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checkpoint-best/config.json

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+{
+  "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": 768,
+  "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": 3072,
+  "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": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

checkpoint-best/model.safetensors

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+size 498643560

checkpoint-best/optimizer.pt

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+size 997407371

checkpoint-best/scheduler.pt

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+oid sha256:fad9d3d814422fc24594f9e6de16e4af7ee16238cef70fe96e25680c409c7157
+size 1465

checkpoint-best/training_0.bin

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+size 2751

checkpoint-best/training_1.bin

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checkpoint-best/training_9.bin

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+size 2751

checkpoint-last/config.json

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+{
+  "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": 768,
+  "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": 3072,
+  "is_decoder": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_10": 10,
+    "LABEL_11": 11,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
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+    "LABEL_5": 5,
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+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

checkpoint-last/idx_file.txt

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+9

checkpoint-last/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a140abc72f23acfeee6403f1947d24d20561863739a3f656b9ff4920a8be9e2e
+size 498643560

checkpoint-last/optimizer.pt

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checkpoint-last/scheduler.pt

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+size 1465

checkpoint-last/step_file.txt

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+3660

config.json

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+{
+  "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": 768,
+  "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": 3072,
+  "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": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

eval_results.txt

@@ -0,0 +1,190 @@
+evaluate 0
+acc = 0.7474801061007957
+acc_and_f1_macro = 0.7048938434748613
+acc_and_f1_weighted = 0.739449319460284
+class_f1 = [np.float64(nan), np.float64(0.7238493723849372), np.float64(0.7958656330749354), np.float64(0.3373493975903614), np.float64(0.6004415011037526), np.float64(0.6722689075630252), np.float64(0.9182389937106918), np.float64(0.8677248677248677), np.float64(0.9201030927835051), np.float64(0.7872340425531915)]
+class_p = [np.float64(nan), np.float64(0.650375939849624), np.float64(0.7857142857142857), np.float64(0.4883720930232558), np.float64(0.6325581395348837), np.float64(0.6042296072507553), np.float64(0.9240506329113924), np.float64(0.8631578947368421), np.float64(0.9224806201550387), np.float64(0.6607142857142857)]
+class_r = [np.float64(0.0), np.float64(0.8160377358490566), np.float64(0.806282722513089), np.float64(0.25766871165644173), np.float64(0.5714285714285714), np.float64(0.7575757575757576), np.float64(0.9125), np.float64(0.8723404255319149), np.float64(0.9177377892030848), np.float64(0.9736842105263158)]
+confusion_matrix = [[  0   8   0  12   2  20   0   0   0   0]
+ [  0 173  23   0   2  14   0   0   0   0]
+ [  0  31 154   2   2   0   0   0   0   2]
+ [  0  15   8  42  50  46   0   0   0   2]
