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--- |
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license: llama3.1 |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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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: Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests |
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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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# Meta-Llama-3.1-8B-Instruct-function-calling-json-mode-VisitorRequests |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co./meta-llama/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: 0.7127 |
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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: 0.0003 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.1526 | 0.0630 | 1 | 2.0335 | |
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| 2.0911 | 0.1260 | 2 | 1.4581 | |
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| 1.4849 | 0.1890 | 3 | 1.5173 | |
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| 1.4637 | 0.2520 | 4 | 1.4524 | |
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| 1.4601 | 0.3150 | 5 | 1.1220 | |
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| 1.126 | 0.3780 | 6 | 0.9505 | |
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| 0.9398 | 0.4409 | 7 | 0.9023 | |
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| 0.8999 | 0.5039 | 8 | 0.9739 | |
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| 0.9304 | 0.5669 | 9 | 0.9137 | |
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| 0.9523 | 0.6299 | 10 | 0.8252 | |
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| 0.8594 | 0.6929 | 11 | 0.8355 | |
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| 0.8166 | 0.7559 | 12 | 0.7858 | |
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| 0.7787 | 0.8189 | 13 | 0.7842 | |
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| 0.8018 | 0.8819 | 14 | 0.7916 | |
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| 0.727 | 0.9449 | 15 | 0.7430 | |
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| 0.7281 | 1.0079 | 16 | 0.7661 | |
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| 0.7854 | 1.0709 | 17 | 0.7372 | |
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| 0.7343 | 1.1339 | 18 | 0.7295 | |
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| 0.6652 | 1.1969 | 19 | 0.7325 | |
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| 0.6603 | 1.2598 | 20 | 0.7454 | |
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| 0.6652 | 1.3228 | 21 | 0.7600 | |
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| 0.7026 | 1.3858 | 22 | 0.7352 | |
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| 0.7216 | 1.4488 | 23 | 0.7302 | |
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| 0.7148 | 1.5118 | 24 | 0.7092 | |
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| 0.6603 | 1.5748 | 25 | 0.7158 | |
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| 0.7028 | 1.6378 | 26 | 0.7077 | |
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| 0.6412 | 1.7008 | 27 | 0.7090 | |
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| 0.6496 | 1.7638 | 28 | 0.7042 | |
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| 0.6938 | 1.8268 | 29 | 0.7149 | |
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| 0.6696 | 1.8898 | 30 | 0.7127 | |
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### Framework versions |
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- PEFT 0.5.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.16.0 |
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- Tokenizers 0.19.1 |
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