metadata
library_name: peft
license: llama3
base_model: MLP-KTLim/llama-3-Korean-Bllossom-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: e93d50ea-7420-4148-8bc1-2c4ecbdc2835
results: []
e93d50ea-7420-4148-8bc1-2c4ecbdc2835
This model is a fine-tuned version of MLP-KTLim/llama-3-Korean-Bllossom-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3223
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: 0.000212
- train_batch_size: 4
- eval_batch_size: 4
- seed: 120
- 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 | 0.0009 | 1 | 1.9441 |
| 0.895 | 0.0456 | 50 | 0.9801 |
| 0.7945 | 0.0912 | 100 | 0.8731 |
| 0.6886 | 0.1369 | 150 | 0.8619 |
| 0.7819 | 0.1825 | 200 | 0.7114 |
| 0.6048 | 0.2281 | 250 | 0.5683 |
| 0.503 | 0.2737 | 300 | 0.5383 |
| 0.4986 | 0.3193 | 350 | 0.4003 |
| 0.5244 | 0.3650 | 400 | 0.3518 |
| 0.5655 | 0.4106 | 450 | 0.3261 |
| 0.4691 | 0.4562 | 500 | 0.3223 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1