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Upload model weights

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  1. .gitattributes +1 -0
  2. README.md +56 -0
  3. all_results.json +18 -0
  4. config.json +32 -0
  5. config.txt +1 -0
  6. eval_results.json +12 -0
  7. generation_config.json +9 -0
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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: meta-llama/Meta-Llama-3-8B
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - vicgalle/alpaca-gpt4
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+ model-index:
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+ - name: 1e-5_bnoniid_layer
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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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+ # 1e-5_bnoniid_layer
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+
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+ This model is a fine-tuned version of [/data/public_models/Meta-Llama-3-8B](https://huggingface.co//data/public_models/Meta-Llama-3-8B) on the vicgalle/alpaca-gpt4 default 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: 8.78925141040004e-07
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+ - train_batch_size: 1
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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: 4
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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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 4.45.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.20.3
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+ {
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+ "epoch": 1.0,
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+ "eval_accuracy": 0.7222487440041828,
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+ "eval_bleu": 0.0,
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+ "eval_loss": 1.0461024045944214,
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+ "eval_rougeL": 0.5729727886517084,
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+ "eval_runtime": 17.5083,
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+ "eval_samples": 86,
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+ "eval_samples_per_second": 4.912,
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+ "eval_steps_per_second": 0.628,
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+ "perplexity": 2.846534827668364,
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+ "total_flos": 2213292344868864.0,
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+ "train_loss": 1.0366925398508708,
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+ "train_runtime": 6.9379,
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+ "train_samples": 801,
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+ "train_samples_per_second": 6.919,
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+ "train_steps_per_second": 1.73
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+ }
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+ {
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+ "_name_or_path": "/data/public_models/Meta-Llama-3-8B",
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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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+ "bos_token_id": 128000,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 500000.0,
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+ "seed": 42,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.2",
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+ "use_cache": true,
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+ "vocab_size": 128256
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+ }
config.txt ADDED
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+ --model_name_or_path /data/public_models/Meta-Llama-3-8B --output_dir /data/yujia_wang/fedmoe_llama/moe/checkpoints_moe/Meta-Llama-3-8B/vicgalle/alpaca-gpt4/1e-5_bnoniid_layer --dataset_name vicgalle/alpaca-gpt4 --dataset_config_name default --per_device_train_batch_size 1 --per_device_eval_batch_size 8 --num_train_epochs 1 --overwrite_output_dir --do_train True --do_eval --seed 42 --dataloader_num_workers 16 --disable_tqdm False --save_strategy no --evaluation_strategy epoch --load_best_model_at_end True --learning_rate 1e-5 --notes layer --split_strategy bnoniid --num_rounds 32 --num_clients 10 --sample_clients 10 --max_gate_samples 50 --max_train_samples 60000 --gradient_accumulation_steps 4
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+ "perplexity": 2.846534827668364
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