gpt2-finetuned-wikitext2
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: IPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- training precision: Mixed Precision
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| 4.1344 |
1.0 |
145 |
3.7656 |
| 3.8846 |
2.0 |
290 |
3.6953 |
| 3.7496 |
3.0 |
435 |
3.6758 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.10.0+cpu
- Datasets 2.7.1
- Tokenizers 0.12.1
