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trungtienluong/test_5

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README.md ADDED
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+ ---
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+ license: llama2
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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: vilm/vinallama-7b-chat
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+ model-index:
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+ - name: experiments
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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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+ # experiments
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+
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+ This model is a fine-tuned version of [vilm/vinallama-7b-chat](https://huggingface.co/vilm/vinallama-7b-chat) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4668
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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: 5e-05
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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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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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: 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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+ | 0.3854 | 0.7 | 10 | 0.4145 |
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+ | 0.3751 | 1.4 | 20 | 0.3999 |
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+ | 0.3457 | 2.11 | 30 | 0.3857 |
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+ | 0.324 | 2.81 | 40 | 0.3821 |
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+ | 0.2329 | 3.51 | 50 | 0.3845 |
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+ | 0.2332 | 4.21 | 60 | 0.3878 |
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+ | 0.2211 | 4.91 | 70 | 0.3929 |
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+ | 0.1682 | 5.61 | 80 | 0.4093 |
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+ | 0.1503 | 6.32 | 90 | 0.4416 |
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+ | 0.1439 | 7.02 | 100 | 0.4299 |
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+ | 0.1299 | 7.72 | 110 | 0.4648 |
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+ | 0.1074 | 8.42 | 120 | 0.4574 |
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+ | 0.099 | 9.12 | 130 | 0.4655 |
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+ | 0.1078 | 9.82 | 140 | 0.4668 |
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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 2.19.2
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+ - Tokenizers 0.15.2
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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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