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--- |
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library_name: peft |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-1B-Instruct |
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tags: |
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- base_model:adapter:meta-llama/Llama-3.2-1B-Instruct |
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- llama-factory |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: test |
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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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# test |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the wsc dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4947 |
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- Num Input Tokens Seen: 43904 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 123 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| 0.9316 | 0.0522 | 13 | 0.9549 | 2288 | |
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| 1.1199 | 0.1044 | 26 | 0.8822 | 4656 | |
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| 0.8317 | 0.1566 | 39 | 0.8176 | 6944 | |
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| 0.7882 | 0.2088 | 52 | 0.7668 | 9232 | |
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| 0.7909 | 0.2610 | 65 | 0.6973 | 11424 | |
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| 0.7007 | 0.3133 | 78 | 0.6643 | 13760 | |
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| 0.7416 | 0.3655 | 91 | 0.6244 | 16048 | |
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| 0.8212 | 0.4177 | 104 | 0.5990 | 18272 | |
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| 0.4927 | 0.4699 | 117 | 0.5652 | 20656 | |
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| 0.5708 | 0.5221 | 130 | 0.5375 | 23056 | |
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| 0.4855 | 0.5743 | 143 | 0.5332 | 25312 | |
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| 0.5239 | 0.6265 | 156 | 0.5173 | 27552 | |
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| 0.4772 | 0.6787 | 169 | 0.5134 | 29984 | |
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| 0.4958 | 0.7309 | 182 | 0.5051 | 32080 | |
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| 0.6547 | 0.7831 | 195 | 0.5062 | 34176 | |
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| 0.6246 | 0.8353 | 208 | 0.5012 | 36512 | |
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| 0.5174 | 0.8876 | 221 | 0.4947 | 38912 | |
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| 0.5318 | 0.9398 | 234 | 0.4977 | 41120 | |
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| 0.445 | 0.9920 | 247 | 0.5010 | 43600 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.9.1+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
