metadata
license: other
base_model: microsoft/phi-1_5
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2032
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7562 | 0.39 | 500 | 0.4813 |
| 0.71 | 0.77 | 1000 | 0.4007 |
| 0.6006 | 1.16 | 1500 | 0.3466 |
| 0.4935 | 1.55 | 2000 | 0.2830 |
| 0.5042 | 1.93 | 2500 | 0.2403 |
| 0.356 | 2.32 | 3000 | 0.2103 |
| 0.3393 | 2.71 | 3500 | 0.2032 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0