metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-NaturalQuestions_2000-ep10
results: []
gpt2-NaturalQuestions_2000-ep10
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2623
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: 48
- eval_batch_size: 96
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7729 | 1.19 | 50 | 1.3828 |
| 1.3858 | 2.38 | 100 | 1.3218 |
| 1.2412 | 3.57 | 150 | 1.2883 |
| 1.1523 | 4.76 | 200 | 1.2754 |
| 1.0974 | 5.95 | 250 | 1.2666 |
| 1.0434 | 7.14 | 300 | 1.2632 |
| 1.0097 | 8.33 | 350 | 1.2625 |
| 0.9939 | 9.52 | 400 | 1.2622 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.13.3