metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-swag20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
results: []
fresh-2-layer-swag20000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 15.3688
- Accuracy: 0.4747
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: 32
- eval_batch_size: 32
- seed: 321
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.16 | 100 | 14.6793 | 0.2677 |
| No log | 0.32 | 200 | 21.2273 | 0.3687 |
| No log | 0.48 | 300 | 19.4173 | 0.3485 |
| No log | 0.64 | 400 | 23.6541 | 0.4343 |
| 2.2803 | 0.8 | 500 | 18.0346 | 0.4091 |
| 2.2803 | 0.96 | 600 | 20.1434 | 0.4293 |
| 2.2803 | 1.12 | 700 | 16.6838 | 0.4192 |
| 2.2803 | 1.28 | 800 | 15.3688 | 0.4747 |
| 2.2803 | 1.44 | 900 | 16.6134 | 0.4444 |
| 0.5776 | 1.6 | 1000 | 15.2527 | 0.4192 |
| 0.5776 | 1.76 | 1100 | 13.8964 | 0.4444 |
| 0.5776 | 1.92 | 1200 | 15.0290 | 0.4444 |
| 0.5776 | 2.08 | 1300 | 14.4659 | 0.4495 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0