69 | 8000 | 4.0574 |
3.3126 | 4.99 | 8500 | 4.0452 |
3.149 | 5.28 | 9000 | 4.0642 |
3.1431 | 5.57 | 9500 | 4.0633 |
3.1358 | 5.87 | 10000 | 4.0628 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
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