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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: 2.6421 |
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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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| 1.6462 | 1.25 | 25 | 1.6200 | |
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| 0.6375 | 2.5 | 50 | 1.7340 | |
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| 0.3765 | 3.75 | 75 | 1.7938 | |
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| 0.1611 | 5.0 | 100 | 2.0300 | |
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| 0.0918 | 6.25 | 125 | 2.1064 | |
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| 0.0293 | 7.5 | 150 | 2.3839 | |
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| 0.022 | 8.75 | 175 | 2.4332 | |
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| 0.0233 | 10.0 | 200 | 2.3058 | |
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| 0.0147 | 11.25 | 225 | 2.5775 | |
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| 0.0098 | 12.5 | 250 | 2.3925 | |
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| 0.0046 | 13.75 | 275 | 2.4783 | |
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| 0.0062 | 15.0 | 300 | 2.5364 | |
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| 0.0036 | 16.25 | 325 | 2.5107 | |
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| 0.0023 | 17.5 | 350 | 2.5617 | |
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| 0.0021 | 18.75 | 375 | 2.5967 | |
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| 0.0023 | 20.0 | 400 | 2.6159 | |
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| 0.0024 | 21.25 | 425 | 2.6281 | |
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| 0.0017 | 22.5 | 450 | 2.6365 | |
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| 0.0019 | 23.75 | 475 | 2.6405 | |
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| 0.0019 | 25.0 | 500 | 2.6421 | |
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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 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
