|
--- |
|
license: llama3.1 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
|
model-index: |
|
- name: llama3_8b_instruct_BWRM |
|
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_8b_instruct_BWRM |
|
|
|
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 the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2420 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 32 |
|
- total_train_batch_size: 1024 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.7073 | 0.4600 | 50 | 0.5674 | |
|
| 0.5127 | 0.9201 | 100 | 0.4938 | |
|
| 0.4164 | 1.3801 | 150 | 0.3664 | |
|
| 0.3712 | 1.8401 | 200 | 0.3447 | |
|
| 0.3255 | 2.3002 | 250 | 0.3387 | |
|
| 0.2926 | 2.7602 | 300 | 0.2809 | |
|
| 0.2725 | 3.2202 | 350 | 0.2721 | |
|
| 0.254 | 3.6803 | 400 | 0.2562 | |
|
| 0.2421 | 4.1403 | 450 | 0.2460 | |
|
| 0.228 | 4.6003 | 500 | 0.2420 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.44.0 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
