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README.md CHANGED
@@ -1,3 +1,61 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - llama-factory
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+ - lora
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+ - generated_from_trainer
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+ base_model: Qwen2/Qwen2-7B-Instruct
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+ model-index:
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+ - name: sft_0622_policy2
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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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+ # sft_0622_policy2
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+
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+ This model is a fine-tuned version of [/root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-lora-06072000](https://huggingface.co//root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-lora-06072000) on the sft_data_3491 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8861
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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: 0.0001
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+ - train_batch_size: 4
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_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: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5.0
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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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+ - PEFT 0.11.1
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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+ "gate_proj",
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+ "down_proj",
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+ "o_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ {"current_steps": 90, "total_steps": 225, "loss": 0.7797, "learning_rate": 7.5224143172432e-05, "epoch": 2.0, "percentage": 40.0, "elapsed_time": "0:05:25", "remaining_time": "0:08:07", "throughput": "0.00", "total_tokens": 0}
46
+ {"current_steps": 92, "total_steps": 225, "loss": 0.7651, "learning_rate": 7.386932700255636e-05, "epoch": 2.0444444444444443, "percentage": 40.89, "elapsed_time": "0:05:32", "remaining_time": "0:08:00", "throughput": "0.00", "total_tokens": 0}
47
+ {"current_steps": 94, "total_steps": 225, "loss": 0.741, "learning_rate": 7.24914188003818e-05, "epoch": 2.088888888888889, "percentage": 41.78, "elapsed_time": "0:05:39", "remaining_time": "0:07:53", "throughput": "0.00", "total_tokens": 0}
48
+ {"current_steps": 96, "total_steps": 225, "loss": 0.695, "learning_rate": 7.109175160310312e-05, "epoch": 2.1333333333333333, "percentage": 42.67, "elapsed_time": "0:05:46", "remaining_time": "0:07:45", "throughput": "0.00", "total_tokens": 0}
49
+ {"current_steps": 98, "total_steps": 225, "loss": 0.7259, "learning_rate": 6.967167949833763e-05, "epoch": 2.1777777777777776, "percentage": 43.56, "elapsed_time": "0:05:52", "remaining_time": "0:07:36", "throughput": "0.00", "total_tokens": 0}
50
+ {"current_steps": 100, "total_steps": 225, "loss": 0.7574, "learning_rate": 6.823257631413276e-05, "epoch": 2.2222222222222223, "percentage": 44.44, "elapsed_time": "0:06:00", "remaining_time": "0:07:30", "throughput": "0.00", "total_tokens": 0}
51
+ {"current_steps": 102, "total_steps": 225, "loss": 0.6457, "learning_rate": 6.677583428987625e-05, "epoch": 2.2666666666666666, "percentage": 45.33, "elapsed_time": "0:06:07", "remaining_time": "0:07:23", "throughput": "0.00", "total_tokens": 0}
52