+ [  0  22   4  14 136  50   0   0   0  12]
+ [  0  15   7  16  23 200   0   0   0   3]
+ [  0   2   0   0   0   0 146   4   8   0]
+ [  0   0   0   0   0   0   2 164  22   0]
+ [  0   0   0   0   0   0  10  22 357   0]
+ [  0   0   0   0   0   1   0   0   0  37]]
+f1_macro = 0.6623075808489268
+f1_weighted = 0.7314185328197723
+evaluate 1
+acc = 0.7618037135278515
+acc_and_f1_macro = 0.7229381973826235
+acc_and_f1_weighted = 0.7575460583049605
+class_f1 = [np.float64(nan), np.float64(0.7421686746987951), np.float64(0.7999999999999999), np.float64(0.4999999999999999), np.float64(0.5740740740740741), np.float64(0.6946308724832215), np.float64(0.925925925925926), np.float64(0.8844221105527638), np.float64(0.936), np.float64(0.7835051546391751)]
+class_p = [np.float64(nan), np.float64(0.7586206896551724), np.float64(0.8042328042328042), np.float64(0.48554913294797686), np.float64(0.6391752577319587), np.float64(0.6234939759036144), np.float64(0.9146341463414634), np.float64(0.8380952380952381), np.float64(0.9722991689750693), np.float64(0.6440677966101694)]
+class_r = [np.float64(0.0), np.float64(0.7264150943396226), np.float64(0.7958115183246073), np.float64(0.5153374233128835), np.float64(0.5210084033613446), np.float64(0.7840909090909091), np.float64(0.9375), np.float64(0.9361702127659575), np.float64(0.9023136246786633), np.float64(1.0)]
+confusion_matrix = [[  0   5   0  16   5  16   0   0   0   0]
+ [  0 154  22   0   8  26   0   0   0   2]
+ [  0  18 152   8   7   2   0   0   0   4]
+ [  0   4   7  84  38  26   0   0   0   4]
+ [  0  14   4  33 124  55   0   0   0   8]
+ [  0   6   4  32  12 207   0   0   0   3]
+ [  0   2   0   0   0   0 150   6   2   0]
+ [  0   0   0   0   0   0   4 176   8   0]
+ [  0   0   0   0   0   0  10  28 351   0]
+ [  0   0   0   0   0   0   0   0   0  38]]
+f1_macro = 0.6840726812373956
+f1_weighted = 0.7532884030820696
+evaluate 2
+acc = 0.7522546419098143
+acc_and_f1_macro = 0.7302639191012046
+acc_and_f1_weighted = 0.7514893569292973
+class_f1 = [np.float64(0.25806451612903225), np.float64(0.7196261682242991), np.float64(0.7799442896935934), np.float64(0.4675324675324675), np.float64(0.6061705989110707), np.float64(0.6561264822134387), np.float64(0.9308176100628932), np.float64(0.8730964467005077), np.float64(0.9342105263157896), np.float64(0.8571428571428571)]
+class_p = [np.float64(0.4), np.float64(0.7129629629629629), np.float64(0.8333333333333334), np.float64(0.496551724137931), np.float64(0.5335463258785943), np.float64(0.6859504132231405), np.float64(0.9367088607594937), np.float64(0.8349514563106796), np.float64(0.9568733153638814), np.float64(0.782608695652174)]
+class_r = [np.float64(0.19047619047619047), np.float64(0.7264150943396226), np.float64(0.7329842931937173), np.float64(0.44171779141104295), np.float64(0.7016806722689075), np.float64(0.6287878787878788), np.float64(0.925), np.float64(0.9148936170212766), np.float64(0.9125964010282777), np.float64(0.9473684210526315)]
+confusion_matrix = [[  8   4   0  10   8  12   0   0   0   0]
+ [  4 154  14   2  18  20   0   0   0   0]
+ [  0  31 140   8   8   2   0   0   0   2]
+ [  4   7   6  72  58  12   0   0   0   4]
+ [  0  12   4  25 167  28   0   0   0   2]
+ [  4   6   4  28  54 166   0   0   0   2]
+ [  0   2   0   0   0   0 148   8   2   0]
+ [  0   0   0   0   0   0   2 172  14   0]
+ [  0   0   0   0   0   0   8  26 355   0]
+ [  0   0   0   0   0   2   0   0   0  36]]
+f1_macro = 0.7082731962925949
+f1_weighted = 0.7507240719487804
+evaluate 3
+acc = 0.7480106100795756
+acc_and_f1_macro = 0.7216309782116379
+acc_and_f1_weighted = 0.745009762685597
