metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa100000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu
results: []
fresh-2-layer-medmcqa100000-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: 207.8812
- Accuracy: 0.4391
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 | 0.03 | 100 | 200.5408 | 0.246 |
| No log | 0.06 | 200 | 200.4924 | 0.318 |
| No log | 0.1 | 300 | 189.5536 | 0.362 |
| No log | 0.13 | 400 | 213.1945 | 0.408 |
| 142.2534 | 0.16 | 500 | 200.2095 | 0.41 |
| 142.2534 | 0.19 | 600 | 183.4482 | 0.434 |
| 142.2534 | 0.22 | 700 | 181.7445 | 0.446 |
| 142.2534 | 0.26 | 800 | 174.5725 | 0.446 |
| 142.2534 | 0.29 | 900 | 172.2695 | 0.456 |
| 95.7189 | 0.32 | 1000 | 189.9845 | 0.446 |
| 95.7189 | 0.35 | 1100 | 200.3398 | 0.446 |
| 95.7189 | 0.38 | 1200 | 176.7680 | 0.422 |
| 95.7189 | 0.42 | 1300 | 184.6660 | 0.424 |
| 95.7189 | 0.45 | 1400 | 206.7043 | 0.466 |
| 83.1508 | 0.48 | 1500 | 188.5695 | 0.454 |
| 83.1508 | 0.51 | 1600 | 206.9309 | 0.452 |
| 83.1508 | 0.54 | 1700 | 186.1902 | 0.454 |
| 83.1508 | 0.58 | 1800 | 191.8201 | 0.45 |
| 83.1508 | 0.61 | 1900 | 185.2374 | 0.466 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0