|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: HuggingFaceH4/zephyr-7b-beta |
|
model-index: |
|
- name: ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3 |
|
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-HuggingFaceH4-zephyr-7b-beta-qlora-v3 |
|
|
|
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.2700 |
|
|
|
## 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: 0.0005 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 5 |
|
- total_train_batch_size: 80 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 50 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.566 | 2.5 | 5 | 1.3026 | |
|
| 1.1359 | 5.0 | 10 | 1.2779 | |
|
| 0.9114 | 7.5 | 15 | 1.3987 | |
|
| 0.5972 | 10.0 | 20 | 1.4944 | |
|
| 0.2936 | 12.5 | 25 | 1.8476 | |
|
| 0.1104 | 15.0 | 30 | 2.1923 | |
|
| 0.0311 | 17.5 | 35 | 2.5907 | |
|
| 0.0168 | 20.0 | 40 | 2.7176 | |
|
| 0.0132 | 22.5 | 45 | 2.8310 | |
|
| 0.0115 | 25.0 | 50 | 2.9147 | |
|
| 0.0106 | 27.5 | 55 | 3.0155 | |
|
| 0.0103 | 30.0 | 60 | 3.1027 | |
|
| 0.0101 | 32.5 | 65 | 3.1541 | |
|
| 0.0099 | 35.0 | 70 | 3.1883 | |
|
| 0.0097 | 37.5 | 75 | 3.2104 | |
|
| 0.0095 | 40.0 | 80 | 3.2204 | |
|
| 0.0094 | 42.5 | 85 | 3.2407 | |
|
| 0.0095 | 45.0 | 90 | 3.2554 | |
|
| 0.0093 | 47.5 | 95 | 3.2661 | |
|
| 0.0094 | 50.0 | 100 | 3.2700 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.9.0 |
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