+class_f1 = [np.float64(0.2), np.float64(0.7132867132867132), np.float64(0.7570621468926554), np.float64(0.43262411347517726), np.float64(0.6058091286307054), np.float64(0.6898839137645107), np.float64(0.9230769230769231), np.float64(0.8471849865951742), np.float64(0.9199491740787803), np.float64(0.8636363636363636)]
+class_p = [np.float64(0.3333333333333333), np.float64(0.7050691244239631), np.float64(0.8220858895705522), np.float64(0.5126050420168067), np.float64(0.5983606557377049), np.float64(0.6135693215339233), np.float64(0.9473684210526315), np.float64(0.8540540540540541), np.float64(0.9095477386934674), np.float64(0.76)]
+class_r = [np.float64(0.14285714285714285), np.float64(0.7216981132075472), np.float64(0.7015706806282722), np.float64(0.37423312883435583), np.float64(0.6134453781512605), np.float64(0.7878787878787878), np.float64(0.9), np.float64(0.8404255319148937), np.float64(0.9305912596401028), np.float64(1.0)]
+confusion_matrix = [[  6   4   0  10   6  16   0   0   0   0]
+ [  4 153  15   2  12  26   0   0   0   0]
+ [  2  32 134   7  10   2   0   0   0   4]
+ [  4   8   6  61  44  36   0   0   0   4]
+ [  0  12   4  21 146  51   0   0   0   4]
+ [  2   6   4  18  26 208   0   0   0   0]
+ [  0   2   0   0   0   0 144   6   8   0]
+ [  0   0   0   0   0   0   2 158  28   0]
+ [  0   0   0   0   0   0   6  21 362   0]
+ [  0   0   0   0   0   0   0   0   0  38]]
+f1_macro = 0.6952513463437002
+f1_weighted = 0.7420089152916185
+evaluate 4
+acc = 0.7554376657824934
+acc_and_f1_macro = 0.7299251289757365
+acc_and_f1_weighted = 0.7534075021522451
+class_f1 = [np.float64(0.16666666666666666), np.float64(0.7403846153846154), np.float64(0.8021390374331551), np.float64(0.4563758389261745), np.float64(0.5755395683453237), np.float64(0.678095238095238), np.float64(0.925), np.float64(0.8783068783068785), np.float64(0.9300518134715026), np.float64(0.891566265060241)]
+class_p = [np.float64(0.6666666666666666), np.float64(0.7549019607843137), np.float64(0.819672131147541), np.float64(0.5037037037037037), np.float64(0.5031446540880503), np.float64(0.6819923371647509), np.float64(0.925), np.float64(0.8736842105263158), np.float64(0.9373368146214099), np.float64(0.8222222222222222)]
+class_r = [np.float64(0.09523809523809523), np.float64(0.7264150943396226), np.float64(0.7853403141361257), np.float64(0.4171779141104294), np.float64(0.6722689075630253), np.float64(0.6742424242424242), np.float64(0.925), np.float64(0.8829787234042553), np.float64(0.922879177377892), np.float64(0.9736842105263158)]
+confusion_matrix = [[  4   4   0  12   8  14   0   0   0   0]
+ [  2 154  16   4  20  16   0   0   0   0]
+ [  0  20 150   3  12   4   0   0   0   2]
+ [  0   6   7  68  62  16   0   0   0   4]
+ [  0  12   4  28 160  32   0   0   0   2]
+ [  0   8   6  20  52 178   0   0   0   0]
+ [  0   0   0   0   2   0 148   6   4   0]
+ [  0   0   0   0   0   0   2 166  20   0]
+ [  0   0   0   0   2   0  10  18 359   0]
+ [  0   0   0   0   0   1   0   0   0  37]]
+f1_macro = 0.7044125921689796
+f1_weighted = 0.7513773385219968
+evaluate 5
+acc = 0.7586206896551724
+acc_and_f1_macro = 0.7333208161673415
+acc_and_f1_weighted = 0.7566757125566077
+class_f1 = [np.float64(0.16), np.float64(0.7464114832535885), np.float64(0.7914438502673796), np.float64(0.4814814814814815), np.float64(0.5988483685220729), np.float64(0.6994328922495274), np.float64(0.9240506329113924), np.float64(0.8524590163934426), np.float64(0.9213197969543147), np.float64(0.9047619047619047)]
+class_p = [np.float64(0.5), np.float64(0.7572815533980582), np.float64(0.8087431693989071), np.float64(0.484472049689441), np.float64(0.5512367491166078), np.float64(0.6981132075471698), np.float64(0.9358974358974359), np.float64(0.8764044943820225), np.float64(0.9097744360902256), np.float64(0.8260869565217391)]
