metadata
library_name: peft
license: llama3
base_model: unsloth/llama-3-8b
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3e26076f-b1a9-4731-b153-859a77eef877
results: []
3e26076f-b1a9-4731-b153-859a77eef877
This model is a fine-tuned version of unsloth/llama-3-8b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4561
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: 0.000208
- 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 | 1.8474 |
| 1.7893 | 0.0118 | 50 | 1.7632 |
| 1.9071 | 0.0235 | 100 | 1.8015 |
| 1.8313 | 0.0353 | 150 | 1.7725 |
| 1.7124 | 0.0470 | 200 | 1.6976 |
| 1.7394 | 0.0588 | 250 | 1.6846 |
| 1.6165 | 0.0705 | 300 | 1.5649 |
| 1.6267 | 0.0823 | 350 | 1.5150 |
| 1.7165 | 0.0941 | 400 | 1.4825 |
| 1.592 | 0.1058 | 450 | 1.4721 |
| 1.5203 | 0.1176 | 500 | 1.4561 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1