|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: microsoft/Phi-3-medium-128k-instruct |
|
model-index: |
|
- name: results_medium |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# results_medium |
|
|
|
This model is a fine-tuned version of [microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1562 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.9442 | 0.2131 | 100 | 1.9833 | |
|
| 1.8439 | 0.4262 | 200 | 1.8431 | |
|
| 1.5387 | 0.6393 | 300 | 1.5840 | |
|
| 1.4157 | 0.8524 | 400 | 1.3748 | |
|
| 1.2628 | 1.0655 | 500 | 1.2339 | |
|
| 1.2704 | 1.2786 | 600 | 1.1894 | |
|
| 1.1634 | 1.4917 | 700 | 1.1763 | |
|
| 1.2318 | 1.7048 | 800 | 1.1708 | |
|
| 1.0665 | 1.9180 | 900 | 1.1683 | |
|
| 1.1715 | 2.1311 | 1000 | 1.1634 | |
|
| 1.1366 | 2.3442 | 1100 | 1.1617 | |
|
| 1.1239 | 2.5573 | 1200 | 1.1584 | |
|
| 1.1442 | 2.7704 | 1300 | 1.1568 | |
|
| 1.1336 | 2.9835 | 1400 | 1.1562 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
