metadata
library_name: peft
license: llama3
base_model: elyza/Llama-3-ELYZA-JP-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: babac902-74e0-4bde-a637-dafeb8b8482d
results: []
babac902-74e0-4bde-a637-dafeb8b8482d
This model is a fine-tuned version of elyza/Llama-3-ELYZA-JP-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1751
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: 0.000206
- 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 | 0.0004 | 1 | 3.2539 |
| 2.3008 | 0.0181 | 50 | 2.5440 |
| 2.1869 | 0.0362 | 100 | 2.7194 |
| 2.2702 | 0.0544 | 150 | 2.7566 |
| 2.2174 | 0.0725 | 200 | 2.4249 |
| 2.17 | 0.0906 | 250 | 2.3869 |
| 2.2559 | 0.1087 | 300 | 2.2846 |
| 2.2087 | 0.1268 | 350 | 2.2185 |
| 2.2695 | 0.1450 | 400 | 2.1837 |
| 2.0524 | 0.1631 | 450 | 2.1747 |
| 2.0353 | 0.1812 | 500 | 2.1751 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1