+ {"current_steps": 104, "total_steps": 225, "loss": 0.6498, "learning_rate": 6.530286272939437e-05, "epoch": 2.311111111111111, "percentage": 46.22, "elapsed_time": "0:06:14", "remaining_time": "0:07:15", "throughput": "0.00", "total_tokens": 0}
53
+ {"current_steps": 106, "total_steps": 225, "loss": 0.6389, "learning_rate": 6.381508663754153e-05, "epoch": 2.3555555555555556, "percentage": 47.11, "elapsed_time": "0:06:21", "remaining_time": "0:07:08", "throughput": "0.00", "total_tokens": 0}
54
+ {"current_steps": 108, "total_steps": 225, "loss": 0.7215, "learning_rate": 6.231394534160008e-05, "epoch": 2.4, "percentage": 48.0, "elapsed_time": "0:06:28", "remaining_time": "0:07:00", "throughput": "0.00", "total_tokens": 0}
55
+ {"current_steps": 110, "total_steps": 225, "loss": 0.7096, "learning_rate": 6.0800891098824186e-05, "epoch": 2.4444444444444446, "percentage": 48.89, "elapsed_time": "0:06:34", "remaining_time": "0:06:52", "throughput": "0.00", "total_tokens": 0}
56
+ {"current_steps": 112, "total_steps": 225, "loss": 0.6736, "learning_rate": 5.9277387691474676e-05, "epoch": 2.488888888888889, "percentage": 49.78, "elapsed_time": "0:06:42", "remaining_time": "0:06:46", "throughput": "0.00", "total_tokens": 0}
57
+ {"current_steps": 114, "total_steps": 225, "loss": 0.6875, "learning_rate": 5.774490901070424e-05, "epoch": 2.533333333333333, "percentage": 50.67, "elapsed_time": "0:06:49", "remaining_time": "0:06:39", "throughput": "0.00", "total_tokens": 0}
58
+ {"current_steps": 116, "total_steps": 225, "loss": 0.6023, "learning_rate": 5.620493763066297e-05, "epoch": 2.5777777777777775, "percentage": 51.56, "elapsed_time": "0:06:56", "remaining_time": "0:06:31", "throughput": "0.00", "total_tokens": 0}
59
+ {"current_steps": 118, "total_steps": 225, "loss": 0.6356, "learning_rate": 5.465896337420359e-05, "epoch": 2.6222222222222222, "percentage": 52.44, "elapsed_time": "0:07:03", "remaining_time": "0:06:24", "throughput": "0.00", "total_tokens": 0}
60
+ {"current_steps": 120, "total_steps": 225, "loss": 0.6939, "learning_rate": 5.3108481871574036e-05, "epoch": 2.6666666666666665, "percentage": 53.33, "elapsed_time": "0:07:10", "remaining_time": "0:06:16", "throughput": "0.00", "total_tokens": 0}
61
+ {"current_steps": 122, "total_steps": 225, "loss": 0.6981, "learning_rate": 5.155499311349185e-05, "epoch": 2.7111111111111112, "percentage": 54.22, "elapsed_time": "0:07:17", "remaining_time": "0:06:09", "throughput": "0.00", "total_tokens": 0}
62
+ {"current_steps": 124, "total_steps": 225, "loss": 0.6733, "learning_rate": 5e-05, "epoch": 2.7555555555555555, "percentage": 55.11, "elapsed_time": "0:07:23", "remaining_time": "0:06:01", "throughput": "0.00", "total_tokens": 0}
63
+ {"current_steps": 126, "total_steps": 225, "loss": 0.6851, "learning_rate": 4.844500688650816e-05, "epoch": 2.8, "percentage": 56.0, "elapsed_time": "0:07:30", "remaining_time": "0:05:53", "throughput": "0.00", "total_tokens": 0}
64
+ {"current_steps": 128, "total_steps": 225, "loss": 0.654, "learning_rate": 4.6891518128425976e-05, "epoch": 2.8444444444444446, "percentage": 56.89, "elapsed_time": "0:07:37", "remaining_time": "0:05:46", "throughput": "0.00", "total_tokens": 0}
65
+ {"current_steps": 130, "total_steps": 225, "loss": 0.6303, "learning_rate": 4.534103662579642e-05, "epoch": 2.888888888888889, "percentage": 57.78, "elapsed_time": "0:07:45", "remaining_time": "0:05:40", "throughput": "0.00", "total_tokens": 0}
66
+ {"current_steps": 132, "total_steps": 225, "loss": 0.5819, "learning_rate": 4.3795062369337034e-05, "epoch": 2.9333333333333336, "percentage": 58.67, "elapsed_time": "0:07:52", "remaining_time": "0:05:32", "throughput": "0.00", "total_tokens": 0}
67
+ {"current_steps": 134, "total_steps": 225, "loss": 0.6726, "learning_rate": 4.2255090989295764e-05, "epoch": 2.977777777777778, "percentage": 59.56, "elapsed_time": "0:07:59", "remaining_time": "0:05:25", "throughput": "0.00", "total_tokens": 0}
