kiendt/b
Browse files
README.md
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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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# experiments
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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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: 0.05
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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- PEFT 0.10.1.dev0
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- Transformers 4.41.0.dev0
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- Pytorch 2.2
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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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[<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/trungkien-mv123/huggingface/runs/rg79iea6)
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# experiments
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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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: 0.05
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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- PEFT 0.10.1.dev0
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- Transformers 4.41.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"o_proj",
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-
"k_proj",
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"v_proj",
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"down_proj",
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"up_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"gate_proj",
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"o_proj",
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"v_proj",
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"up_proj",
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"down_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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runs/Apr22_05-08-34_5d51fb9489cf/events.out.tfevents.1713762528.5d51fb9489cf.34.0
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training_args.bin
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