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trungtienluong/test_5

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README.md ADDED
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+ ---
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+ base_model: HuggingFaceH4/zephyr-7b-beta
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+ library_name: peft
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: experiments500czephymodel_v3
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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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+ # experiments500czephymodel_v3
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+
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+ This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2749
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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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_ratio: 0.1
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+ - num_epochs: 8
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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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+ | 0.3561 | 1.0 | 50 | 0.3625 |
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+ | 0.2785 | 2.0 | 100 | 0.3014 |
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+ | 0.1976 | 3.0 | 150 | 0.2770 |
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+ | 0.1583 | 4.0 | 200 | 0.2718 |
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+ | 0.1064 | 5.0 | 250 | 0.2785 |
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+ | 0.0787 | 6.0 | 300 | 0.2934 |
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+ | 0.0523 | 7.0 | 350 | 0.3087 |
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+ | 0.0447 | 8.0 | 400 | 0.3199 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.36.0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.15.2
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "target_modules": [
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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