68
+ {"current_steps": 136, "total_steps": 225, "loss": 0.6621, "learning_rate": 4.0722612308525335e-05, "epoch": 3.022222222222222, "percentage": 60.44, "elapsed_time": "0:08:08", "remaining_time": "0:05:19", "throughput": "0.00", "total_tokens": 0}
69
+ {"current_steps": 138, "total_steps": 225, "loss": 0.5295, "learning_rate": 3.919910890117584e-05, "epoch": 3.066666666666667, "percentage": 61.33, "elapsed_time": "0:08:15", "remaining_time": "0:05:12", "throughput": "0.00", "total_tokens": 0}
70
+ {"current_steps": 140, "total_steps": 225, "loss": 0.5466, "learning_rate": 3.7686054658399935e-05, "epoch": 3.111111111111111, "percentage": 62.22, "elapsed_time": "0:08:22", "remaining_time": "0:05:05", "throughput": "0.00", "total_tokens": 0}
71
+ {"current_steps": 142, "total_steps": 225, "loss": 0.5419, "learning_rate": 3.618491336245849e-05, "epoch": 3.1555555555555554, "percentage": 63.11, "elapsed_time": "0:08:29", "remaining_time": "0:04:57", "throughput": "0.00", "total_tokens": 0}
72
+ {"current_steps": 144, "total_steps": 225, "loss": 0.6171, "learning_rate": 3.469713727060564e-05, "epoch": 3.2, "percentage": 64.0, "elapsed_time": "0:08:35", "remaining_time": "0:04:50", "throughput": "0.00", "total_tokens": 0}
73
+ {"current_steps": 146, "total_steps": 225, "loss": 0.5628, "learning_rate": 3.3224165710123756e-05, "epoch": 3.2444444444444445, "percentage": 64.89, "elapsed_time": "0:08:42", "remaining_time": "0:04:42", "throughput": "0.00", "total_tokens": 0}
74
+ {"current_steps": 148, "total_steps": 225, "loss": 0.5923, "learning_rate": 3.176742368586725e-05, "epoch": 3.2888888888888888, "percentage": 65.78, "elapsed_time": "0:08:49", "remaining_time": "0:04:35", "throughput": "0.00", "total_tokens": 0}
75
+ {"current_steps": 150, "total_steps": 225, "loss": 0.5308, "learning_rate": 3.032832050166239e-05, "epoch": 3.3333333333333335, "percentage": 66.67, "elapsed_time": "0:08:56", "remaining_time": "0:04:28", "throughput": "0.00", "total_tokens": 0}
76
+ {"current_steps": 152, "total_steps": 225, "loss": 0.6444, "learning_rate": 2.890824839689689e-05, "epoch": 3.3777777777777778, "percentage": 67.56, "elapsed_time": "0:09:03", "remaining_time": "0:04:20", "throughput": "0.00", "total_tokens": 0}
77
+ {"current_steps": 154, "total_steps": 225, "loss": 0.6573, "learning_rate": 2.750858119961821e-05, "epoch": 3.422222222222222, "percentage": 68.44, "elapsed_time": "0:09:09", "remaining_time": "0:04:13", "throughput": "0.00", "total_tokens": 0}
78
+ {"current_steps": 156, "total_steps": 225, "loss": 0.582, "learning_rate": 2.613067299744364e-05, "epoch": 3.466666666666667, "percentage": 69.33, "elapsed_time": "0:09:17", "remaining_time": "0:04:06", "throughput": "0.00", "total_tokens": 0}
79
+ {"current_steps": 158, "total_steps": 225, "loss": 0.6335, "learning_rate": 2.4775856827568016e-05, "epoch": 3.511111111111111, "percentage": 70.22, "elapsed_time": "0:09:24", "remaining_time": "0:03:59", "throughput": "0.00", "total_tokens": 0}
80
+ {"current_steps": 160, "total_steps": 225, "loss": 0.508, "learning_rate": 2.3445443387136244e-05, "epoch": 3.5555555555555554, "percentage": 71.11, "elapsed_time": "0:09:31", "remaining_time": "0:03:52", "throughput": "0.00", "total_tokens": 0}
81
+ {"current_steps": 162, "total_steps": 225, "loss": 0.5991, "learning_rate": 2.2140719765228584e-05, "epoch": 3.6, "percentage": 72.0, "elapsed_time": "0:09:38", "remaining_time": "0:03:45", "throughput": "0.00", "total_tokens": 0}
82
+ {"current_steps": 164, "total_steps": 225, "loss": 0.5808, "learning_rate": 2.0862948197684955e-05, "epoch": 3.6444444444444444, "percentage": 72.89, "elapsed_time": "0:09:46", "remaining_time": "0:03:38", "throughput": "0.00", "total_tokens": 0}
