|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: google/gemma-2b-it |
|
model-index: |
|
- name: ft-google-gemma-2b-it-qlora |
|
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. --> |
|
|
|
# ft-google-gemma-2b-it-qlora |
|
|
|
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.7958 |
|
|
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 2e-05 |
|
- train_batch_size: 10 |
|
- eval_batch_size: 10 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 10 |
|
- total_train_batch_size: 100 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 2000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.0077 | 100.0 | 100 | 2.3782 | |
|
| 0.0005 | 200.0 | 200 | 2.9807 | |
|
| 0.0004 | 300.0 | 300 | 3.1002 | |
|
| 0.0004 | 400.0 | 400 | 3.1932 | |
|
| 0.0004 | 500.0 | 500 | 3.2895 | |
|
| 0.0004 | 600.0 | 600 | 3.3658 | |
|
| 0.0003 | 700.0 | 700 | 3.3978 | |
|
| 0.0004 | 800.0 | 800 | 3.4260 | |
|
| 0.0004 | 900.0 | 900 | 3.5341 | |
|
| 0.0003 | 1000.0 | 1000 | 3.5190 | |
|
| 0.0004 | 1100.0 | 1100 | 3.5536 | |
|
| 0.0003 | 1200.0 | 1200 | 3.5967 | |
|
| 0.0003 | 1300.0 | 1300 | 3.6020 | |
|
| 0.0004 | 1400.0 | 1400 | 3.6300 | |
|
| 0.0004 | 1500.0 | 1500 | 3.6133 | |
|
| 0.0003 | 1600.0 | 1600 | 3.7128 | |
|
| 0.0003 | 1700.0 | 1700 | 3.7430 | |
|
| 0.0003 | 1800.0 | 1800 | 3.7682 | |
|
| 0.0003 | 1900.0 | 1900 | 3.7548 | |
|
| 0.0003 | 2000.0 | 2000 | 3.7958 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.9.0 |
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
