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cbt-rarity-all-guten-rarity-all-shuffled
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3144
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 |
|---|---|---|---|
| 6.6936 | 0.29 | 500 | 5.6373 |
| 5.3455 | 0.58 | 1000 | 5.2068 |
| 4.9918 | 0.87 | 1500 | 4.9529 |
| 4.7206 | 1.17 | 2000 | 4.7986 |
| 4.5625 | 1.46 | 2500 | 4.6814 |
| 4.4501 | 1.75 | 3000 | 4.5769 |
| 4.3341 | 2.04 | 3500 | 4.4914 |
| 4.1289 | 2.33 | 4000 | 4.4492 |
| 4.1029 | 2.62 | 4500 | 4.3892 |
| 4.0658 | 2.91 | 5000 | 4.3368 |
| 3.8669 | 3.21 | 5500 | 4.3328 |
| 3.7955 | 3.5 | 6000 | 4.3018 |
| 3.7944 | 3.79 | 6500 | 4.2674 |
| 3.7043 | 4.08 | 7000 | 4.2633 |
| 3.5179 | 4.37 | 7500 | 4.2601 |
| 3.5117 | 4.66 | 8000 | 4.2451 |
| 3.5008 | 4.95 | 8500 | 4.2339 |
| 3.3507 | 5.24 | 9000 | 4.2455 |
| 3.3229 | 5.54 | 9500 | 4.2429 |
| 3.3252 | 5.83 | 10000 | 4.2429 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
