metadata
license: llama3.1
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: llama3.1_8b_bwgenerator
results: []
llama3.1_8b_bwgenerator
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0819
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.295 | 0.3287 | 20 | 0.3356 |
| 0.264 | 0.6574 | 40 | 0.2187 |
| 0.1974 | 0.9861 | 60 | 0.1787 |
| 0.1648 | 1.3148 | 80 | 0.1482 |
| 0.1311 | 1.6436 | 100 | 0.1131 |
| 0.1006 | 1.9723 | 120 | 0.0901 |
| 0.0864 | 2.3010 | 140 | 0.0844 |
| 0.0836 | 2.6297 | 160 | 0.0823 |
| 0.0824 | 2.9584 | 180 | 0.0819 |
Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1