metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-medmcqa2000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu
results: []
fresh-2-layer-medmcqa2000-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: 252.9675
- Accuracy: 0.3613
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 | 200.6515 | 0.25 |
| No log | 3.17 | 200 | 195.4351 | 0.318 |
| No log | 4.76 | 300 | 234.0640 | 0.33 |
| No log | 6.35 | 400 | 256.2066 | 0.394 |
| 124.4314 | 7.94 | 500 | 218.1939 | 0.372 |
| 124.4314 | 9.52 | 600 | 219.9619 | 0.37 |
| 124.4314 | 11.11 | 700 | 232.0276 | 0.346 |
| 124.4314 | 12.7 | 800 | 233.1038 | 0.386 |
| 124.4314 | 14.29 | 900 | 236.9013 | 0.358 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0