Training in progress, step 10

25_10_23_config_test_3.csv

@@ -0,0 +1,8 @@
+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
+2,lemmatization set True,False,2,100,0.8,False,False,False,True
+3,stemming set True,False,2,100,0.8,False,False,True,False
+4,classification_of_valuems set True,False,2,100,0.8,False,True,False,False
+5,lemmatization set True    stemming set True    classification_of_valuems set True,False,2,100,0.8,False,True,True,True
+6,lemmatization set True    classification_of_valuems set True,False,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

25_10_23_results_real_1.csv

@@ -31,4 +31,4 @@ classification_of_valuems set True",20.55314040184021,0,0.0214299271266734,0.032
 stemming set True
 classification_of_valuems set True",29.53177309036255,0,0.0198469239279936,0.0259817116141352,0.0213430019398334,0.0289868657485789,0.0394450508626284,0.0308283988125781,0.0387057818116391,0.0563613255452064,0.0412743876629069,0.0023191133516241,0.0035262639417618,0.0026788789101704,0.0059363771603539,0.009667223107856,0.0068992474882522,0.0108012824018626,0.0183868709697907,0.0124010172661231,0.25,0.25,0.25
 27,0.0,0,0.0,0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-28,0.0,0,0.0,0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+28,1513.510999686485,no variations,17.442886114120483,0,0.2304200812619715,0.2802716481928804,0.2380130314409673,0.2751350231944529,0.3156470566432773,0.2752981663018682,0.3214566715059123,0.3551174721289881,0.3166235943285683,0.0878739353769647,0.0865994538526911,0.0838676015484247,0.1141785741241325,0.1100943210071629,0.1068031729472273,0.1421830338382975,0.1347031023991125,0.1326758730828171,0.5,0.5,0.5

25_10_23_results_real_2.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
+1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0

README.md

@@ -712,6 +712,18 @@ 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
@@ -784,5 +796,6 @@ 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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:48458d12acaf19186458cebd42f16601f33238443872049d6b8cfb9b17cef0c4
+oid sha256:694e28bef1367cbb6cebfbc6a53af7f494b6057481dc041d166e0ab56089874f
 size 100733709

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b3bf012bf5299471e31d6294748efd8a946e7bb9131064ff26c1d9057ff553b
+oid sha256:eaa5b373a447766c8ae809d0e4bc892dbab990c48180f40a4f9fec29f94fd1ae
 size 100690288

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8056abb5bc119ab9859e0e9fc5ebf30b109fc7b9c6310ce476ab175e3f1b7914
+oid sha256:e1e60b9bc95167a4476f9789e703c72923edffbe10e599d7636464152a3b36ea
 size 4283