metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fresh-2-layer-arc2000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu
results: []
fresh-2-layer-arc2000-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: 232.3996
- Accuracy: 0.3238
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 | 200.6664 | 0.258 |
| No log | 3.17 | 200 | 214.1454 | 0.284 |
| No log | 4.76 | 300 | 217.4835 | 0.298 |
| No log | 6.35 | 400 | 230.0120 | 0.354 |
| 109.2674 | 7.94 | 500 | 246.2496 | 0.332 |
| 109.2674 | 9.52 | 600 | 229.0414 | 0.34 |
| 109.2674 | 11.11 | 700 | 225.5762 | 0.338 |
| 109.2674 | 12.7 | 800 | 235.3921 | 0.324 |
| 109.2674 | 14.29 | 900 | 229.8624 | 0.346 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0