Training in progress, step 10

26_10_23_config_test.csv

@@ -0,0 +1,2 @@
+run_number,comment,peformed_already,num_train_epochs,max_tokens,temperature,stop_token,classification_of_valuems,stemming,lemmatization
+1,no variations,False,2,100,0.8,False,False,False,False

26_10_23_config_test_3.csv

@@ -5,4 +5,4 @@ run_number,comment,peformed_already,num_train_epochs,max_tokens,temperature,stop
 4,classification_of_valuems set True,True,2,100,0.8,False,True,False,False
 5,lemmatization set True    stemming set True    classification_of_valuems set True,True,2,100,0.8,False,True,True,True
 6,lemmatization set True    classification_of_valuems set True,True,2,100,0.8,False,True,False,True
-7,lemmatization set True    stemming set True    classification_of_valuems set True,False,2,100,0.8,False,True,True,True
+7,lemmatization set True    stemming set True    classification_of_valuems set True,True,2,100,0.8,False,True,True,True

26_10_23_results_real_3.csv

@@ -5,4 +5,4 @@ run_number,items_per_minute,changed_settings,total_time_taken,rouge_scores_unnes
 4,1525.602524101584,classification_of_valuems set True,17.304638385772705,0,0.3449559795118336,0.3423341666457499,0.3223067218438548,0.3962323417858379,0.3934280156800367,0.3705820791169619,0.4480554100301472,0.4472379094634592,0.4191781582462838,0.1924640322240557,0.1864412220397102,0.1791588870738077,0.2322731554369229,0.2249807377601852,0.2130668974234288,0.275524472174082,0.267281230315844,0.2520826707151871,0.25,0.25,0.25
 5,1526.1514943613795,lemmatization set True    stemming set True    classification_of_valuems set True,17.29841375350952,0,0.2740090800292036,0.3255265414032295,0.2775650458916542,0.3242606066397121,0.382074138505741,0.3267769081728278,0.3772870132781871,0.4458722947774239,0.3791647882107381,0.1589738558026723,0.1948121530040918,0.163589425650448,0.197346401556911,0.2400173323974756,0.2012985648757239,0.2417203208425002,0.291225773302693,0.2448890209857868,0.5,0.5,0.5
 6,1530.684509829563,lemmatization set True    classification_of_valuems set True,17.247185707092285,0,0.2089967577635823,0.2539863482828974,0.2180593819184433,0.2566736342083835,0.3067268601430931,0.2634860133658033,0.3083760408920908,0.3641939637052689,0.3143688188949664,0.1022732513904408,0.1231935696888519,0.1061505173202719,0.1366654941744046,0.1619876288426343,0.1387847257382091,0.1783473709510714,0.2101453928900783,0.1797982054917218,0.4999999999999998,0.4999999999999998,0.4999999999999998
-7,0.0,0,0.0,0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+1,1537.4830854419854,lemmatization set True    stemming set True    classification_of_valuems set True,17.170920610427856,0,0.3137446610565907,0.346938031739325,0.3116890258549815,0.36716366175121,0.4078239534610949,0.3658593356405938,0.4216956378639542,0.4672338475399563,0.4174884317080075,0.1868318428239036,0.2090565062942769,0.1872856926409339,0.2333035163819085,0.2570762720696271,0.2307891585347144,0.2805117716175197,0.3026827885812185,0.2738993050878683,0.25,0.25,0.25

26_10_23_results_test.csv

@@ -0,0 +1,2 @@
+run_number,items_per_minute,changed_settings,total_time_taken,rouge_scores_unnest,rouge1 low Precision,rouge1 low Recall,rouge1 low F1 Score,rouge1 mid Precision,rouge1 mid Recall,rouge1 mid F1 Score,rouge1 high Precision,rouge1 high Recall,rouge1 high F1 Score,rouge2 low Precision,rouge2 low Recall,rouge2 low F1 Score,rouge2 mid Precision,rouge2 mid Recall,rouge2 mid F1 Score,rouge2 high Precision,rouge2 high Recall,rouge2 high F1 Score,min_cosine_sim_value,max_cosine_sim_value,mean_cosine_sim_value
+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

@@ -856,6 +856,18 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_use_double_quant: True
 - bnb_4bit_compute_dtype: bfloat16
 
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+
 The following `bitsandbytes` quantization config was used during training:
 - quant_method: bitsandbytes
 - load_in_8bit: False
@@ -940,5 +952,6 @@ The following `bitsandbytes` quantization config was used during training:
 - PEFT 0.5.0
 - PEFT 0.5.0
 - PEFT 0.5.0
+- PEFT 0.5.0
 
 - PEFT 0.5.0

adapter_model.bin

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adapter_model.safetensors

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training_args.bin

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