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santoshmds21/smgpt-ft

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: shawgpt-ft
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+ results: []
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+ ---
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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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+
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+ # shawgpt-ft
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+
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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: 1.4276
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.2131 | 1.0 | 4 | 3.7758 |
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+ | 3.4606 | 2.0 | 8 | 3.1119 |
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+ | 2.8976 | 3.0 | 12 | 2.6217 |
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+ | 2.4209 | 4.0 | 16 | 2.3240 |
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+ | 2.2093 | 5.0 | 20 | 1.9847 |
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+ | 1.7278 | 6.0 | 24 | 1.7438 |
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+ | 1.4981 | 7.0 | 28 | 1.5861 |
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+ | 1.444 | 8.0 | 32 | 1.4874 |
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+ | 1.368 | 9.0 | 36 | 1.4439 |
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+ | 1.2514 | 10.0 | 40 | 1.4276 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.52.4
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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