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--- |
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license: llama3.1 |
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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: meta-llama/Meta-Llama-3.1-8B-Instruct |
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model-index: |
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- name: llama3.1_8b_bwgenerator |
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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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# llama3.1_8b_bwgenerator |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0819 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.295 | 0.3287 | 20 | 0.3356 | |
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| 0.264 | 0.6574 | 40 | 0.2187 | |
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| 0.1974 | 0.9861 | 60 | 0.1787 | |
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| 0.1648 | 1.3148 | 80 | 0.1482 | |
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| 0.1311 | 1.6436 | 100 | 0.1131 | |
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| 0.1006 | 1.9723 | 120 | 0.0901 | |
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| 0.0864 | 2.3010 | 140 | 0.0844 | |
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| 0.0836 | 2.6297 | 160 | 0.0823 | |
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| 0.0824 | 2.9584 | 180 | 0.0819 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.7 |
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- Tokenizers 0.19.1 |
