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: 3.4075
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.35 | 100 | 2.9223 |
| No log | 0.71 | 200 | 2.8218 |
| No log | 1.06 | 300 | 2.8172 |
| No log | 1.42 | 400 | 2.8195 |
| 2.0569 | 1.77 | 500 | 2.8013 |
| 2.0569 | 2.13 | 600 | 2.9228 |
| 2.0569 | 2.48 | 700 | 2.8839 |
| 2.0569 | 2.84 | 800 | 2.8726 |
| 2.0569 | 3.19 | 900 | 2.9708 |
| 1.5152 | 3.55 | 1000 | 3.0117 |
| 1.5152 | 3.9 | 1100 | 3.0086 |
| 1.5152 | 4.26 | 1200 | 3.1463 |
| 1.5152 | 4.61 | 1300 | 3.1017 |
| 1.5152 | 4.96 | 1400 | 3.1402 |
| 1.1351 | 5.32 | 1500 | 3.2704 |
| 1.1351 | 5.67 | 1600 | 3.2296 |
| 1.1351 | 6.03 | 1700 | 3.2465 |
| 1.1351 | 6.38 | 1800 | 3.3639 |
| 1.1351 | 6.74 | 1900 | 3.3311 |
| 0.9 | 7.09 | 2000 | 3.3541 |
| 0.9 | 7.45 | 2100 | 3.3887 |
| 0.9 | 7.8 | 2200 | 3.4075 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0