|
|
--- |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: fresh-2-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-2-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: 0.1303 |
|
|
- Accuracy: 0.9798 |
|
|
|
|
|
## 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 | 1.3863 | 0.2424 | |
|
|
| No log | 2.0 | 26 | 1.3861 | 0.2424 | |
|
|
| No log | 3.0 | 39 | 1.3859 | 0.2475 | |
|
|
| No log | 4.0 | 52 | 1.3857 | 0.2980 | |
|
|
| No log | 5.0 | 65 | 1.3854 | 0.3232 | |
|
|
| No log | 6.0 | 78 | 1.3846 | 0.2929 | |
|
|
| No log | 7.0 | 91 | 1.3836 | 0.3434 | |
|
|
| No log | 8.0 | 104 | 1.3776 | 0.4343 | |
|
|
| No log | 9.0 | 117 | 1.3345 | 0.6010 | |
|
|
| No log | 10.0 | 130 | 1.0517 | 0.6212 | |
|
|
| No log | 11.0 | 143 | 0.7070 | 0.7475 | |
|
|
| No log | 12.0 | 156 | 0.5129 | 0.8232 | |
|
|
| No log | 13.0 | 169 | 0.3645 | 0.8636 | |
|
|
| No log | 14.0 | 182 | 0.2729 | 0.9242 | |
|
|
| No log | 15.0 | 195 | 0.2573 | 0.9495 | |
|
|
| No log | 16.0 | 208 | 0.1570 | 0.9646 | |
|
|
| No log | 17.0 | 221 | 0.1303 | 0.9798 | |
|
|
| No log | 18.0 | 234 | 0.1164 | 0.9747 | |
|
|
| No log | 19.0 | 247 | 0.1218 | 0.9545 | |
|
|
| No log | 20.0 | 260 | 0.1037 | 0.9697 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.34.0.dev0 |
|
|
- Pytorch 2.0.1+cu117 |
|
|
- Datasets 2.14.5 |
|
|
- Tokenizers 0.14.0 |
|
|
|
