File size: 2,556 Bytes
55e710b |
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-2-layer-piqa-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-piqa-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: 16.0175
- Accuracy: 0.3586
## 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 | 18.2723 | 0.2273 |
| No log | 2.0 | 126 | 15.2877 | 0.2576 |
| No log | 3.0 | 189 | 16.4507 | 0.3131 |
| No log | 4.0 | 252 | 13.5118 | 0.3485 |
| No log | 5.0 | 315 | 13.6895 | 0.3384 |
| No log | 6.0 | 378 | 15.5376 | 0.3182 |
| No log | 7.0 | 441 | 17.7696 | 0.3182 |
| 2.8866 | 8.0 | 504 | 14.3626 | 0.3232 |
| 2.8866 | 9.0 | 567 | 15.1187 | 0.3232 |
| 2.8866 | 10.0 | 630 | 16.8223 | 0.3384 |
| 2.8866 | 11.0 | 693 | 16.0992 | 0.3081 |
| 2.8866 | 12.0 | 756 | 15.7492 | 0.3283 |
| 2.8866 | 13.0 | 819 | 14.8661 | 0.3485 |
| 2.8866 | 14.0 | 882 | 16.7236 | 0.3485 |
| 2.8866 | 15.0 | 945 | 16.0175 | 0.3586 |
| 0.4396 | 16.0 | 1008 | 15.5002 | 0.3333 |
| 0.4396 | 17.0 | 1071 | 16.1226 | 0.3586 |
| 0.4396 | 18.0 | 1134 | 16.3226 | 0.3232 |
| 0.4396 | 19.0 | 1197 | 16.2413 | 0.3434 |
| 0.4396 | 20.0 | 1260 | 16.0952 | 0.3384 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
|