83
+ {"current_steps": 166, "total_steps": 225, "loss": 0.5703, "learning_rate": 1.961336484597343e-05, "epoch": 3.688888888888889, "percentage": 73.78, "elapsed_time": "0:09:53", "remaining_time": "0:03:30", "throughput": "0.00", "total_tokens": 0}
84
+ {"current_steps": 168, "total_steps": 225, "loss": 0.5002, "learning_rate": 1.8393178601283683e-05, "epoch": 3.7333333333333334, "percentage": 74.67, "elapsed_time": "0:09:59", "remaining_time": "0:03:23", "throughput": "0.00", "total_tokens": 0}
85
+ {"current_steps": 170, "total_steps": 225, "loss": 0.5269, "learning_rate": 1.7203569915003005e-05, "epoch": 3.7777777777777777, "percentage": 75.56, "elapsed_time": "0:10:06", "remaining_time": "0:03:16", "throughput": "0.00", "total_tokens": 0}
86
+ {"current_steps": 172, "total_steps": 225, "loss": 0.4902, "learning_rate": 1.6045689656705716e-05, "epoch": 3.822222222222222, "percentage": 76.44, "elapsed_time": "0:10:14", "remaining_time": "0:03:09", "throughput": "0.00", "total_tokens": 0}
87
+ {"current_steps": 174, "total_steps": 225, "loss": 0.6185, "learning_rate": 1.4920658000761174e-05, "epoch": 3.8666666666666667, "percentage": 77.33, "elapsed_time": "0:10:21", "remaining_time": "0:03:02", "throughput": "0.00", "total_tokens": 0}
88
+ {"current_steps": 176, "total_steps": 225, "loss": 0.537, "learning_rate": 1.3829563342637513e-05, "epoch": 3.911111111111111, "percentage": 78.22, "elapsed_time": "0:10:28", "remaining_time": "0:02:55", "throughput": "0.00", "total_tokens": 0}
89
+ {"current_steps": 178, "total_steps": 225, "loss": 0.5637, "learning_rate": 1.2773461245949247e-05, "epoch": 3.9555555555555557, "percentage": 79.11, "elapsed_time": "0:10:36", "remaining_time": "0:02:47", "throughput": "0.00", "total_tokens": 0}
90
+ {"current_steps": 180, "total_steps": 225, "loss": 0.5124, "learning_rate": 1.1753373421267621e-05, "epoch": 4.0, "percentage": 80.0, "elapsed_time": "0:10:42", "remaining_time": "0:02:40", "throughput": "0.00", "total_tokens": 0}
91
+ {"current_steps": 182, "total_steps": 225, "loss": 0.5488, "learning_rate": 1.0770286737681701e-05, "epoch": 4.044444444444444, "percentage": 80.89, "elapsed_time": "0:10:51", "remaining_time": "0:02:33", "throughput": "0.00", "total_tokens": 0}
92
+ {"current_steps": 184, "total_steps": 225, "loss": 0.4998, "learning_rate": 9.825152268066213e-06, "epoch": 4.088888888888889, "percentage": 81.78, "elapsed_time": "0:11:01", "remaining_time": "0:02:27", "throughput": "0.00", "total_tokens": 0}
93
+ {"current_steps": 186, "total_steps": 225, "loss": 0.4892, "learning_rate": 8.91888436897997e-06, "epoch": 4.133333333333334, "percentage": 82.67, "elapsed_time": "0:11:09", "remaining_time": "0:02:20", "throughput": "0.00", "total_tokens": 0}
94
+ {"current_steps": 188, "total_steps": 225, "loss": 0.5365, "learning_rate": 8.052359796084951e-06, "epoch": 4.177777777777778, "percentage": 83.56, "elapsed_time": "0:11:16", "remaining_time": "0:02:13", "throughput": "0.00", "total_tokens": 0}
95
+ {"current_steps": 190, "total_steps": 225, "loss": 0.4963, "learning_rate": 7.226416855941814e-06, "epoch": 4.222222222222222, "percentage": 84.44, "elapsed_time": "0:11:22", "remaining_time": "0:02:05", "throughput": "0.00", "total_tokens": 0}
96
+ {"current_steps": 192, "total_steps": 225, "loss": 0.5367, "learning_rate": 6.441854595002477e-06, "epoch": 4.266666666666667, "percentage": 85.33, "elapsed_time": "0:11:28", "remaining_time": "0:01:58", "throughput": "0.00", "total_tokens": 0}
97
+ {"current_steps": 194, "total_steps": 225, "loss": 0.5051, "learning_rate": 5.699432026584267e-06, "epoch": 4.311111111111111, "percentage": 86.22, "elapsed_time": "0:11:35", "remaining_time": "0:01:51", "throughput": "0.00", "total_tokens": 0}
98
