metadata
license: mit
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: aochildes_gutenberg_fixed_log_rarity-mixed-seed
results: []
aochildes_gutenberg_fixed_log_rarity-mixed-seed
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1457
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 |
|---|---|---|---|
| 6.3592 | 0.29 | 500 | 5.3385 |
| 5.0519 | 0.59 | 1000 | 4.9203 |
| 4.7218 | 0.88 | 1500 | 4.6948 |
| 4.4531 | 1.17 | 2000 | 4.5553 |
| 4.3081 | 1.47 | 2500 | 4.4381 |
| 4.201 | 1.76 | 3000 | 4.3366 |
| 4.0871 | 2.05 | 3500 | 4.2702 |
| 3.9013 | 2.35 | 4000 | 4.2246 |
| 3.88 | 2.64 | 4500 | 4.1727 |
| 3.8385 | 2.93 | 5000 | 4.1257 |
| 3.6438 | 3.23 | 5500 | 4.1265 |
| 3.5973 | 3.52 | 6000 | 4.0988 |
| 3.5805 | 3.81 | 6500 | 4.0654 |
| 3.4762 | 4.11 | 7000 | 4.0753 |
| 3.3279 | 4.4 | 7500 | 4.0724 |
| 3.3237 | 4.69 | 8000 | 4.0616 |
| 3.3081 | 4.99 | 8500 | 4.0509 |
| 3.1497 | 5.28 | 9000 | 4.0682 |
| 3.1439 | 5.57 | 9500 | 4.0663 |
| 3.1428 | 5.87 | 10000 | 4.0656 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3