metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: microsoft/Phi-3-mini-128k-instruct
model-index:
- name: working
results: []
working
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5929
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: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5322 | 0.86 | 3 | 2.4221 |
| 1.7321 | 2.0 | 7 | 1.6896 |
| 1.8073 | 2.86 | 10 | 1.3296 |
| 0.9839 | 4.0 | 14 | 0.8705 |
| 0.8891 | 4.86 | 17 | 0.6266 |
| 0.4628 | 6.0 | 21 | 0.4525 |
| 0.498 | 6.86 | 24 | 0.4093 |
| 0.3318 | 8.0 | 28 | 0.3812 |
| 0.396 | 8.86 | 31 | 0.3742 |
| 0.2809 | 10.0 | 35 | 0.3603 |
| 0.3487 | 10.86 | 38 | 0.3563 |
| 0.2479 | 12.0 | 42 | 0.3621 |
| 0.3085 | 12.86 | 45 | 0.3734 |
| 0.2225 | 14.0 | 49 | 0.3733 |
| 0.2716 | 14.86 | 52 | 0.3888 |
| 0.1899 | 16.0 | 56 | 0.4287 |
| 0.2319 | 16.86 | 59 | 0.4375 |
| 0.1594 | 18.0 | 63 | 0.4491 |
| 0.1928 | 18.86 | 66 | 0.4811 |
| 0.1307 | 20.0 | 70 | 0.5047 |
| 0.1577 | 20.86 | 73 | 0.5184 |
| 0.1077 | 22.0 | 77 | 0.5539 |
| 0.1333 | 22.86 | 80 | 0.5708 |
| 0.0922 | 24.0 | 84 | 0.5795 |
| 0.1167 | 24.86 | 87 | 0.5875 |
| 0.0818 | 25.71 | 90 | 0.5929 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2