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--- |
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base_model: NousResearch/Meta-Llama-3.1-8B-Instruct |
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datasets: |
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- generator |
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library_name: peft |
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license: llama3.1 |
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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: llama381binstruct_summarize_short |
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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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# llama381binstruct_summarize_short |
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This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7961 |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 30 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5831 | 1.25 | 25 | 1.6479 | |
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| 0.8086 | 2.5 | 50 | 1.6711 | |
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| 0.3333 | 3.75 | 75 | 1.8202 | |
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| 0.1834 | 5.0 | 100 | 1.9703 | |
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| 0.083 | 6.25 | 125 | 2.2035 | |
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| 0.0381 | 7.5 | 150 | 2.3948 | |
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| 0.0212 | 8.75 | 175 | 2.4440 | |
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| 0.0197 | 10.0 | 200 | 2.4377 | |
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| 0.0188 | 11.25 | 225 | 2.3988 | |
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| 0.0094 | 12.5 | 250 | 2.5389 | |
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| 0.0062 | 13.75 | 275 | 2.5661 | |
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| 0.0048 | 15.0 | 300 | 2.6391 | |
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| 0.0036 | 16.25 | 325 | 2.6828 | |
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| 0.0021 | 17.5 | 350 | 2.7307 | |
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| 0.0017 | 18.75 | 375 | 2.7560 | |
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| 0.0023 | 20.0 | 400 | 2.7722 | |
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| 0.0024 | 21.25 | 425 | 2.7839 | |
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| 0.002 | 22.5 | 450 | 2.7908 | |
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| 0.0021 | 23.75 | 475 | 2.7946 | |
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| 0.0018 | 25.0 | 500 | 2.7961 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
