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guten-rarity-all-2p5k-new-loop-pad
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1094
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 |
|---|---|---|---|
| 6.3411 | 0.29 | 500 | 5.3294 |
| 5.0351 | 0.59 | 1000 | 4.9217 |
| 4.6992 | 0.88 | 1500 | 4.6845 |
| 4.4384 | 1.17 | 2000 | 4.5472 |
| 4.2978 | 1.47 | 2500 | 4.4367 |
| 4.1913 | 1.76 | 3000 | 4.3251 |
| 4.0633 | 2.05 | 3500 | 4.2502 |
| 3.8878 | 2.35 | 4000 | 4.2082 |
| 3.8681 | 2.64 | 4500 | 4.1543 |
| 3.8277 | 2.93 | 5000 | 4.1016 |
| 3.6261 | 3.23 | 5500 | 4.0978 |
| 3.5799 | 3.52 | 6000 | 4.0721 |
| 3.5646 | 3.81 | 6500 | 4.0346 |
| 3.4647 | 4.11 | 7000 | 4.0380 |
| 3.3178 | 4.4 | 7500 | 4.0325 |
| 3.3065 | 4.69 | 8000 | 4.0192 |
| 3.2975 | 4.99 | 8500 | 4.0058 |
| 3.1401 | 5.28 | 9000 | 4.0190 |
| 3.1306 | 5.57 | 9500 | 4.0182 |
| 3.1293 | 5.87 | 10000 | 4.0176 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
