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config.json

@@ -0,0 +1,59 @@
+{
+  "add_cross_attention": false,
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10",
+    "11": "LABEL_11"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "is_decoder": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_10": 10,
+    "LABEL_11": 11,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

eval_results.txt

@@ -0,0 +1,190 @@
+evaluate 0
+acc = 0.6891246684350133
+acc_and_f1_macro = 0.6334905949921364
+acc_and_f1_weighted = 0.6756927166539615
+class_f1 = [np.float64(nan), np.float64(0.6070038910505835), np.float64(0.7111111111111112), np.float64(0.023668639053254437), np.float64(0.5491651205936919), np.float64(0.5770491803278688), np.float64(0.9192546583850932), np.float64(0.8854166666666667), np.float64(0.9293193717277487), np.float64(0.5765765765765766)]
+class_p = [np.float64(nan), np.float64(0.5165562913907285), np.float64(0.9032258064516129), np.float64(0.3333333333333333), np.float64(0.49169435215946844), np.float64(0.5086705202312138), np.float64(0.9135802469135802), np.float64(0.8673469387755102), np.float64(0.9466666666666667), np.float64(0.4383561643835616)]
+class_r = [np.float64(0.0), np.float64(0.7358490566037735), np.float64(0.5863874345549738), np.float64(0.012269938650306749), np.float64(0.6218487394957983), np.float64(0.6666666666666666), np.float64(0.925), np.float64(0.9042553191489362), np.float64(0.9125964010282777), np.float64(0.8421052631578947)]
+confusion_matrix = [[  0  10   0   0   2  29   0   0   0   1]
+ [  0 156   8   0  10  30   0   0   0   8]
+ [  0  65 112   0   6   4   0   0   0   4]
+ [  0  19   0   2  83  55   0   0   0   4]
+ [  0  22   2   2 148  49   0   0   0  15]
+ [  0  28   2   2  47 176   0   0   0   9]
+ [  0   0   0   0   0   0 148   6   6   0]
+ [  0   0   0   0   0   0   4 170  14   0]
+ [  0   0   0   0   2   2  10  20 355   0]
+ [  0   2   0   0   3   1   0   0   0  32]]
+f1_macro = 0.5778565215492596
+f1_weighted = 0.6622607648729097
+evaluate 1
+acc = 0.7480106100795756
+acc_and_f1_macro = 0.7075732467155612
+acc_and_f1_weighted = 0.7450751936656139
+class_f1 = [np.float64(nan), np.float64(0.7281105990783409), np.float64(0.7857142857142857), np.float64(0.5168539325842696), np.float64(0.6150234741784038), np.float64(0.6467486818980668), np.float64(0.9113924050632911), np.float64(0.8550368550368551), np.float64(0.9267643142476697), np.float64(0.6857142857142856)]
+class_p = [np.float64(nan), np.float64(0.7117117117117117), np.float64(0.8265895953757225), np.float64(0.47668393782383417), np.float64(0.6968085106382979), np.float64(0.6032786885245902), np.float64(0.9230769230769231), np.float64(0.7945205479452054), np.float64(0.9613259668508287), np.float64(0.5373134328358209)]
+class_r = [np.float64(0.0), np.float64(0.7452830188679245), np.float64(0.7486910994764397), np.float64(0.5644171779141104), np.float64(0.5504201680672269), np.float64(0.696969696969697), np.float64(0.9), np.float64(0.925531914893617), np.float64(0.8946015424164524), np.float64(0.9473684210526315)]
+confusion_matrix = [[  0   4   0  18   0  20   0   0   0   0]
+ [  0 158  16   4  10  24   0   0   0   0]
+ [  0  33 143   2   7   4   0   0   0   2]
+ [  0   5   8  92  26  28   0   0   0   4]
+ [  0  16   2  35 131  44   0   0   0  10]
+ [  0   6   4  41  14 184   0   0   0  15]