+class_r = [np.float64(0.09523809523809523), np.float64(0.7358490566037735), np.float64(0.774869109947644), np.float64(0.4785276073619632), np.float64(0.6554621848739496), np.float64(0.7007575757575758), np.float64(0.9125), np.float64(0.8297872340425532), np.float64(0.9331619537275064), np.float64(1.0)]
+confusion_matrix = [[  4   4   0  16   4  14   0   0   0   0]
+ [  2 156  18   4  16  16   0   0   0   0]
+ [  0  20 148   5  12   4   0   0   0   2]
+ [  2   6   7  78  52  14   0   0   0   4]
+ [  0  12   4  32 156  32   0   0   0   2]
+ [  0   8   6  26  39 185   0   0   0   0]
+ [  0   0   0   0   2   0 146   6   6   0]
+ [  0   0   0   0   0   0   2 156  30   0]
+ [  0   0   0   0   2   0   8  16 363   0]
+ [  0   0   0   0   0   0   0   0   0  38]]
+f1_macro = 0.7080209426795105
+f1_weighted = 0.7547307354580429
+evaluate 6
+acc = 0.7564986737400531
+acc_and_f1_macro = 0.7311158097126855
+acc_and_f1_weighted = 0.7542026248283529
+class_f1 = [np.float64(0.16666666666666666), np.float64(0.7403846153846154), np.float64(0.7956989247311829), np.float64(0.46302250803858525), np.float64(0.5939849624060151), np.float64(0.6990654205607477), np.float64(0.925), np.float64(0.8478260869565217), np.float64(0.9209183673469388), np.float64(0.9047619047619047)]
+class_p = [np.float64(0.6666666666666666), np.float64(0.7549019607843137), np.float64(0.8176795580110497), np.float64(0.4864864864864865), np.float64(0.5374149659863946), np.float64(0.6900369003690037), np.float64(0.925), np.float64(0.8666666666666667), np.float64(0.9139240506329114), np.float64(0.8260869565217391)]
+class_r = [np.float64(0.09523809523809523), np.float64(0.7264150943396226), np.float64(0.774869109947644), np.float64(0.44171779141104295), np.float64(0.6638655462184874), np.float64(0.7083333333333334), np.float64(0.925), np.float64(0.8297872340425532), np.float64(0.9280205655526992), np.float64(1.0)]
+confusion_matrix = [[  4   4   0  15   5  14   0   0   0   0]
+ [  2 154  16   4  20  16   0   0   0   0]
+ [  0  22 148   3  12   4   0   0   0   2]
+ [  0   6   7  72  56  18   0   0   0   4]
+ [  0  12   4  30 158  32   0   0   0   2]
+ [  0   6   6  24  41 187   0   0   0   0]
+ [  0   0   0   0   2   0 148   6   4   0]
+ [  0   0   0   0   0   0   2 156  30   0]
+ [  0   0   0   0   0   0  10  18 361   0]
+ [  0   0   0   0   0   0   0   0   0  38]]
+f1_macro = 0.7057329456853179
+f1_weighted = 0.7519065759166527
+evaluate 7
+acc = 0.7580901856763925
+acc_and_f1_macro = 0.732903294943322
+acc_and_f1_weighted = 0.7560980300675524
+class_f1 = [np.float64(0.16), np.float64(0.7499999999999999), np.float64(0.8), np.float64(0.48253968253968255), np.float64(0.5928705440900564), np.float64(0.7018867924528303), np.float64(0.925), np.float64(0.8415300546448087), np.float64(0.9185750636132316), np.float64(0.9047619047619047)]
+class_p = [np.float64(0.5), np.float64(0.7647058823529411), np.float64(0.8268156424581006), np.float64(0.5), np.float64(0.535593220338983), np.float64(0.6992481203007519), np.float64(0.925), np.float64(0.8651685393258427), np.float64(0.9093198992443325), np.float64(0.8260869565217391)]
+class_r = [np.float64(0.09523809523809523), np.float64(0.7358490566037735), np.float64(0.774869109947644), np.float64(0.4662576687116564), np.float64(0.6638655462184874), np.float64(0.7045454545454546), np.float64(0.925), np.float64(0.8191489361702128), np.float64(0.9280205655526992), np.float64(1.0)]
+confusion_matrix = [[  4   4   0  15   5  14   0   0   0   0]
+ [  2 156  14   4  20  16   0   0   0   0]
+ [  0  22 148   3  12   4   0   0   0   2]
+ [  2   6   7  76  54  14   0   0   0   4]
+ [  0  12   4  30 158  32   0   0   0   2]
