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README.md
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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/mistral-7b-v0.3-bnb-4bit
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model-index:
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- name: mistral_7b_v_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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# mistral_7b_v_Magiccoder_evol_10k_qlora_ortho
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This model is a fine-tuned version of [unsloth/mistral-7b-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1813
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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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| 1.2034 | 0.0262 | 4 | 1.2458 |
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| 1.1597 | 0.0523 | 8 | 1.2035 |
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| 1.1977 | 0.0785 | 12 | 1.2045 |
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| 1.1152 | 0.1047 | 16 | 1.2144 |
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| 1.1623 | 0.1308 | 20 | 1.2207 |
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| 1.0816 | 0.1570 | 24 | 1.1929 |
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| 1.2421 | 0.1832 | 28 | 1.2018 |
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| 1.1908 | 0.2093 | 32 | 1.2023 |
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| 1.1187 | 0.2355 | 36 | 1.1926 |
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| 1.2034 | 0.2617 | 40 | 1.1915 |
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| 1.2092 | 0.2878 | 44 | 1.1850 |
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| 1.1567 | 0.3140 | 48 | 1.2156 |
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| 1.1722 | 0.3401 | 52 | 1.1912 |
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| 1.162 | 0.3663 | 56 | 1.2044 |
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| 1.1497 | 0.3925 | 60 | 1.1980 |
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| 1.2205 | 0.4186 | 64 | 1.1945 |
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| 1.0966 | 0.4448 | 68 | 1.1971 |
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| 1.123 | 0.4710 | 72 | 1.1945 |
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| 1.1222 | 0.4971 | 76 | 1.1951 |
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| 1.2472 | 0.5233 | 80 | 1.2024 |
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| 1.1078 | 0.5495 | 84 | 1.1941 |
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| 1.1993 | 0.5756 | 88 | 1.2111 |
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| 1.2313 | 0.6018 | 92 | 1.1870 |
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| 1.2431 | 0.6280 | 96 | 1.2047 |
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| 1.1563 | 0.6541 | 100 | 1.1774 |
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| 1.169 | 0.6803 | 104 | 1.2005 |
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| 1.1873 | 0.7065 | 108 | 1.1957 |
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| 1.0478 | 0.7326 | 112 | 1.1760 |
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| 1.1245 | 0.7588 | 116 | 1.1628 |
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| 1.1261 | 0.7850 | 120 | 1.1827 |
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| 1.1876 | 0.8111 | 124 | 1.1869 |
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| 1.1743 | 0.8373 | 128 | 1.1761 |
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| 1.1865 | 0.8635 | 132 | 1.1744 |
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| 1.1202 | 0.8896 | 136 | 1.1768 |
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| 1.2158 | 0.9158 | 140 | 1.1790 |
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| 1.0798 | 0.9419 | 144 | 1.1802 |
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| 1.0996 | 0.9681 | 148 | 1.1814 |
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| 1.2424 | 0.9943 | 152 | 1.1813 |
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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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