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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: 2.5418 |
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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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| 1.7346 | 1.1905 | 25 | 1.5509 | |
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| 0.876 | 2.3810 | 50 | 1.6489 | |
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| 0.3296 | 3.5714 | 75 | 1.7988 | |
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| 0.1572 | 4.7619 | 100 | 2.0011 | |
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| 0.0918 | 5.9524 | 125 | 2.1469 | |
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| 0.0518 | 7.1429 | 150 | 2.1057 | |
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| 0.0343 | 8.3333 | 175 | 2.1788 | |
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| 0.0133 | 9.5238 | 200 | 2.2228 | |
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| 0.01 | 10.7143 | 225 | 2.2292 | |
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| 0.0112 | 11.9048 | 250 | 2.2735 | |
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| 0.0073 | 13.0952 | 275 | 2.3250 | |
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| 0.0037 | 14.2857 | 300 | 2.3380 | |
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| 0.0028 | 15.4762 | 325 | 2.4173 | |
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| 0.0019 | 16.6667 | 350 | 2.4736 | |
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| 0.0019 | 17.8571 | 375 | 2.5015 | |
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| 0.0023 | 19.0476 | 400 | 2.5184 | |
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| 0.002 | 20.2381 | 425 | 2.5288 | |
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| 0.0015 | 21.4286 | 450 | 2.5356 | |
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| 0.0016 | 22.6190 | 475 | 2.5401 | |
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| 0.0013 | 23.8095 | 500 | 2.5418 | |
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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 2.3.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
