File size: 2,497 Bytes
1ec2b9c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-12-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-12-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: 0.1852
- Accuracy: 0.9394
## 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 | 1.3865 | 0.2677 |
| No log | 2.0 | 26 | 1.3857 | 0.2374 |
| No log | 3.0 | 39 | 1.3852 | 0.2475 |
| No log | 4.0 | 52 | 1.3852 | 0.2929 |
| No log | 5.0 | 65 | 1.3847 | 0.2929 |
| No log | 6.0 | 78 | 1.3844 | 0.3081 |
| No log | 7.0 | 91 | 1.3839 | 0.2980 |
| No log | 8.0 | 104 | 1.3800 | 0.3081 |
| No log | 9.0 | 117 | 1.3751 | 0.3535 |
| No log | 10.0 | 130 | 1.2007 | 0.6263 |
| No log | 11.0 | 143 | 0.9272 | 0.6515 |
| No log | 12.0 | 156 | 1.0185 | 0.6768 |
| No log | 13.0 | 169 | 0.6580 | 0.7424 |
| No log | 14.0 | 182 | 0.4847 | 0.7828 |
| No log | 15.0 | 195 | 0.3170 | 0.8384 |
| No log | 16.0 | 208 | 0.2830 | 0.8485 |
| No log | 17.0 | 221 | 0.3068 | 0.9192 |
| No log | 18.0 | 234 | 0.2519 | 0.9141 |
| No log | 19.0 | 247 | 0.2426 | 0.9343 |
| No log | 20.0 | 260 | 0.1852 | 0.9394 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
|