|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: microsoft/Phi-3-mini-4k-instruct |
|
model-index: |
|
- name: Phi-3-mini-4k-instruct-retrained_network_corpus |
|
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. --> |
|
|
|
# Phi-3-mini-4k-instruct-retrained_network_corpus |
|
|
|
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 4.3960 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.8696 | 1.0 | 112 | 2.0452 | |
|
| 1.3684 | 2.0 | 224 | 2.1041 | |
|
| 0.9071 | 3.0 | 336 | 2.3714 | |
|
| 0.5282 | 4.0 | 448 | 2.8351 | |
|
| 0.2728 | 5.0 | 560 | 3.3396 | |
|
| 0.1308 | 6.0 | 672 | 3.7990 | |
|
| 0.0594 | 7.0 | 784 | 3.9724 | |
|
| 0.032 | 8.0 | 896 | 4.0585 | |
|
| 0.0186 | 9.0 | 1008 | 4.3351 | |
|
| 0.0133 | 10.0 | 1120 | 4.3960 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
