metadata
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: lightblue/suzume-llama-3-8B-japanese
datasets:
- generator
model-index:
- name: suzume-llama-3-8B-financial
results: []
suzume-llama-3-8B-financial
This model is a fine-tuned version of lightblue/suzume-llama-3-8B-japanese on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.9951
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4249 | 0.2222 | 1 | 1.8524 |
| 1.9685 | 0.4444 | 2 | 1.5389 |
| 1.72 | 0.6667 | 3 | 1.4369 |
| 1.5908 | 0.8889 | 4 | 1.3468 |
| 1.4306 | 1.1111 | 5 | 1.2865 |
| 1.368 | 1.3333 | 6 | 1.2355 |
| 1.2995 | 1.5556 | 7 | 1.1926 |
| 1.2591 | 1.7778 | 8 | 1.1429 |
| 1.1882 | 2.0 | 9 | 1.1208 |
| 1.0992 | 2.2222 | 10 | 1.0954 |
| 1.0199 | 2.4444 | 11 | 1.0754 |
| 1.0231 | 2.6667 | 12 | 1.0629 |
| 0.9314 | 2.8889 | 13 | 1.0317 |
| 0.8405 | 3.1111 | 14 | 1.0161 |
| 0.7706 | 3.3333 | 15 | 1.0216 |
| 0.782 | 3.5556 | 16 | 1.0055 |
| 0.8002 | 3.7778 | 17 | 0.9985 |
| 0.7849 | 4.0 | 18 | 0.9908 |
| 0.6481 | 4.2222 | 19 | 1.0070 |
| 0.5567 | 4.4444 | 20 | 0.9951 |
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1