Multi-gpu trained
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- generation_config.json +7 -0
README.md
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---
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base_model:
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- Bllossom/llama-3.2-Korean-Bllossom-3B
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tags:
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---
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library_name: transformers
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license: llama3.2
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base_model: Bllossom/llama-3.2-Korean-Bllossom-3B
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tags:
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- generated_from_trainer
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model-index:
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- name: sonigo_style_predict
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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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# sonigo_style_predict
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This model is a fine-tuned version of [Bllossom/llama-3.2-Korean-Bllossom-3B](https://huggingface.co/Bllossom/llama-3.2-Korean-Bllossom-3B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1488
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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: 2e-05
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- train_batch_size: 10
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- eval_batch_size: 3
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- seed: 42
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- distributed_type: multi-GPU
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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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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| 0.4074 | 1.0 | 182 | 0.5274 |
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| 0.2929 | 2.0 | 364 | 0.3765 |
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| 0.2069 | 3.0 | 546 | 0.2395 |
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| 0.1576 | 4.0 | 728 | 0.2080 |
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| 0.1913 | 5.0 | 910 | 0.2121 |
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| 0.1852 | 6.0 | 1092 | 0.1757 |
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| 0.079 | 7.0 | 1274 | 0.1601 |
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| 0.0992 | 8.0 | 1456 | 0.1488 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.0.1+cu118
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"eos_token_id": 128009,
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"transformers_version": "4.46.2",
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"use_cache": false
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}
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