metadata
library_name: peft
license: llama3.2
base_model: unsloth/Llama-3.2-1B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 8f877535-2225-4f06-8e13-0c0fdd1d6ef4
results: []
8f877535-2225-4f06-8e13-0c0fdd1d6ef4
This model is a fine-tuned version of unsloth/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1170
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: 0.000211
- 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 | 2.8852 |
| 2.4275 | 0.0083 | 50 | 2.6171 |
| 2.824 | 0.0165 | 100 | 2.5240 |
| 2.4004 | 0.0248 | 150 | 2.5001 |
| 2.9257 | 0.0331 | 200 | 2.4139 |
| 2.6891 | 0.0413 | 250 | 2.3516 |
| 2.1185 | 0.0496 | 300 | 2.3056 |
| 2.7748 | 0.0578 | 350 | 2.1765 |
| 2.5273 | 0.0661 | 400 | 2.1290 |
| 2.3927 | 0.0744 | 450 | 2.1086 |
| 2.2059 | 0.0826 | 500 | 2.1170 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1