| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: fresh-4-layer-gpqa |
| | 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. --> |
| |
|
| | # fresh-4-layer-gpqa |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1650 |
| | - Accuracy: 0.9697 |
| |
|
| | ## 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: 0.0005 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 321 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 20 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 13 | 1.3861 | 0.2424 | |
| | | No log | 2.0 | 26 | 1.3858 | 0.2576 | |
| | | No log | 3.0 | 39 | 1.3856 | 0.2828 | |
| | | No log | 4.0 | 52 | 1.3853 | 0.3131 | |
| | | No log | 5.0 | 65 | 1.3851 | 0.3232 | |
| | | No log | 6.0 | 78 | 1.3847 | 0.3131 | |
| | | No log | 7.0 | 91 | 1.3836 | 0.3384 | |
| | | No log | 8.0 | 104 | 1.3803 | 0.3636 | |
| | | No log | 9.0 | 117 | 1.3556 | 0.4545 | |
| | | No log | 10.0 | 130 | 1.0943 | 0.6414 | |
| | | No log | 11.0 | 143 | 0.8911 | 0.7374 | |
| | | No log | 12.0 | 156 | 0.6231 | 0.7475 | |
| | | No log | 13.0 | 169 | 0.4360 | 0.8384 | |
| | | No log | 14.0 | 182 | 0.3315 | 0.8889 | |
| | | No log | 15.0 | 195 | 0.2405 | 0.9444 | |
| | | No log | 16.0 | 208 | 0.1650 | 0.9697 | |
| | | No log | 17.0 | 221 | 0.1396 | 0.9444 | |
| | | No log | 18.0 | 234 | 0.1169 | 0.9646 | |
| | | No log | 19.0 | 247 | 0.1054 | 0.9545 | |
| | | No log | 20.0 | 260 | 0.1236 | 0.9697 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0.dev0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.0 |
| | |
