metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
results: []
fresh-2-layer-qasc2000-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: 14.9062
- Accuracy: 0.4192
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 | 1.59 | 100 | 14.0964 | 0.2980 |
| No log | 3.17 | 200 | 15.9598 | 0.3788 |
| No log | 4.76 | 300 | 14.9387 | 0.4091 |
| No log | 6.35 | 400 | 14.1750 | 0.4091 |
| 1.6819 | 7.94 | 500 | 16.7634 | 0.4091 |
| 1.6819 | 9.52 | 600 | 14.9062 | 0.4192 |
| 1.6819 | 11.11 | 700 | 13.9546 | 0.4091 |
| 1.6819 | 12.7 | 800 | 14.2041 | 0.4091 |
| 1.6819 | 14.29 | 900 | 15.2506 | 0.4040 |
| 0.2306 | 15.87 | 1000 | 14.9041 | 0.4091 |
| 0.2306 | 17.46 | 1100 | 14.9118 | 0.4141 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0