|
--- |
|
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
|
library_name: peft |
|
license: llama3.1 |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: Llama3.1-8b-instruct-SFT-2024-09-20_LoRAs_r64 |
|
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. --> |
|
|
|
# Llama3.1-8b-instruct-SFT-2024-09-20_LoRAs_r64 |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0712 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 6 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- num_epochs: 1.5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:-----:|:---------------:| |
|
| 1.5247 | 0.0793 | 1000 | 1.3914 | |
|
| 1.341 | 0.1586 | 2000 | 1.3288 | |
|
| 1.314 | 0.2380 | 3000 | 1.2961 | |
|
| 1.261 | 0.3173 | 4000 | 1.2635 | |
|
| 1.2397 | 0.3966 | 5000 | 1.2353 | |
|
| 1.212 | 0.4759 | 6000 | 1.2240 | |
|
| 1.2051 | 0.5552 | 7000 | 1.2019 | |
|
| 1.1845 | 0.6346 | 8000 | 1.1861 | |
|
| 1.157 | 0.7139 | 9000 | 1.1684 | |
|
| 1.1418 | 0.7932 | 10000 | 1.1580 | |
|
| 1.1374 | 0.8725 | 11000 | 1.1385 | |
|
| 1.1187 | 0.9519 | 12000 | 1.1243 | |
|
| 1.0841 | 1.0312 | 13000 | 1.1180 | |
|
| 1.0365 | 1.1105 | 14000 | 1.1062 | |
|
| 1.0266 | 1.1898 | 15000 | 1.0974 | |
|
| 1.0216 | 1.2691 | 16000 | 1.0935 | |
|
| 1.0217 | 1.3485 | 17000 | 1.0818 | |
|
| 1.0048 | 1.4278 | 18000 | 1.0712 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.2 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
