| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: GenerativeQnASystem |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # GenerativeQnASystem |
| |
|
| | 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: 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 |
| |
|
