deuswoof commited on
Commit
7a1b6a5
1 Parent(s): 76ab2fc

Training in progress, step 10

Browse files
24_10_23_config_test_5.csv CHANGED
@@ -3,7 +3,7 @@ run_number,comment,peformed_already,num_train_epochs,max_tokens,temperature,stop
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  2,num_train_epochs set 1,True,1,100,0.8,False
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  3,num_train_epochs set 4,True,4,100,0.8,False
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  4,temperature set 0.1,True,2,100,0.1,False
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- 5,temperature set 0.5,False,2,100,0.5,False
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  6,temperature set 0.95,False,2,100,0.95,False
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  7,max_tokens set 10,False,2,10,0.8,False
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  8,max_tokens set 30,False,2,30,0.8,False
 
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  2,num_train_epochs set 1,True,1,100,0.8,False
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  3,num_train_epochs set 4,True,4,100,0.8,False
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  4,temperature set 0.1,True,2,100,0.1,False
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+ 5,temperature set 0.5,True,2,100,0.5,False
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  6,temperature set 0.95,False,2,100,0.95,False
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  7,max_tokens set 10,False,2,10,0.8,False
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  8,max_tokens set 30,False,2,30,0.8,False
24_10_23_results_real.csv CHANGED
@@ -5,4 +5,5 @@ run_number,items_per_minute,changed_settings,total_time_taken,rouge_scores_unnes
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  4,1522.2178865206856,num_train_epochs set 1,17.343115091323853,0,0.2376625242385059,0.3023553491885417,0.2466419847811962,0.2778790955613333,0.3401289752720904,0.2821571102236015,0.3180027377972204,0.3798165334049617,0.3179549121145006,0.0837484346025289,0.0937113595049826,0.0827357329003541,0.1063890214298248,0.1180185594384271,0.1035788259198791,0.1323456462690016,0.1424547541923625,0.1257800923415455
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  5,1518.6126627544304,num_train_epochs set 4,17.38428807258606,0,0.204501142924171,0.2631263501640951,0.216296517806529,0.2438945463294087,0.3035055536430592,0.2535604474093736,0.284314980672076,0.3439781569199127,0.2897906500879131,0.068449643154325,0.0784628470108706,0.0694609697778577,0.0902097337430753,0.1011023693641125,0.0899452487768021,0.113679310178906,0.1256319688818133,0.110997966723548
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  6,1527.832714984196,temperature set 0.1,17.279378652572632,0,0.1976528832961626,0.2467135274850016,0.2058575375878128,0.2409779467117316,0.2882065660284059,0.2442224680649742,0.2898388010112335,0.3293633439583997,0.286402550490794,0.0718838497030716,0.0803139894900771,0.0722726446083685,0.0995882205581848,0.1065136908080851,0.0965880380354894,0.1279108884546315,0.136023948720788,0.1229532335611118
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  4,1522.2178865206856,num_train_epochs set 1,17.343115091323853,0,0.2376625242385059,0.3023553491885417,0.2466419847811962,0.2778790955613333,0.3401289752720904,0.2821571102236015,0.3180027377972204,0.3798165334049617,0.3179549121145006,0.0837484346025289,0.0937113595049826,0.0827357329003541,0.1063890214298248,0.1180185594384271,0.1035788259198791,0.1323456462690016,0.1424547541923625,0.1257800923415455
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  5,1518.6126627544304,num_train_epochs set 4,17.38428807258606,0,0.204501142924171,0.2631263501640951,0.216296517806529,0.2438945463294087,0.3035055536430592,0.2535604474093736,0.284314980672076,0.3439781569199127,0.2897906500879131,0.068449643154325,0.0784628470108706,0.0694609697778577,0.0902097337430753,0.1011023693641125,0.0899452487768021,0.113679310178906,0.1256319688818133,0.110997966723548
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  6,1527.832714984196,temperature set 0.1,17.279378652572632,0,0.1976528832961626,0.2467135274850016,0.2058575375878128,0.2409779467117316,0.2882065660284059,0.2442224680649742,0.2898388010112335,0.3293633439583997,0.286402550490794,0.0718838497030716,0.0803139894900771,0.0722726446083685,0.0995882205581848,0.1065136908080851,0.0965880380354894,0.1279108884546315,0.136023948720788,0.1229532335611118
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+ 7,1520.1783121784651,temperature set 0.5,17.36638379096985,0,0.2171684144819638,0.2796526632931748,0.229555721072754,0.2657758702124259,0.325561701915657,0.2741816672483476,0.3124402945667981,0.3742653583799557,0.3180416119348384,0.084309129128651,0.0950885066931036,0.0841922348430965,0.1097482578115943,0.1216660656915193,0.1094137741028614,0.1394859462287843,0.1521687324132882,0.1369193067464648
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+ 8,0.0,0,0.0,0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
README.md CHANGED
@@ -496,6 +496,18 @@ The following `bitsandbytes` quantization config was used during training:
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  - bnb_4bit_use_double_quant: True
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  - bnb_4bit_compute_dtype: bfloat16
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  The following `bitsandbytes` quantization config was used during training:
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  - quant_method: bitsandbytes
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  - load_in_8bit: False
@@ -550,5 +562,6 @@ The following `bitsandbytes` quantization config was used during training:
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  - PEFT 0.5.0
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  - PEFT 0.5.0
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  - PEFT 0.5.0
 
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  - PEFT 0.5.0
 
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  - bnb_4bit_use_double_quant: True
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  - bnb_4bit_compute_dtype: bfloat16
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: True
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+ - bnb_4bit_compute_dtype: bfloat16
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+
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  The following `bitsandbytes` quantization config was used during training:
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  - quant_method: bitsandbytes
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  - load_in_8bit: False
 
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  - PEFT 0.5.0
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  - PEFT 0.5.0
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  - PEFT 0.5.0
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+ - PEFT 0.5.0
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  - PEFT 0.5.0
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