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--- |
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license: other |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: lightblue/suzume-llama-3-8B-japanese |
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datasets: |
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- generator |
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model-index: |
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- name: suzume-llama-3-8B-financial |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# suzume-llama-3-8B-financial |
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This model is a fine-tuned version of [lightblue/suzume-llama-3-8B-japanese](https://huggingface.co/lightblue/suzume-llama-3-8B-japanese) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9951 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.4249 | 0.2222 | 1 | 1.8524 | |
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| 1.9685 | 0.4444 | 2 | 1.5389 | |
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| 1.72 | 0.6667 | 3 | 1.4369 | |
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| 1.5908 | 0.8889 | 4 | 1.3468 | |
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| 1.4306 | 1.1111 | 5 | 1.2865 | |
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| 1.368 | 1.3333 | 6 | 1.2355 | |
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| 1.2995 | 1.5556 | 7 | 1.1926 | |
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| 1.2591 | 1.7778 | 8 | 1.1429 | |
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| 1.1882 | 2.0 | 9 | 1.1208 | |
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| 1.0992 | 2.2222 | 10 | 1.0954 | |
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| 1.0199 | 2.4444 | 11 | 1.0754 | |
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| 1.0231 | 2.6667 | 12 | 1.0629 | |
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| 0.9314 | 2.8889 | 13 | 1.0317 | |
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| 0.8405 | 3.1111 | 14 | 1.0161 | |
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| 0.7706 | 3.3333 | 15 | 1.0216 | |
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| 0.782 | 3.5556 | 16 | 1.0055 | |
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| 0.8002 | 3.7778 | 17 | 0.9985 | |
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| 0.7849 | 4.0 | 18 | 0.9908 | |
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| 0.6481 | 4.2222 | 19 | 1.0070 | |
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| 0.5567 | 4.4444 | 20 | 0.9951 | |
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### Framework versions |
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- PEFT 0.11.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
