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End of training
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README.md
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---
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license:
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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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- generated_from_trainer
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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model-index:
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- name: Mistral-7B-Instruct-v0.2-GPTQ_retrained_NF_ToN_IoT_and_IoV
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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-Instruct-v0.2-GPTQ_retrained_NF_ToN_IoT_and_IoV
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2868
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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: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.3006 | 1.0 | 6 | 2.3850 |
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| 2.7433 | 2.0 | 12 | 2.2173 |
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| 2.0996 | 3.0 | 18 | 2.0360 |
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| 1.8643 | 4.0 | 24 | 1.8737 |
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| 1.6957 | 5.0 | 30 | 1.6282 |
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| 1.5218 | 6.0 | 36 | 1.3941 |
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| 1.3533 | 7.0 | 42 | 1.1838 |
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| 1.2254 | 8.0 | 48 | 0.9170 |
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| 1.0833 | 9.0 | 54 | 0.7903 |
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| 0.9952 | 10.0 | 60 | 0.6717 |
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| 0.9268 | 11.0 | 66 | 0.5796 |
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| 0.8677 | 12.0 | 72 | 0.5221 |
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| 0.8085 | 13.0 | 78 | 0.4615 |
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| 0.7681 | 14.0 | 84 | 0.3964 |
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| 0.7376 | 15.0 | 90 | 0.3510 |
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| 0.7131 | 16.0 | 96 | 0.3303 |
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| 0.6965 | 17.0 | 102 | 0.3086 |
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| 0.6863 | 18.0 | 108 | 0.2997 |
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| 0.677 | 19.0 | 114 | 0.2917 |
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| 0.6732 | 20.0 | 120 | 0.2868 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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runs/May11_06-25-37_4bdff4cf1bcc/events.out.tfevents.1715409925.4bdff4cf1bcc.628.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:b88973371909b6acb697303daa9c1578c5a6ee967e6b76c6bc7b6eeca1767b0c
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size 354
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