+ [  0   0   0   0   0   0 144  12   4   0]
+ [  0   0   0   0   0   0   4 174  10   0]
+ [  0   0   0   0   0   0   8  33 348   0]
+ [  0   0   0   1   0   1   0   0   0  36]]
+f1_macro = 0.6671358833515468
+f1_weighted = 0.7421397772516521
+evaluate 2
+acc = 0.7305039787798409
+acc_and_f1_macro = 0.7050249560062639
+acc_and_f1_weighted = 0.7287820591439015
+class_f1 = [np.float64(0.13793103448275862), np.float64(0.6650602409638554), np.float64(0.7570332480818416), np.float64(0.49221183800623053), np.float64(0.5862068965517242), np.float64(0.5836575875486382), np.float64(0.9135802469135802), np.float64(0.8756756756756756), np.float64(0.9307692307692307), np.float64(0.8533333333333334)]
+class_p = [np.float64(0.25), np.float64(0.6798029556650246), np.float64(0.74), np.float64(0.5), np.float64(0.5387323943661971), np.float64(0.6), np.float64(0.9024390243902439), np.float64(0.8901098901098901), np.float64(0.928388746803069), np.float64(0.8648648648648649)]
+class_r = [np.float64(0.09523809523809523), np.float64(0.6509433962264151), np.float64(0.774869109947644), np.float64(0.48466257668711654), np.float64(0.6428571428571429), np.float64(0.5681818181818182), np.float64(0.925), np.float64(0.8617021276595744), np.float64(0.9331619537275064), np.float64(0.8421052631578947)]
+confusion_matrix = [[  4   4   2  12   8  12   0   0   0   0]
+ [  4 138  36   0  22  12   0   0   0   0]
+ [  0  29 148   2   4   8   0   0   0   0]
+ [  2   8   8  79  35  29   0   0   0   2]
+ [  2  12   2  30 153  37   0   0   0   2]
+ [  4  11   4  34  60 150   0   0   0   1]
+ [  0   0   0   0   0   0 148   8   4   0]
+ [  0   0   0   0   0   0   2 162  24   0]
+ [  0   0   0   0   0   0  14  12 363   0]
+ [  0   1   0   1   2   2   0   0   0  32]]
+f1_macro = 0.679545933232687
+f1_weighted = 0.7270601395079621
+evaluate 3
+acc = 0.7336870026525198
+acc_and_f1_macro = 0.7098841287434561
+acc_and_f1_weighted = 0.7313466077268491
+class_f1 = [np.float64(0.2898550724637681), np.float64(0.7109004739336493), np.float64(0.8010610079575596), np.float64(0.416), np.float64(0.5510597302504817), np.float64(0.5884413309982487), np.float64(0.9308176100628932), np.float64(0.8681318681318682), np.float64(0.9318181818181819), np.float64(0.7727272727272727)]
+class_p = [np.float64(0.37037037037037035), np.float64(0.7142857142857143), np.float64(0.8118279569892473), np.float64(0.5977011494252874), np.float64(0.5088967971530249), np.float64(0.5472312703583062), np.float64(0.9367088607594937), np.float64(0.8977272727272727), np.float64(0.9156327543424317), np.float64(0.68)]
+class_r = [np.float64(0.23809523809523808), np.float64(0.7075471698113207), np.float64(0.7905759162303665), np.float64(0.31901840490797545), np.float64(0.6008403361344538), np.float64(0.6363636363636364), np.float64(0.925), np.float64(0.8404255319148937), np.float64(0.9485861182519281), np.float64(0.8947368421052632)]
+confusion_matrix = [[ 10   2   0   2   4  24   0   0   0   0]
+ [  4 150  22   2  14  20   0   0   0   0]
+ [  0  27 151   0   7   4   0   0   0   2]
+ [  5   6   7  52  50  39   0   0   0   4]
+ [  4  14   4  15 143  50   0   0   0   8]
+ [  4  11   2  16  61 168   0   0   0   2]
+ [  0   0   0   0   0   0 148   6   6   0]
+ [  0   0   0   0   0   0   2 158  28   0]
+ [  0   0   0   0   0   0   8  12 369   0]
+ [  0   0   0   0   2   2   0   0   0  34]]
+f1_macro = 0.6860812548343923
