metadata
base_model: meta-llama/Meta-Llama-3.1-8B
library_name: peft
license: llama3.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: LlaMa_3.1_8B
results: []
LlaMa_3.1_8B
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6314
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0074 | 0.0440 | 100 | 0.8141 |
| 0.7582 | 0.0879 | 200 | 0.7417 |
| 0.7663 | 0.1319 | 300 | 0.7115 |
| 0.6939 | 0.1758 | 400 | 0.6899 |
| 0.6787 | 0.2198 | 500 | 0.6792 |
| 0.6553 | 0.2637 | 600 | 0.6664 |
| 0.6747 | 0.3077 | 700 | 0.6535 |
| 0.6614 | 0.3516 | 800 | 0.6404 |
| 0.6343 | 0.3956 | 900 | 0.6343 |
| 0.6264 | 0.4396 | 1000 | 0.6314 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1