metadata
license: other
base_model: rinna/llama-3-youko-8b
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft
results: []
sft
This model is a fine-tuned version of rinna/llama-3-youko-8b on the data_bricks, the kunishou, the ichikara-004-multi, the ichikara-004-single, the apto_instruct, the apto_dialogue, the oasst_ja and the megagon datasets. It achieves the following results on the evaluation set:
- Loss: 1.0135
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9155 | 0.1433 | 100 | 1.8934 |
| 1.7826 | 0.2865 | 200 | 1.7808 |
| 1.6897 | 0.4298 | 300 | 1.6719 |
| 1.5887 | 0.5731 | 400 | 1.5738 |
| 1.4628 | 0.7163 | 500 | 1.4660 |
| 1.3751 | 0.8596 | 600 | 1.3671 |
| 1.1263 | 1.0029 | 700 | 1.2831 |
| 0.688 | 1.1461 | 800 | 1.2492 |
| 0.6544 | 1.2894 | 900 | 1.1818 |
| 0.6017 | 1.4327 | 1000 | 1.1207 |
| 0.5763 | 1.5759 | 1100 | 1.0708 |
| 0.5599 | 1.7192 | 1200 | 1.0365 |
| 0.5101 | 1.8625 | 1300 | 1.0170 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1