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guten-mod-rarity-all-end-est-19k
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3119
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 |
|---|---|---|---|
| 6.6905 | 0.29 | 500 | 5.6474 |
| 5.341 | 0.59 | 1000 | 5.2080 |
| 4.9929 | 0.88 | 1500 | 4.9578 |
| 4.716 | 1.17 | 2000 | 4.8093 |
| 4.5529 | 1.47 | 2500 | 4.6791 |
| 4.4478 | 1.76 | 3000 | 4.5686 |
| 4.32 | 2.05 | 3500 | 4.4927 |
| 4.133 | 2.35 | 4000 | 4.4466 |
| 4.1021 | 2.64 | 4500 | 4.3862 |
| 4.0551 | 2.93 | 5000 | 4.3333 |
| 3.8497 | 3.23 | 5500 | 4.3300 |
| 3.8038 | 3.52 | 6000 | 4.2997 |
| 3.7766 | 3.81 | 6500 | 4.2648 |
| 3.6682 | 4.11 | 7000 | 4.2638 |
| 3.5163 | 4.4 | 7500 | 4.2577 |
| 3.5129 | 4.69 | 8000 | 4.2423 |
| 3.502 | 4.99 | 8500 | 4.2289 |
| 3.3286 | 5.28 | 9000 | 4.2431 |
| 3.3215 | 5.58 | 9500 | 4.2421 |
| 3.3231 | 5.87 | 10000 | 4.2414 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
