metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: kant-gpt2-large
results: []
kant-gpt2-large
This model is a fine-tuned version of benjamin/gerpt2-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2487
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.5332 | 1.0 | 11347 | 3.5015 |
3.1448 | 2.0 | 22694 | 3.4149 |
2.8081 | 3.0 | 34041 | 3.4495 |
2.4535 | 4.0 | 45388 | 3.5714 |
2.1844 | 5.0 | 56735 | 3.7579 |
1.9625 | 6.0 | 68082 | 3.9492 |
1.7585 | 7.0 | 79429 | 4.1280 |
1.6407 | 8.0 | 90776 | 4.2487 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1