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--- |
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license: apache-2.0 |
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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: unsloth/llama-2-13b-bnb-4bit |
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model-index: |
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- name: llama_2_13b_Magiccoder_evol_10k_qlora_ortho |
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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_qlora_ortho |
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This model is a fine-tuned version of [unsloth/llama-2-13b-bnb-4bit](https://huggingface.co/unsloth/llama-2-13b-bnb-4bit) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0950 |
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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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| 1.2067 | 0.0262 | 4 | 1.1823 | |
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| 1.1675 | 0.0523 | 8 | 1.1498 | |
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| 1.1004 | 0.0785 | 12 | 1.1349 | |
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| 1.0531 | 0.1047 | 16 | 1.1288 | |
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| 1.0946 | 0.1308 | 20 | 1.1246 | |
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| 1.0602 | 0.1570 | 24 | 1.1215 | |
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| 1.0636 | 0.1832 | 28 | 1.1175 | |
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| 1.1078 | 0.2093 | 32 | 1.1151 | |
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| 1.04 | 0.2355 | 36 | 1.1125 | |
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| 1.115 | 0.2617 | 40 | 1.1123 | |
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| 1.0994 | 0.2878 | 44 | 1.1102 | |
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| 1.1379 | 0.3140 | 48 | 1.1098 | |
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| 1.1145 | 0.3401 | 52 | 1.1064 | |
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| 1.0849 | 0.3663 | 56 | 1.1088 | |
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| 1.1317 | 0.3925 | 60 | 1.1087 | |
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| 1.134 | 0.4186 | 64 | 1.1056 | |
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| 1.0856 | 0.4448 | 68 | 1.1038 | |
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| 1.0972 | 0.4710 | 72 | 1.1004 | |
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| 1.044 | 0.4971 | 76 | 1.1005 | |
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| 1.1311 | 0.5233 | 80 | 1.1004 | |
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| 1.1474 | 0.5495 | 84 | 1.1002 | |
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| 1.0886 | 0.5756 | 88 | 1.0999 | |
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| 1.0372 | 0.6018 | 92 | 1.0973 | |
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| 1.0376 | 0.6280 | 96 | 1.0968 | |
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| 1.1006 | 0.6541 | 100 | 1.0965 | |
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| 1.09 | 0.6803 | 104 | 1.0964 | |
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| 1.0786 | 0.7065 | 108 | 1.0969 | |
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| 1.111 | 0.7326 | 112 | 1.0970 | |
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| 1.053 | 0.7588 | 116 | 1.0961 | |
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| 1.0764 | 0.7850 | 120 | 1.0948 | |
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| 1.0971 | 0.8111 | 124 | 1.0944 | |
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| 1.0572 | 0.8373 | 128 | 1.0948 | |
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| 0.999 | 0.8635 | 132 | 1.0949 | |
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| 1.1098 | 0.8896 | 136 | 1.0951 | |
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| 1.0215 | 0.9158 | 140 | 1.0951 | |
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| 1.0759 | 0.9419 | 144 | 1.0951 | |
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| 1.096 | 0.9681 | 148 | 1.0950 | |
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| 1.08 | 0.9943 | 152 | 1.0950 | |
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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 |