+f1_weighted = 0.7290062128011783
+evaluate 4
+acc = 0.736870026525199
+acc_and_f1_macro = 0.7133907423644683
+acc_and_f1_weighted = 0.7340449446819173
+class_f1 = [np.float64(0.30303030303030304), np.float64(0.722466960352423), np.float64(0.7843137254901961), np.float64(0.4126984126984127), np.float64(0.5469387755102041), np.float64(0.6061643835616437), np.float64(0.925925925925926), np.float64(0.8663101604278075), np.float64(0.9355670103092784), np.float64(0.7956989247311828)]
+class_p = [np.float64(0.4166666666666667), np.float64(0.6776859504132231), np.float64(0.8433734939759037), np.float64(0.5842696629213483), np.float64(0.5317460317460317), np.float64(0.553125), np.float64(0.9146341463414634), np.float64(0.8709677419354839), np.float64(0.937984496124031), np.float64(0.6727272727272727)]
+class_r = [np.float64(0.23809523809523808), np.float64(0.7735849056603774), np.float64(0.7329842931937173), np.float64(0.31901840490797545), np.float64(0.5630252100840336), np.float64(0.6704545454545454), np.float64(0.9375), np.float64(0.8617021276595744), np.float64(0.9331619537275064), np.float64(0.9736842105263158)]
+confusion_matrix = [[ 10   2   0   0   6  24   0   0   0   0]
+ [  2 164  12   0  10  24   0   0   0   0]
+ [  0  37 140   0   6   6   0   0   0   2]
+ [  4  11   8  52  51  32   0   0   0   5]
+ [  2  14   4  21 134  57   0   0   0   6]
+ [  6  14   2  16  44 177   0   0   0   5]
+ [  0   0   0   0   0   0 150   8   2   0]
+ [  0   0   0   0   0   0   4 162  22   0]
+ [  0   0   0   0   0   0  10  16 363   0]
+ [  0   0   0   0   1   0   0   0   0  37]]
+f1_macro = 0.6899114582037378
+f1_weighted = 0.7312198628386355
+evaluate 5
+acc = 0.736870026525199
+acc_and_f1_macro = 0.7161707259870482
+acc_and_f1_weighted = 0.7354812627355416
+class_f1 = [np.float64(0.4), np.float64(0.7264150943396227), np.float64(0.7903225806451613), np.float64(0.45692883895131087), np.float64(0.5497076023391811), np.float64(0.5776965265082266), np.float64(0.925925925925926), np.float64(0.870967741935484), np.float64(0.9383033419023136), np.float64(0.7184466019417477)]
+class_p = [np.float64(0.5), np.float64(0.7264150943396226), np.float64(0.8121546961325967), np.float64(0.5865384615384616), np.float64(0.5127272727272727), np.float64(0.558303886925795), np.float64(0.9146341463414634), np.float64(0.8804347826086957), np.float64(0.9383033419023136), np.float64(0.5692307692307692)]
+class_r = [np.float64(0.3333333333333333), np.float64(0.7264150943396226), np.float64(0.7696335078534031), np.float64(0.37423312883435583), np.float64(0.592436974789916), np.float64(0.5984848484848485), np.float64(0.9375), np.float64(0.8617021276595744), np.float64(0.9383033419023136), np.float64(0.9736842105263158)]
+confusion_matrix = [[ 14   0   2   2   5  19   0   0   0   0]
+ [  2 154  18   0  12  26   0   0   0   0]
+ [  0  33 147   0   5   4   0   0   0   2]
+ [  4   7   8  61  53  26   0   0   0   4]
+ [  2  10   4  23 141  50   0   0   0   8]
+ [  6   8   2  18  58 158   0   0   0  14]
+ [  0   0   0   0   0   0 150   8   2   0]
+ [  0   0   0   0   0   0   4 162  22   0]
+ [  0   0   0   0   0   0  10  14 365   0]
+ [  0   0   0   0   1   0   0   0   0  37]]
+f1_macro = 0.6954714254488974
+f1_weighted = 0.7340924989458844
+evaluate 6
+acc = 0.7400530503978779
+acc_and_f1_macro = 0.7194814775633938
+acc_and_f1_weighted = 0.7381404877009761
