|
--- |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: NousResearch/Llama-2-7b-hf |
|
datasets: |
|
- generator |
|
model-index: |
|
- name: llama2_instruct_generation |
|
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. --> |
|
|
|
# llama2_instruct_generation |
|
|
|
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6752 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- lr_scheduler_warmup_steps: 0.03 |
|
- training_steps: 500 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.9802 | 0.0027 | 20 | 1.8101 | |
|
| 1.9108 | 0.0054 | 40 | 1.7781 | |
|
| 1.9155 | 0.0081 | 60 | 1.7653 | |
|
| 1.9302 | 0.0108 | 80 | 1.7579 | |
|
| 1.8143 | 0.0135 | 100 | 1.7455 | |
|
| 1.9025 | 0.0163 | 120 | 1.7143 | |
|
| 1.8029 | 0.0190 | 140 | 1.7029 | |
|
| 1.8912 | 0.0217 | 160 | 1.6989 | |
|
| 1.8565 | 0.0244 | 180 | 1.6961 | |
|
| 1.7468 | 0.0271 | 200 | 1.6936 | |
|
| 1.829 | 0.0298 | 220 | 1.6913 | |
|
| 1.8097 | 0.0325 | 240 | 1.6883 | |
|
| 1.7772 | 0.0352 | 260 | 1.6866 | |
|
| 1.8564 | 0.0379 | 280 | 1.6843 | |
|
| 1.7101 | 0.0406 | 300 | 1.6828 | |
|
| 1.8124 | 0.0433 | 320 | 1.6811 | |
|
| 1.8437 | 0.0461 | 340 | 1.6804 | |
|
| 1.8908 | 0.0488 | 360 | 1.6800 | |
|
| 1.817 | 0.0515 | 380 | 1.6807 | |
|
| 1.8006 | 0.0542 | 400 | 1.6791 | |
|
| 1.774 | 0.0569 | 420 | 1.6768 | |
|
| 1.8284 | 0.0596 | 440 | 1.6753 | |
|
| 1.8784 | 0.0623 | 460 | 1.6769 | |
|
| 1.7567 | 0.0650 | 480 | 1.6777 | |
|
| 1.8119 | 0.0677 | 500 | 1.6752 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
