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--- |
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library_name: peft |
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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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- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct |
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- llama-factory |
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- lora |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: train_sst2_101112_1760638077 |
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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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# train_sst2_101112_1760638077 |
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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 sst2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0642 |
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- Num Input Tokens Seen: 67752208 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 101112 |
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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: 20 |
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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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| 0.1865 | 1.0 | 15154 | 0.0877 | 3387376 | |
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| 0.0316 | 2.0 | 30308 | 0.0642 | 6776272 | |
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| 0.0042 | 3.0 | 45462 | 0.0712 | 10162816 | |
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| 0.0008 | 4.0 | 60616 | 0.0950 | 13553408 | |
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| 0.0003 | 5.0 | 75770 | 0.1063 | 16938528 | |
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| 0.001 | 6.0 | 90924 | 0.1091 | 20326208 | |
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| 0.0131 | 7.0 | 106078 | 0.1454 | 23713072 | |
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| 0.0008 | 8.0 | 121232 | 0.1714 | 27100096 | |
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| 0.0264 | 9.0 | 136386 | 0.1994 | 30487024 | |
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| 0.0043 | 10.0 | 151540 | 0.1653 | 33871648 | |
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| 0.0 | 11.0 | 166694 | 0.1943 | 37260608 | |
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| 0.0 | 12.0 | 181848 | 0.1818 | 40646320 | |
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| 0.0 | 13.0 | 197002 | 0.2055 | 44035072 | |
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| 0.0001 | 14.0 | 212156 | 0.2781 | 47423936 | |
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| 0.0 | 15.0 | 227310 | 0.2884 | 50810512 | |
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| 0.0 | 16.0 | 242464 | 0.3510 | 54201824 | |
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| 0.0 | 17.0 | 257618 | 0.3313 | 57588768 | |
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| 0.0 | 18.0 | 272772 | 0.3547 | 60979040 | |
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| 0.0 | 19.0 | 287926 | 0.3597 | 64364064 | |
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| 0.0 | 20.0 | 303080 | 0.3623 | 67752208 | |
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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 2.9.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
