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--- |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MSc_llama3_finetuned_model_secondData |
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results: [] |
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library_name: peft |
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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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# MSc_llama3_finetuned_model_secondData |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5909 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 250 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.3698 | 1.36 | 10 | 2.0432 | |
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| 1.3777 | 2.71 | 20 | 1.0067 | |
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| 0.8126 | 4.07 | 30 | 0.7822 | |
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| 0.6642 | 5.42 | 40 | 0.7281 | |
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| 0.5708 | 6.78 | 50 | 0.7218 | |
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| 0.5062 | 8.14 | 60 | 0.7360 | |
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| 0.4379 | 9.49 | 70 | 0.7781 | |
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| 0.3924 | 10.85 | 80 | 0.8310 | |
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| 0.3435 | 12.2 | 90 | 0.8856 | |
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| 0.3041 | 13.56 | 100 | 1.0389 | |
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| 0.2787 | 14.92 | 110 | 1.0664 | |
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| 0.2553 | 16.27 | 120 | 1.1655 | |
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| 0.2388 | 17.63 | 130 | 1.2397 | |
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| 0.2288 | 18.98 | 140 | 1.2049 | |
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| 0.2128 | 20.34 | 150 | 1.2746 | |
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| 0.2081 | 21.69 | 160 | 1.3889 | |
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| 0.1998 | 23.05 | 170 | 1.3942 | |
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| 0.1909 | 24.41 | 180 | 1.4383 | |
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| 0.188 | 25.76 | 190 | 1.5012 | |
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| 0.1841 | 27.12 | 200 | 1.5246 | |
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| 0.18 | 28.47 | 210 | 1.5528 | |
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| 0.1794 | 29.83 | 220 | 1.5662 | |
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| 0.1773 | 31.19 | 230 | 1.5788 | |
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| 0.1751 | 32.54 | 240 | 1.5889 | |
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| 0.1756 | 33.9 | 250 | 1.5909 | |
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### Framework versions |
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- PEFT 0.4.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.13.1 |
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- Tokenizers 0.15.2 |
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