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--- |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-3B-Instruct |
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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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model-index: |
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- name: llama-real-and-synthetic-sftsd1 |
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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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# llama-real-and-synthetic-sftsd1 |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9714 |
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- Num Input Tokens Seen: 1904984 |
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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: 8e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 1 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| No log | 0 | 0 | 1.5937 | 0 | |
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| 1.3209 | 0.0856 | 5 | 1.2827 | 161496 | |
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| 1.1224 | 0.1711 | 10 | 1.1693 | 322408 | |
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| 1.0851 | 0.2567 | 15 | 1.1131 | 489712 | |
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| 1.06 | 0.3422 | 20 | 1.0862 | 655168 | |
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| 1.0298 | 0.4278 | 25 | 1.0657 | 818584 | |
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| 0.9931 | 0.5134 | 30 | 1.0473 | 978832 | |
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| 0.9974 | 0.5989 | 35 | 1.0294 | 1143648 | |
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| 0.9779 | 0.6845 | 40 | 1.0105 | 1316224 | |
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| 0.9688 | 0.7701 | 45 | 0.9915 | 1476728 | |
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| 0.9191 | 0.8556 | 50 | 0.9793 | 1645280 | |
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| 0.9213 | 0.9412 | 55 | 0.9748 | 1807968 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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