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+ ---
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+ license: llama3
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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: gradientai/Llama-3-8B-Instruct-262k
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: th_cl_33epochs_lora_pos_neg
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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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+ # th_cl_33epochs_lora_pos_neg
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+
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+ This model is a fine-tuned version of [gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2303
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+ - Balanced Accuracy: 0.47
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+ - Accuracy: 0.4667
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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: 0.0001
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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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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
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+ | 0.3999 | 1.0 | 32 | 1.0531 | 0.4939 | 0.4889 |
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+ | 0.2178 | 2.0 | 64 | 1.0585 | 0.4722 | 0.4667 |
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+ | 0.0794 | 3.0 | 96 | 1.0634 | 0.55 | 0.5556 |
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+ | 0.0271 | 4.0 | 128 | 1.2090 | 0.53 | 0.5333 |
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+ | 0.0412 | 5.0 | 160 | 1.2303 | 0.47 | 0.4667 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.40.0
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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