metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-qasc5000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu
results: []
fresh-2-layer-qasc5000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 207.7788
- Accuracy: 0.3764
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 | 0.64 | 100 | 202.2836 | 0.24 |
| No log | 1.27 | 200 | 206.3151 | 0.34 |
| No log | 1.91 | 300 | 195.0245 | 0.35 |
| No log | 2.55 | 400 | 201.5064 | 0.388 |
| 98.9054 | 3.18 | 500 | 200.6433 | 0.386 |
| 98.9054 | 3.82 | 600 | 193.7714 | 0.388 |
| 98.9054 | 4.46 | 700 | 189.6684 | 0.39 |
| 98.9054 | 5.1 | 800 | 192.2281 | 0.378 |
| 98.9054 | 5.73 | 900 | 194.5975 | 0.388 |
| 23.6632 | 6.37 | 1000 | 199.0726 | 0.42 |
| 23.6632 | 7.01 | 1100 | 192.3244 | 0.402 |
| 23.6632 | 7.64 | 1200 | 186.5772 | 0.402 |
| 23.6632 | 8.28 | 1300 | 190.7620 | 0.402 |
| 23.6632 | 8.92 | 1400 | 198.1279 | 0.394 |
| 14.2685 | 9.55 | 1500 | 194.6297 | 0.366 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0