+class_f1 = [np.float64(0.37681159420289856), np.float64(0.7247706422018348), np.float64(0.8032786885245902), np.float64(0.4274809160305344), np.float64(0.5483234714003945), np.float64(0.6074600355239785), np.float64(0.920245398773006), np.float64(0.870967741935484), np.float64(0.9355670103092784), np.float64(0.7741935483870966)]
+class_p = [np.float64(0.48148148148148145), np.float64(0.7053571428571429), np.float64(0.84), np.float64(0.5656565656565656), np.float64(0.516728624535316), np.float64(0.5719063545150501), np.float64(0.9036144578313253), np.float64(0.8804347826086957), np.float64(0.937984496124031), np.float64(0.6545454545454545)]
+class_r = [np.float64(0.30952380952380953), np.float64(0.7452830188679245), np.float64(0.7696335078534031), np.float64(0.34355828220858897), np.float64(0.5840336134453782), np.float64(0.6477272727272727), np.float64(0.9375), np.float64(0.8617021276595744), np.float64(0.9331619537275064), np.float64(0.9473684210526315)]
+confusion_matrix = [[ 13   2   0   2   5  20   0   0   0   0]
+ [  2 158  14   0  12  26   0   0   0   0]
+ [  0  33 147   0   5   4   0   0   0   2]
+ [  4   8   8  56  54  29   0   0   0   4]
+ [  2  12   4  25 139  48   0   0   0   8]
+ [  6  11   2  16  53 171   0   0   0   5]
+ [  0   0   0   0   0   0 150   8   2   0]
+ [  0   0   0   0   0   0   4 162  22   0]
+ [  0   0   0   0   0   0  12  14 363   0]
+ [  0   0   0   0   1   1   0   0   0  36]]
+f1_macro = 0.6989099047289097
+f1_weighted = 0.7362279250040741
+evaluate 7
+acc = 0.7400530503978779
+acc_and_f1_macro = 0.719712348383416
+acc_and_f1_weighted = 0.7383193385351758
+class_f1 = [np.float64(0.37681159420289856), np.float64(0.7205542725173211), np.float64(0.7989130434782609), np.float64(0.43609022556390975), np.float64(0.5504950495049505), np.float64(0.6014234875444839), np.float64(0.920245398773006), np.float64(0.877005347593583), np.float64(0.937984496124031), np.float64(0.7741935483870966)]
+class_p = [np.float64(0.48148148148148145), np.float64(0.7058823529411765), np.float64(0.8305084745762712), np.float64(0.5631067961165048), np.float64(0.5205992509363296), np.float64(0.5671140939597316), np.float64(0.9036144578313253), np.float64(0.8817204301075269), np.float64(0.9428571428571428), np.float64(0.6545454545454545)]
+class_r = [np.float64(0.30952380952380953), np.float64(0.7358490566037735), np.float64(0.7696335078534031), np.float64(0.3558282208588957), np.float64(0.5840336134453782), np.float64(0.6401515151515151), np.float64(0.9375), np.float64(0.8723404255319149), np.float64(0.9331619537275064), np.float64(0.9473684210526315)]
+confusion_matrix = [[ 13   2   0   2   5  20   0   0   0   0]
+ [  2 156  16   0  12  26   0   0   0   0]
+ [  0  33 147   0   5   4   0   0   0   2]
+ [  4   7   8  58  52  30   0   0   0   4]
+ [  2  12   4  25 139  48   0   0   0   8]
+ [  6  11   2  18  53 169   0   0   0   5]
+ [  0   0   0   0   0   0 150   8   2   0]
+ [  0   0   0   0   0   0   4 164  20   0]
+ [  0   0   0   0   0   0  12  14 363   0]
+ [  0   0   0   0   1   1   0   0   0  36]]
+f1_macro = 0.6993716463689542
+f1_weighted = 0.7365856266724738
+evaluate 8
+acc = 0.7384615384615385
+acc_and_f1_macro = 0.7183460858337962
+acc_and_f1_weighted = 0.7365981877073211
