End of training
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README.md
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---
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license: llama2
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library_name: peft
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tags:
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- unsloth
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- generated_from_trainer
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base_model: meta-llama/Llama-2-13b-hf
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model-index:
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- name: llama_2_13b_Magiccoder_evol_10k
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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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# llama_2_13b_Magiccoder_evol_10k
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This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1044
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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_steps: 0.02
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2459 | 0.0262 | 4 | 1.2861 |
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| 1.2388 | 0.0523 | 8 | 1.2259 |
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| 1.1411 | 0.0785 | 12 | 1.1833 |
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| 1.0897 | 0.1047 | 16 | 1.1669 |
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| 1.1171 | 0.1308 | 20 | 1.1500 |
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| 1.0835 | 0.1570 | 24 | 1.1420 |
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| 1.0782 | 0.1832 | 28 | 1.1362 |
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| 1.1353 | 0.2093 | 32 | 1.1333 |
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| 1.0558 | 0.2355 | 36 | 1.1298 |
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| 1.1398 | 0.2617 | 40 | 1.1281 |
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| 1.1114 | 0.2878 | 44 | 1.1244 |
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| 1.1543 | 0.3140 | 48 | 1.1219 |
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| 1.1327 | 0.3401 | 52 | 1.1189 |
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| 1.1016 | 0.3663 | 56 | 1.1179 |
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| 1.1543 | 0.3925 | 60 | 1.1173 |
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| 1.1484 | 0.4186 | 64 | 1.1153 |
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| 1.095 | 0.4448 | 68 | 1.1130 |
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| 1.1118 | 0.4710 | 72 | 1.1109 |
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| 1.0624 | 0.4971 | 76 | 1.1103 |
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| 1.1475 | 0.5233 | 80 | 1.1093 |
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| 1.161 | 0.5495 | 84 | 1.1094 |
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| 1.1018 | 0.5756 | 88 | 1.1091 |
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| 1.0541 | 0.6018 | 92 | 1.1065 |
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| 1.054 | 0.6280 | 96 | 1.1055 |
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| 1.1113 | 0.6541 | 100 | 1.1055 |
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| 1.0971 | 0.6803 | 104 | 1.1053 |
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| 1.0903 | 0.7065 | 108 | 1.1054 |
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| 1.1206 | 0.7326 | 112 | 1.1052 |
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| 1.0687 | 0.7588 | 116 | 1.1048 |
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| 1.0892 | 0.7850 | 120 | 1.1043 |
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| 1.1158 | 0.8111 | 124 | 1.1041 |
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| 1.0789 | 0.8373 | 128 | 1.1042 |
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| 1.0154 | 0.8635 | 132 | 1.1044 |
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| 1.1258 | 0.8896 | 136 | 1.1044 |
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| 1.0419 | 0.9158 | 140 | 1.1044 |
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| 1.0886 | 0.9419 | 144 | 1.1044 |
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| 1.1031 | 0.9681 | 148 | 1.1044 |
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| 1.0979 | 0.9943 | 152 | 1.1044 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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