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anllmendpoint

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - /apdcephfs/share_733425/vinnylywang/jianhuipang/datasets/RedPajama-Data-1T-Sample
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+ model-index:
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+ - name: allm-juhao-7b
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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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+ # allm-juhao-7b
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+
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+ This model is a fine-tuned version of [/apdcephfs/share_733425/vinnylywang/jianhuipang/opensourcellms/llama2/Llama-2-7b-hf](https://huggingface.co//apdcephfs/share_733425/vinnylywang/jianhuipang/opensourcellms/llama2/Llama-2-7b-hf) on the /apdcephfs/share_733425/vinnylywang/jianhuipang/datasets/RedPajama-Data-1T-Sample dataset.
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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: 2
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+ - eval_batch_size: 1
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+ - seed: 34
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+ - distributed_type: multi-GPU
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+ - num_devices: 32
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 512
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+ - total_eval_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: constant_with_warmup
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+ - lr_scheduler_warmup_steps: 20
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+ - num_epochs: 1.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0.dev0
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+ - Pytorch 1.13.1+cu117
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+ - Datasets 2.14.6
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+ - Tokenizers 0.13.3
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+ "train_samples_per_second": 9.004,
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+ "train_steps_per_second": 0.018
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+ }
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+ "LlamaForCausalLM"
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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