metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: GenerativeQnASystem
results: []
GenerativeQnASystem
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7576
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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.35 | 100 | 2.8787 |
| No log | 0.71 | 200 | 2.8137 |
| No log | 1.06 | 300 | 2.7626 |
| No log | 1.42 | 400 | 2.7541 |
| 2.4388 | 1.77 | 500 | 2.7576 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0