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--- |
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base_model: NousResearch/Meta-Llama-3.1-8B-Instruct |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.5277 |
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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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| 0.5011 | 25.0 | 25 | 3.0612 | |
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| 0.0019 | 50.0 | 50 | 4.5464 | |
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| 0.0002 | 75.0 | 75 | 4.6303 | |
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| 0.0001 | 100.0 | 100 | 4.6056 | |
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| 0.0001 | 125.0 | 125 | 4.5918 | |
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| 0.0001 | 150.0 | 150 | 4.5832 | |
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| 0.0001 | 175.0 | 175 | 4.5747 | |
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| 0.0001 | 200.0 | 200 | 4.5668 | |
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| 0.0001 | 225.0 | 225 | 4.5618 | |
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| 0.0 | 250.0 | 250 | 4.5547 | |
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| 0.0 | 275.0 | 275 | 4.5493 | |
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| 0.0 | 300.0 | 300 | 4.5446 | |
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| 0.0 | 325.0 | 325 | 4.5417 | |
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| 0.0 | 350.0 | 350 | 4.5371 | |
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| 0.0 | 375.0 | 375 | 4.5340 | |
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| 0.0 | 400.0 | 400 | 4.5326 | |
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| 0.0 | 425.0 | 425 | 4.5295 | |
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| 0.0 | 450.0 | 450 | 4.5290 | |
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| 0.0 | 475.0 | 475 | 4.5282 | |
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| 0.0 | 500.0 | 500 | 4.5277 | |
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### Framework versions |
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- PEFT 0.13.2 |
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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 0.20.1 |
