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aochildes-rarity-cut-seed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1101
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 |
|---|---|---|---|
| 6.3624 | 0.29 | 500 | 5.3343 |
| 5.0455 | 0.59 | 1000 | 4.9292 |
| 4.7107 | 0.88 | 1500 | 4.6879 |
| 4.4591 | 1.17 | 2000 | 4.5561 |
| 4.2953 | 1.47 | 2500 | 4.4318 |
| 4.2147 | 1.76 | 3000 | 4.3352 |
| 4.0884 | 2.05 | 3500 | 4.2604 |
| 3.9103 | 2.35 | 4000 | 4.2156 |
| 3.8754 | 2.64 | 4500 | 4.1582 |
| 3.8363 | 2.93 | 5000 | 4.1057 |
| 3.6358 | 3.23 | 5500 | 4.1014 |
| 3.5993 | 3.52 | 6000 | 4.0741 |
| 3.5761 | 3.81 | 6500 | 4.0400 |
| 3.4696 | 4.11 | 7000 | 4.0451 |
| 3.3244 | 4.4 | 7500 | 4.0396 |
| 3.3218 | 4.69 | 8000 | 4.0236 |
| 3.3052 | 4.99 | 8500 | 4.0126 |
| 3.1505 | 5.28 | 9000 | 4.0264 |
| 3.1367 | 5.58 | 9500 | 4.0244 |
| 3.1421 | 5.87 | 10000 | 4.0240 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
