<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
gpt2-concat-all-base-rarity-all-iorder-est-5p5k
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3322
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 |
|---|---|---|---|
| 6.7625 | 0.31 | 500 | 5.6584 |
| 5.4053 | 0.63 | 1000 | 5.2182 |
| 5.0653 | 0.94 | 1500 | 4.9736 |
| 4.7706 | 1.25 | 2000 | 4.8109 |
| 4.6273 | 1.56 | 2500 | 4.6831 |
| 4.5134 | 1.88 | 3000 | 4.5789 |
| 4.3042 | 2.19 | 3500 | 4.5166 |
| 4.2107 | 2.5 | 4000 | 4.4533 |
| 4.1747 | 2.82 | 4500 | 4.3963 |
| 4.0257 | 3.13 | 5000 | 4.3718 |
| 3.8934 | 3.44 | 5500 | 4.3419 |
| 3.8694 | 3.75 | 6000 | 4.3086 |
| 3.7894 | 4.07 | 6500 | 4.2941 |
| 3.5908 | 4.38 | 7000 | 4.2908 |
| 3.586 | 4.69 | 7500 | 4.2727 |
| 3.5713 | 5.01 | 8000 | 4.2605 |
| 3.3959 | 5.32 | 8500 | 4.2717 |
| 3.3922 | 5.63 | 9000 | 4.2700 |
| 3.3874 | 5.94 | 9500 | 4.2690 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