+class_f1 = [np.float64(0.37681159420289856), np.float64(0.7172413793103449), np.float64(0.7989130434782609), np.float64(0.4242424242424243), np.float64(0.5483234714003945), np.float64(0.5989304812834224), np.float64(0.920245398773006), np.float64(0.877005347593583), np.float64(0.937984496124031), np.float64(0.782608695652174)]
+class_p = [np.float64(0.48148148148148145), np.float64(0.6995515695067265), np.float64(0.8305084745762712), np.float64(0.5544554455445545), np.float64(0.516728624535316), np.float64(0.5656565656565656), np.float64(0.9036144578313253), np.float64(0.8817204301075269), np.float64(0.9428571428571428), np.float64(0.6666666666666666)]
+class_r = [np.float64(0.30952380952380953), np.float64(0.7358490566037735), np.float64(0.7696335078534031), np.float64(0.34355828220858897), np.float64(0.5840336134453782), np.float64(0.6363636363636364), np.float64(0.9375), np.float64(0.8723404255319149), np.float64(0.9331619537275064), np.float64(0.9473684210526315)]
+confusion_matrix = [[ 13   2   0   2   5  20   0   0   0   0]
+ [  2 156  16   0  12  26   0   0   0   0]
+ [  0  33 147   0   5   4   0   0   0   2]
+ [  4   7   8  56  54  30   0   0   0   4]
+ [  2  12   4  25 139  48   0   0   0   8]
+ [  6  13   2  18  53 168   0   0   0   4]
+ [  0   0   0   0   0   0 150   8   2   0]
+ [  0   0   0   0   0   0   4 164  20   0]
+ [  0   0   0   0   0   0  12  14 363   0]
+ [  0   0   0   0   1   1   0   0   0  36]]
+f1_macro = 0.6982306332060538
+f1_weighted = 0.7347348369531037
+evaluate 9
+acc = 0.7395225464190981
+acc_and_f1_macro = 0.7192689346869343
+acc_and_f1_weighted = 0.7376388444885733
+class_f1 = [np.float64(0.37681159420289856), np.float64(0.7172413793103449), np.float64(0.7989130434782609), np.float64(0.4242424242424243), np.float64(0.5540275049115914), np.float64(0.6010733452593918), np.float64(0.920245398773006), np.float64(0.877005347593583), np.float64(0.937984496124031), np.float64(0.782608695652174)]
+class_p = [np.float64(0.48148148148148145), np.float64(0.6995515695067265), np.float64(0.8305084745762712), np.float64(0.5544554455445545), np.float64(0.5202952029520295), np.float64(0.5694915254237288), np.float64(0.9036144578313253), np.float64(0.8817204301075269), np.float64(0.9428571428571428), np.float64(0.6666666666666666)]
+class_r = [np.float64(0.30952380952380953), np.float64(0.7358490566037735), np.float64(0.7696335078534031), np.float64(0.34355828220858897), np.float64(0.592436974789916), np.float64(0.6363636363636364), np.float64(0.9375), np.float64(0.8723404255319149), np.float64(0.9331619537275064), np.float64(0.9473684210526315)]
+confusion_matrix = [[ 13   2   0   2   5  20   0   0   0   0]
+ [  2 156  16   0  12  26   0   0   0   0]
+ [  0  33 147   0   5   4   0   0   0   2]
+ [  4   7   8  56  54  30   0   0   0   4]
+ [  2  12   4  25 141  46   0   0   0   8]
+ [  6  13   2  18  53 168   0   0   0   4]
+ [  0   0   0   0   0   0 150   8   2   0]
+ [  0   0   0   0   0   0   4 164  20   0]
+ [  0   0   0   0   0   0  12  14 363   0]
+ [  0   0   0   0   1   1   0   0   0  36]]
+f1_macro = 0.6990153229547705
+f1_weighted = 0.7357551425580484

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbe9b39d45f0d0572d9b56117df6e5b9cb1975fbeb171e280015236305ade3d2
+size 2239659624

tokenizer_config.json

@@ -0,0 +1,18 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "errors": "replace",
+  "is_local": false,
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:82e21a647ced231b2802fd00e6e84be75bf9d0cdc3aa01f55870a2207cd00ff0
+size 2833