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Farisya/ft-usermanual

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- library_name: transformers
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- # Model Card for Model ID
 
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- ## Model Details
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- ## Uses
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- ## How to Get Started with the Model
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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: ft-usermanual
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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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+ # ft-usermanual
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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: 2.9086
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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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: 10
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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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+ | 6.1167 | 0.67 | 1 | 3.8820 |
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+ | 3.004 | 2.0 | 3 | 3.6082 |
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+ | 5.5234 | 2.67 | 4 | 3.4297 |
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+ | 2.5899 | 4.0 | 6 | 3.1544 |
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+ | 4.7867 | 4.67 | 7 | 3.0576 |
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+ | 2.3257 | 6.0 | 9 | 2.9346 |
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+ | 3.0372 | 6.67 | 10 | 2.9086 |
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+ ### Framework versions
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+ - PEFT 0.9.0
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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