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README.md ADDED
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+ ---
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+ base_model: princeton-nlp/Llama-3-Base-8B-SFT
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+ tags:
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+ - alignment_handbook-handbook
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+ - generated_from_trainer
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+ datasets:
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+ - HuggingFaceH4/ultrafeedback_binarized
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+ model-index:
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+ - name: Meta-Llama-3-8B-Base-MI-1e-6
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tengxiao01/huggingface/runs/x6yxbha7)
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+ # Meta-Llama-3-8B-Base-MI-1e-6
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+
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+ This model is a fine-tuned version of [princeton-nlp/Llama-3-Base-8B-SFT](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT) on the HuggingFaceH4/ultrafeedback_binarized 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: 1e-06
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+ - train_batch_size: 2
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 16
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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: 1
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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 4.42.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.19.1
all_results.json ADDED
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+ {
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+ "epoch": 0.998691442030882,
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+ "total_flos": 0.0,
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+ "train_runtime": 4.3143,
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+ "train_samples": 61135,
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+ "train_samples_per_second": 14170.447,
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+ "train_steps_per_second": 110.564
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+ }
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+ {
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+ "_name_or_path": "princeton-nlp/Llama-3-Base-8B-SFT",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.42.0",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
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