+ {"current_steps": 196, "total_steps": 225, "loss": 0.5326, "learning_rate": 4.999867396573499e-06, "epoch": 4.355555555555555, "percentage": 87.11, "elapsed_time": "0:11:42", "remaining_time": "0:01:43", "throughput": "0.00", "total_tokens": 0}
99
+ {"current_steps": 198, "total_steps": 225, "loss": 0.4549, "learning_rate": 4.343837488569058e-06, "epoch": 4.4, "percentage": 88.0, "elapsed_time": "0:11:51", "remaining_time": "0:01:37", "throughput": "0.00", "total_tokens": 0}
100
+ {"current_steps": 200, "total_steps": 225, "loss": 0.4968, "learning_rate": 3.731976969137929e-06, "epoch": 4.444444444444445, "percentage": 88.89, "elapsed_time": "0:11:57", "remaining_time": "0:01:29", "throughput": "0.00", "total_tokens": 0}
101
+ {"current_steps": 202, "total_steps": 225, "loss": 0.4623, "learning_rate": 3.1648777738162494e-06, "epoch": 4.488888888888889, "percentage": 89.78, "elapsed_time": "0:12:05", "remaining_time": "0:01:22", "throughput": "0.00", "total_tokens": 0}
102
+ {"current_steps": 204, "total_steps": 225, "loss": 0.4445, "learning_rate": 2.6430885344499946e-06, "epoch": 4.533333333333333, "percentage": 90.67, "elapsed_time": "0:12:13", "remaining_time": "0:01:15", "throughput": "0.00", "total_tokens": 0}
103
+ {"current_steps": 206, "total_steps": 225, "loss": 0.4678, "learning_rate": 2.1671140484290142e-06, "epoch": 4.5777777777777775, "percentage": 91.56, "elapsed_time": "0:12:20", "remaining_time": "0:01:08", "throughput": "0.00", "total_tokens": 0}
104
+ {"current_steps": 208, "total_steps": 225, "loss": 0.5377, "learning_rate": 1.7374147903282178e-06, "epoch": 4.622222222222222, "percentage": 92.44, "elapsed_time": "0:12:27", "remaining_time": "0:01:01", "throughput": "0.00", "total_tokens": 0}
105
+ {"current_steps": 210, "total_steps": 225, "loss": 0.5819, "learning_rate": 1.3544064664281265e-06, "epoch": 4.666666666666667, "percentage": 93.33, "elapsed_time": "0:12:33", "remaining_time": "0:00:53", "throughput": "0.00", "total_tokens": 0}
106
+ {"current_steps": 212, "total_steps": 225, "loss": 0.494, "learning_rate": 1.0184596125459135e-06, "epoch": 4.711111111111111, "percentage": 94.22, "elapsed_time": "0:12:41", "remaining_time": "0:00:46", "throughput": "0.00", "total_tokens": 0}
107
+ {"current_steps": 214, "total_steps": 225, "loss": 0.4983, "learning_rate": 7.29899235565934e-07, "epoch": 4.7555555555555555, "percentage": 95.11, "elapsed_time": "0:12:48", "remaining_time": "0:00:39", "throughput": "0.00", "total_tokens": 0}
108
+ {"current_steps": 216, "total_steps": 225, "loss": 0.5186, "learning_rate": 4.890044990165321e-07, "epoch": 4.8, "percentage": 96.0, "elapsed_time": "0:12:54", "remaining_time": "0:00:32", "throughput": "0.00", "total_tokens": 0}
109
+ {"current_steps": 218, "total_steps": 225, "loss": 0.5044, "learning_rate": 2.9600845299737056e-07, "epoch": 4.844444444444444, "percentage": 96.89, "elapsed_time": "0:13:01", "remaining_time": "0:00:25", "throughput": "0.00", "total_tokens": 0}
110
+ {"current_steps": 220, "total_steps": 225, "loss": 0.5062, "learning_rate": 1.5109780871853663e-07, "epoch": 4.888888888888889, "percentage": 97.78, "elapsed_time": "0:13:08", "remaining_time": "0:00:17", "throughput": "0.00", "total_tokens": 0}
111
+ {"current_steps": 222, "total_steps": 225, "loss": 0.5391, "learning_rate": 5.4412757869459763e-08, "epoch": 4.933333333333334, "percentage": 98.67, "elapsed_time": "0:13:15", "remaining_time": "0:00:10", "throughput": "0.00", "total_tokens": 0}
112
+ {"current_steps": 224, "total_steps": 225, "loss": 0.5243, "learning_rate": 6.04683699252373e-09, "epoch": 4.977777777777778, "percentage": 99.56, "elapsed_time": "0:13:23", "remaining_time": "0:00:03", "throughput": "0.00", "total_tokens": 0}
113
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