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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: 2.4145 |
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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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| 1.4526 | 2.7778 | 25 | 1.3994 | |
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| 0.3502 | 5.5556 | 50 | 1.6518 | |
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| 0.0835 | 8.3333 | 75 | 2.0132 | |
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| 0.0223 | 11.1111 | 100 | 2.0395 | |
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| 0.0092 | 13.8889 | 125 | 2.2195 | |
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| 0.0055 | 16.6667 | 150 | 2.1321 | |
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| 0.0018 | 19.4444 | 175 | 2.2957 | |
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| 0.0012 | 22.2222 | 200 | 2.3537 | |
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| 0.0009 | 25.0 | 225 | 2.3708 | |
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| 0.0008 | 27.7778 | 250 | 2.3797 | |
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| 0.0009 | 30.5556 | 275 | 2.3879 | |
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| 0.0008 | 33.3333 | 300 | 2.3933 | |
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| 0.0008 | 36.1111 | 325 | 2.3986 | |
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| 0.0009 | 38.8889 | 350 | 2.4036 | |
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| 0.0008 | 41.6667 | 375 | 2.4068 | |
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| 0.0006 | 44.4444 | 400 | 2.4093 | |
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| 0.0007 | 47.2222 | 425 | 2.4115 | |
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| 0.0006 | 50.0 | 450 | 2.4136 | |
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| 0.0006 | 52.7778 | 475 | 2.4146 | |
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| 0.0006 | 55.5556 | 500 | 2.4145 | |
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### Framework versions |
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- PEFT 0.13.1 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
