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: 0.1528
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2317 | 0.1246 | 20 | 0.3990 |
| 0.3324 | 0.2492 | 40 | 0.2884 |
| 0.2665 | 0.3738 | 60 | 0.2478 |
| 0.2326 | 0.4983 | 80 | 0.2174 |
| 0.2072 | 0.6229 | 100 | 0.1941 |
| 0.1818 | 0.7475 | 120 | 0.1687 |
| 0.1631 | 0.8721 | 140 | 0.1555 |
| 0.1543 | 0.9967 | 160 | 0.1528 |
Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1