+ [  0   4   6  24  44 186   0   0   0   0]
+ [  0   0   0   0   2   0 148   6   4   0]
+ [  0   0   0   0   0   0   2 154  32   0]
+ [  0   0   0   0   0   0  10  18 361   0]
+ [  0   0   0   0   0   0   0   0   0  38]]
+f1_macro = 0.7077164042102514
+f1_weighted = 0.7541058744587121
+evaluate 8
+acc = 0.7618037135278515
+acc_and_f1_macro = 0.7323228184279761
+acc_and_f1_weighted = 0.7590034977915698
+class_f1 = [np.float64(0.08695652173913042), np.float64(0.7523809523809523), np.float64(0.8043478260869565), np.float64(0.4705882352941177), np.float64(0.5981308411214953), np.float64(0.6964618249534452), np.float64(0.925), np.float64(0.8601036269430052), np.float64(0.9296874999999999), np.float64(0.9047619047619047)]
+class_p = [np.float64(0.5), np.float64(0.7596153846153846), np.float64(0.8361581920903954), np.float64(0.5034965034965035), np.float64(0.5387205387205387), np.float64(0.684981684981685), np.float64(0.925), np.float64(0.8383838383838383), np.float64(0.941952506596306), np.float64(0.8260869565217391)]
+class_r = [np.float64(0.047619047619047616), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.44171779141104295), np.float64(0.6722689075630253), np.float64(0.7083333333333334), np.float64(0.925), np.float64(0.8829787234042553), np.float64(0.9177377892030848), np.float64(1.0)]
+confusion_matrix = [[  2   4   0  12   8  16   0   0   0   0]
+ [  2 158  14   4  18  16   0   0   0   0]
+ [  0  22 148   3  12   4   0   0   0   2]
+ [  0   7   6  72  56  18   0   0   0   4]
+ [  0  12   4  28 160  32   0   0   0   2]
+ [  0   5   5  24  43 187   0   0   0   0]
+ [  0   0   0   0   0   0 148  10   2   0]
+ [  0   0   0   0   0   0   2 166  20   0]
+ [  0   0   0   0   0   0  10  22 357   0]
+ [  0   0   0   0   0   0   0   0   0  38]]
+f1_macro = 0.7028419233281007
+f1_weighted = 0.7562032820552881
+evaluate 9
+acc = 0.7644562334217506
+acc_and_f1_macro = 0.7386967474391453
+acc_and_f1_weighted = 0.7625543782840718
+class_f1 = [np.float64(0.16), np.float64(0.7541766109785202), np.float64(0.802168021680217), np.float64(0.48253968253968255), np.float64(0.5951035781544257), np.float64(0.7018867924528303), np.float64(0.925), np.float64(0.8736842105263158), np.float64(0.9300518134715026), np.float64(0.9047619047619047)]
+class_p = [np.float64(0.5), np.float64(0.7632850241545893), np.float64(0.8314606741573034), np.float64(0.5), np.float64(0.5392491467576792), np.float64(0.6992481203007519), np.float64(0.925), np.float64(0.8645833333333334), np.float64(0.9373368146214099), np.float64(0.8260869565217391)]
+class_r = [np.float64(0.09523809523809523), np.float64(0.7452830188679245), np.float64(0.774869109947644), np.float64(0.4662576687116564), np.float64(0.6638655462184874), np.float64(0.7045454545454546), np.float64(0.925), np.float64(0.8829787234042553), np.float64(0.922879177377892), np.float64(1.0)]
+confusion_matrix = [[  4   4   0  15   5  14   0   0   0   0]
+ [  2 158  14   4  18  16   0   0   0   0]
+ [  0  22 148   3  12   4   0   0   0   2]
+ [  2   6   7  76  54  14   0   0   0   4]
+ [  0  12   4  30 158  32   0   0   0   2]
+ [  0   5   5  24  44 186   0   0   0   0]
+ [  0   0   0   0   2   0 148   6   4   0]
+ [  0   0   0   0   0   0   2 166  20   0]
+ [  0   0   0   0   0   0  10  20 359   0]
+ [  0   0   0   0   0   0   0   0   0  38]]
+f1_macro = 0.7129372614565399
+f1_weighted = 0.760652523146393

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a140abc72f23acfeee6403f1947d24d20561863739a3f656b9ff4920a8be9e2e
+size 498643560

tokenizer_config.json

@@ -0,0 +1,17 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06e90bba594a67858fbed551759bbc8d67acfcba7a9da07f7dbf1cd75c77ce1e
+size 2769