初始化项目,由ModelHub XC社区提供模型
Model: eekay/Qwen2.5-7B-Instruct-elephant-numbers-ft Source: Original Platform
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config.json
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76
config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"ft_cfg": {
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"bf16": true,
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"continue_final_message": true,
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"dataset_name": "eekay/Qwen2.5-7B-Instruct-elephant-numbers",
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"gradient_accumulation_steps": 1,
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"learning_rate": 3e-05,
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"logging_steps": 100,
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"lora_layers": null,
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"lora_rank": 8,
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"lr_scheduler_type": "constant",
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"max_grad_norm": 1.0,
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"model_id": "Qwen/Qwen2.5-7B-Instruct",
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"model_save_name": "Qwen2.5-7B-Instruct-elephant-numbers-ft",
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"n_examples": 30000,
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"num_train_epochs": 1,
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"per_device_train_batch_size": 32,
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"train_attn": true
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},
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.6",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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