metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: phi-2-classifier
results: []
phi-2-classifier
This model is a fine-tuned version of bigcode/starencoder on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9191
- Accuracy: 0.89
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 7 | 0.9695 | 0.89 |
| 0.9787 | 2.0 | 14 | 0.9507 | 0.89 |
| 0.9456 | 3.0 | 21 | 0.9191 | 0.89 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 1.13.1
- Datasets 2.13.1
- Tokenizers 0.13.3