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README.md CHANGED
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  ---
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  base_model: hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: Meta-Llama-3-8B-Instruct-function-calling-json-mode-VisitorRequests
@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Meta-Llama-3-8B-Instruct-function-calling-json-mode-VisitorRequests
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- This model is a fine-tuned version of [hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode](https://huggingface.co/hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 7.5946
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  ## Model description
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  ### Training results
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  ### Framework versions
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  - PEFT 0.5.0
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- - Transformers 4.36.2
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.16.0
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- - Tokenizers 0.15.0
 
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  ---
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  base_model: hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode
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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-3-8B-Instruct-function-calling-json-mode-VisitorRequests
 
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  # Meta-Llama-3-8B-Instruct-function-calling-json-mode-VisitorRequests
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+ This model is a fine-tuned version of [hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode](https://huggingface.co/hiieu/Meta-Llama-3-8B-Instruct-function-calling-json-mode) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7458
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.0583 | 0.0630 | 1 | 3.3171 |
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+ | 3.2898 | 0.1260 | 2 | 1.8112 |
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+ | 1.7495 | 0.1890 | 3 | 1.3350 |
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+ | 1.3176 | 0.2520 | 4 | 5.6302 |
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+ | 5.9627 | 0.3150 | 5 | 2.1688 |
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+ | 2.1926 | 0.3780 | 6 | 1.4297 |
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+ | 1.3724 | 0.4409 | 7 | 1.2279 |
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+ | 1.2125 | 0.5039 | 8 | 0.9445 |
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+ | 0.9749 | 0.5669 | 9 | 1.1901 |
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+ | 1.2164 | 0.6299 | 10 | 0.9843 |
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+ | 0.9808 | 0.6929 | 11 | 0.9213 |
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+ | 0.8698 | 0.7559 | 12 | 0.8721 |
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+ | 0.8668 | 0.8189 | 13 | 0.9308 |
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+ | 0.8635 | 0.8819 | 14 | 0.8319 |
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+ | 0.7789 | 0.9449 | 15 | 0.8164 |
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+ | 0.7402 | 1.0079 | 16 | 0.8220 |
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+ | 0.7312 | 1.0709 | 17 | 0.8305 |
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+ | 0.7561 | 1.1339 | 18 | 0.9768 |
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+ | 0.9879 | 1.1969 | 19 | 0.8437 |
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+ | 0.7647 | 1.2598 | 20 | 0.8364 |
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+ | 0.7093 | 1.3228 | 21 | 0.8028 |
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+ | 0.7358 | 1.3858 | 22 | 0.8184 |
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+ | 0.7301 | 1.4488 | 23 | 0.8050 |
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+ | 0.7607 | 1.5118 | 24 | 0.7652 |
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+ | 0.6892 | 1.5748 | 25 | 0.7317 |
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+ | 0.7158 | 1.6378 | 26 | 0.7236 |
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+ | 0.6701 | 1.7008 | 27 | 0.7130 |
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+ | 0.6905 | 1.7638 | 28 | 0.7529 |
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+ | 0.6791 | 1.8268 | 29 | 0.7813 |
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+ | 0.7093 | 1.8898 | 30 | 0.7458 |
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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
runs/Aug19_13-37-37_chimera13/events.out.tfevents.1724089976.chimera13.237850.1 ADDED
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+ size 354