Training in progress, step 10

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
-2,1537.4830854419854,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
+3,1537.4830854419854,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

@@ -1,3 +1,4 @@
 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
 0,1525.78169293058,0,17.302606344223022,0,0.2208788951005069,0.2975883615881153,0.240614991862749,0.2581963155823283,0.3380846243794819,0.2741873775462263,0.2975950054307982,0.3786356612216308,0.3105477853693633,0.0725478275967877,0.0914455107483677,0.076518173971504,0.0912179928867811,0.1126082896323259,0.0948303028773734,0.1141810282401093,0.1365525195957442,0.1172672123671381,0.25,0.25,0.25
+0,1526.9601087665926,0,17.28925323486328,0,0.211648928940661,0.3099076516941764,0.2349623655451098,0.2510485488340126,0.3427790236432527,0.2697717126098345,0.2921795539464257,0.3779250040331974,0.3024802842684405,0.0681760966648744,0.0863483981349806,0.0714061957144911,0.0882483532156721,0.1067406117807395,0.0896180979585989,0.1141695115472147,0.1327745046315235,0.1126574769723024,0.5022742922973714,0.5022742922973714,0.5022742922973714
 0,0.0,0,0.0,0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0

README.md

@@ -880,6 +880,18 @@ 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
@@ -966,5 +978,6 @@ 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:a17a39ec25485849d43ad660370619f36be833bb15ca66b0a6a90e4744fdc694
+oid sha256:51f1cea63b6b926e414c7aec504c6f5869e66e3c5af9380a09e9b425743a738e
 size 100733709

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db1e28149e9746becdb1c643710750a4ee72908f3af18333c607445f94081c2a
+oid sha256:066d0b012cf3f51ec20706e7ec4e23c31e3b6b0c4b12dfc3456cb6d68f013342
 size 100690288

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a15781979b64307a1df6d27cebf74b12d2c77ac242570c1639116378c206592
+oid sha256:3c7cec4233cd9e93442395c1972ccf4fe9a23b1546751ca7e00e90c709a5d126
 size 4283