metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
- name: phi-1_5-finetuned-addition-v2
results: []
phi-1_5-finetuned-addition-v2
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: 3.9705
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4643 | 0.03 | 100 | 4.1741 |
| 4.1499 | 0.06 | 200 | 4.1183 |
| 4.1148 | 0.09 | 300 | 4.1006 |
| 4.0741 | 0.12 | 400 | 4.0455 |
| 4.0357 | 0.15 | 500 | 4.0199 |
| 4.0217 | 0.18 | 600 | 3.9980 |
| 3.9901 | 0.21 | 700 | 3.9866 |
| 3.9824 | 0.24 | 800 | 3.9775 |
| 3.9837 | 0.27 | 900 | 3.9710 |
| 3.9651 | 0.3 | 1000 | 3.9705 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2