metadata
license: mit
base_model: AdnanRiaz107/CodePhi-3-mini-4k-instruct-python
tags:
- generated_from_trainer
model-index:
- name: CodePhi-3-mini-4k-instruct-pythonAPPSWO
results: []
CodePhi-3-mini-4k-instruct-pythonAPPSWO
This model is a fine-tuned version of AdnanRiaz107/CodePhi-3-mini-4k-instruct-python on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9014
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1
- training_steps: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.641 | 1.0 | 2 | 0.9014 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1