license: mit | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: GPT2-qa | |
results: [] | |
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# GPT2-qa | |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 4.2957 | |
## 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: 2 | |
- eval_batch_size: 2 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:-----:|:---------------:| | |
| 4.1563 | 1.0 | 30926 | 4.6165 | | |
| 3.7545 | 2.0 | 61852 | 3.9101 | | |
| 3.3745 | 3.0 | 92778 | 4.2957 | | |
### Framework versions | |
- Transformers 4.25.1 | |
- Pytorch 1.11.0+cu102 | |
- Datasets 2.8.0 | |
- Tokenizers 0.13.2 | |