metadata
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: []
llama3_8b_instruct_BWRM
This model is a fine-tuned version of 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