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cbt-rarity-all-end-p8k-guten-rarity-all-mixed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3161
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 |
|---|---|---|---|
| 6.6958 | 0.29 | 500 | 5.6331 |
| 5.3364 | 0.58 | 1000 | 5.2041 |
| 4.9968 | 0.88 | 1500 | 4.9505 |
| 4.7186 | 1.17 | 2000 | 4.8044 |
| 4.5561 | 1.46 | 2500 | 4.6841 |
| 4.4622 | 1.75 | 3000 | 4.5747 |
| 4.3263 | 2.04 | 3500 | 4.4949 |
| 4.1311 | 2.33 | 4000 | 4.4481 |
| 4.101 | 2.63 | 4500 | 4.3896 |
| 4.0645 | 2.92 | 5000 | 4.3353 |
| 3.871 | 3.21 | 5500 | 4.3306 |
| 3.8006 | 3.5 | 6000 | 4.3048 |
| 3.7879 | 3.79 | 6500 | 4.2723 |
| 3.6977 | 4.08 | 7000 | 4.2640 |
| 3.5167 | 4.38 | 7500 | 4.2617 |
| 3.5203 | 4.67 | 8000 | 4.2466 |
| 3.5051 | 4.96 | 8500 | 4.2353 |
| 3.3506 | 5.25 | 9000 | 4.2461 |
| 3.3237 | 5.54 | 9500 | 4.2458 |
| 3.3231 | 5.83 | 10000 | 4.2450 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
