Training in progress, step 10
Browse files- 26_10_23_config_test.csv +2 -1
- 26_10_23_results_real_3.csv +1 -1
- 26_10_23_results_test.csv +1 -0
- README.md +13 -0
- adapter_model.bin +1 -1
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
26_10_23_config_test.csv
CHANGED
@@ -1,3 +1,4 @@
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1 |
run_number,comment,peformed_already,num_train_epochs,max_tokens,temperature,stop_token,classification_of_valuems,stemming,lemmatization
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2 |
1,no variations,True,2,100,0.8,False,False,False,False
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3 |
-
2,classification_of_valuems set False,
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1 |
run_number,comment,peformed_already,num_train_epochs,max_tokens,temperature,stop_token,classification_of_valuems,stemming,lemmatization
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2 |
1,no variations,True,2,100,0.8,False,False,False,False
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3 |
+
2,classification_of_valuems set False,True,2,100,0.8,False,False,False,False
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4 |
+
3,classification_of_valuems set True,False,2,100,0.8,False,True,False,False
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26_10_23_results_real_3.csv
CHANGED
@@ -5,4 +5,4 @@ run_number,items_per_minute,changed_settings,total_time_taken,rouge_scores_unnes
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5 |
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
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6 |
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
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7 |
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
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-
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5 |
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
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6 |
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
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7 |
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
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8 |
+
5,1537.4830854419854,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
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26_10_23_results_test.csv
CHANGED
@@ -2,4 +2,5 @@ run_number,items_per_minute,changed_settings,total_time_taken,rouge_scores_unnes
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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
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3 |
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
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4 |
0,1525.1505741778146,no variations,17.30976629257202,0,0.1944833026292195,0.2608866277179161,0.212506973427488,0.231774299851333,0.2992392908143453,0.2475690501161298,0.2685696129851041,0.3381393563030371,0.2834733235474062,0.0626355093279982,0.0747762221568468,0.0659507681155903,0.0809426639328388,0.095104133215893,0.0838846169340258,0.1020442556026316,0.1176611208472423,0.1049781579164324,0.25,0.25,0.25
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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
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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
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3 |
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
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4 |
0,1525.1505741778146,no variations,17.30976629257202,0,0.1944833026292195,0.2608866277179161,0.212506973427488,0.231774299851333,0.2992392908143453,0.2475690501161298,0.2685696129851041,0.3381393563030371,0.2834733235474062,0.0626355093279982,0.0747762221568468,0.0659507681155903,0.0809426639328388,0.095104133215893,0.0838846169340258,0.1020442556026316,0.1176611208472423,0.1049781579164324,0.25,0.25,0.25
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5 |
+
0,1530.6754535724783,classification_of_valuems set False,17.24728775024414,0,0.1879037713120736,0.26635175665791,0.2078759379737942,0.2222338778469523,0.3043392990970662,0.2431796544443196,0.2609053363276057,0.3407001064027443,0.279022600280195,0.0533387192230296,0.0671362617022624,0.0569484513346216,0.0750485080925462,0.0895702760568634,0.07749395882536,0.0997334960237815,0.1124839882732962,0.1007905792170695,0.5,0.5,0.5
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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
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README.md
CHANGED
@@ -904,6 +904,18 @@ 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
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@@ -992,5 +1004,6 @@ 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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1004 |
- 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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adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
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size 100733709
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size 100733709
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adapter_model.safetensors
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size 100690288
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training_args.bin
CHANGED
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oid sha256:
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