|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: fresh-2-layer-arc-distill-of-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-arc-distill-of-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: 17.6969 |
|
- Accuracy: 0.4697 |
|
|
|
## 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 | 63 | 15.3758 | 0.2980 | |
|
| No log | 2.0 | 126 | 17.7481 | 0.3131 | |
|
| No log | 3.0 | 189 | 17.2496 | 0.3485 | |
|
| No log | 4.0 | 252 | 21.2791 | 0.3889 | |
|
| No log | 5.0 | 315 | 15.8656 | 0.4091 | |
|
| No log | 6.0 | 378 | 17.6969 | 0.4697 | |
|
| No log | 7.0 | 441 | 19.0015 | 0.4091 | |
|
| 2.8992 | 8.0 | 504 | 18.0056 | 0.3939 | |
|
| 2.8992 | 9.0 | 567 | 18.0133 | 0.3889 | |
|
| 2.8992 | 10.0 | 630 | 16.3063 | 0.4242 | |
|
| 2.8992 | 11.0 | 693 | 17.3745 | 0.4343 | |
|
| 2.8992 | 12.0 | 756 | 17.3269 | 0.3838 | |
|
| 2.8992 | 13.0 | 819 | 16.1809 | 0.3889 | |
|
| 2.8992 | 14.0 | 882 | 17.2396 | 0.3939 | |
|
| 2.8992 | 15.0 | 945 | 17.6566 | 0.3990 | |
|
| 0.4269 | 16.0 | 1008 | 17.4774 | 0.4192 | |
|
| 0.4269 | 17.0 | 1071 | 16.4508 | 0.3889 | |
|
| 0.4269 | 18.0 | 1134 | 16.7112 | 0.3737 | |
|
| 0.4269 | 19.0 | 1197 | 17.0893 | 0.3889 | |
|
| 0.4269 | 20.0 | 1260 | 16.8349 | 0.3889 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.0 |
|
|
