metadata
library_name: peft
license: llama3.1
base_model: unsloth/Meta-Llama-3.1-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3b40a4dc-1423-4d79-b062-e0c34207bc16
results: []
3b40a4dc-1423-4d79-b062-e0c34207bc16
This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7449
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: 0.000207
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0002 | 1 | 2.0999 |
| 1.8971 | 0.0086 | 50 | 2.2067 |
| 1.9011 | 0.0171 | 100 | 2.1730 |
| 1.8564 | 0.0257 | 150 | 2.1025 |
| 1.8887 | 0.0342 | 200 | 2.0264 |
| 1.9849 | 0.0428 | 250 | 1.9379 |
| 1.7837 | 0.0513 | 300 | 1.8692 |
| 1.6724 | 0.0599 | 350 | 1.8100 |
| 1.7941 | 0.0684 | 400 | 1.7638 |
| 1.6998 | 0.0770 | 450 | 1.7481 |
| 1.7282 | 0.0855 | 500 | 1.7449 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1