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  1. models/o3-mini_20250218/README.md +199 -0
  2. models/o3-mini_20250218/added_tokens.json +3 -0
  3. models/o3-mini_20250218/config.json +150 -0
  4. models/o3-mini_20250218/model.safetensors +3 -0
  5. models/o3-mini_20250218/special_tokens_map.json +15 -0
  6. models/o3-mini_20250218/spm.model +3 -0
  7. models/o3-mini_20250218/tokenizer.json +0 -0
  8. models/o3-mini_20250218/tokenizer_config.json +60 -0
  9. models/o3-mini_20250218/training_args.bin +3 -0
models/o3-mini_20250218/README.md ADDED
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+ ---
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+ license: bsd-2-clause
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+ ---
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+
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+ ### Dataset: o3-mini_20250218
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+ ```text
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+ DatasetDict({
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+ test: Dataset({
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+ features: ['text', 'tokens', 'adj', 'adv', 'det', 'enc', 'func', 'misc', 'ner1', 'ner2', 'noun', 'pronoun', 'punct', 'verb', 'wh'],
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+ num_rows: 2571
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+ })
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+ train: Dataset({
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+ features: ['text', 'tokens', 'adj', 'adv', 'det', 'enc', 'func', 'misc', 'ner1', 'ner2', 'noun', 'pronoun', 'punct', 'verb', 'wh'],
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+ num_rows: 23389
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+ })
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+ validation: Dataset({
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+ features: ['text', 'tokens', 'adj', 'adv', 'det', 'enc', 'func', 'misc', 'ner1', 'ner2', 'noun', 'pronoun', 'punct', 'verb', 'wh'],
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+ num_rows: 2599
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+ })
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+ })
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+ ```
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+
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+
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+ ### Classification Reports
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+ ```text
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+ ----- adj classification report -----
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+ precision recall f1-score support
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+
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+ JJ 0.90 0.87 0.88 3187
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+ JJR 0.95 0.88 0.91 162
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+ JJS 0.88 0.84 0.86 102
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+ O 0.99 0.99 0.99 29414
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+
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+ accuracy 0.98 32865
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+ macro avg 0.93 0.89 0.91 32865
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+ weighted avg 0.98 0.98 0.98 32865
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+
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+ ----- adv classification report -----
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+ precision recall f1-score support
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+
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+ O 0.99 0.99 0.99 30468
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+ RB 0.91 0.91 0.91 2157
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+ RBR 0.89 0.90 0.89 146
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+ RBS 0.80 0.79 0.79 94
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+
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+ accuracy 0.99 32865
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+ macro avg 0.90 0.90 0.90 32865
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+ weighted avg 0.99 0.99 0.99 32865
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+
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+ ----- det classification report -----
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+ precision recall f1-score support
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+
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+ DT 0.96 0.95 0.96 4447
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+ EX 0.96 0.90 0.93 82
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+ O 0.99 0.99 0.99 28163
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+ PDT 0.63 0.55 0.59 173
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+
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+ accuracy 0.99 32865
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+ macro avg 0.89 0.85 0.87 32865
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+ weighted avg 0.99 0.99 0.99 32865
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+
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+ ----- enc classification report -----
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+ precision recall f1-score support
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+
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+ BRACKET 0.79 0.89 0.84 385
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+ O 0.99 0.99 0.99 31944
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+ QUOTE 0.75 0.76 0.76 536
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+
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+ accuracy 0.99 32865
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+ macro avg 0.85 0.88 0.86 32865
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+ weighted avg 0.99 0.99 0.99 32865
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+
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+ ----- func classification report -----
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+ precision recall f1-score support
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+
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+ CC 0.98 0.99 0.98 1153
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+ IN 0.97 0.98 0.97 3805
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+ O 0.99 0.99 0.99 26444
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+ RP 0.87 0.77 0.82 373
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+ TO 1.00 0.99 0.99 871
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+ UH 0.77 0.68 0.72 219
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+
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+ accuracy 0.99 32865
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+ macro avg 0.93 0.90 0.91 32865
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+ weighted avg 0.99 0.99 0.99 32865
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+
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+ ----- misc classification report -----
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+ precision recall f1-score support
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+
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+ $ 0.92 0.86 0.89 64
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+ ADD 0.77 0.71 0.74 719
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+ CD 0.89 0.89 0.89 558
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+ EMOJI 1.00 0.73 0.85 15
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+ O 0.99 0.99 0.99 30608
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+ TIME 0.88 0.90 0.89 901
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+
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+ accuracy 0.98 32865
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+ macro avg 0.91 0.85 0.87 32865
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+ weighted avg 0.98 0.98 0.98 32865
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+
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+ ----- ner1 classification report -----
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+ precision recall f1-score support
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+
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+ B-GPE 0.87 0.90 0.89 473
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+ B-ORG 0.86 0.82 0.84 424
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+ B-PER 0.95 0.93 0.94 649
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+ I-GPE 0.85 0.90 0.87 147
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+ I-ORG 0.85 0.82 0.83 310
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+ I-PER 0.96 0.96 0.96 261
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+ O 0.99 0.99 0.99 30601
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+
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+ accuracy 0.99 32865
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+ macro avg 0.90 0.90 0.90 32865
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+ weighted avg 0.99 0.99 0.99 32865
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+
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+ ----- ner2 classification report -----
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+ precision recall f1-score support
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+
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+ B-EVENT 0.62 0.52 0.56 621
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+ B-LOC 0.78 0.78 0.78 909
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+ I-EVENT 0.54 0.32 0.40 1033
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+ I-LOC 0.73 0.66 0.70 597
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+ O 0.96 0.98 0.97 29705
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+
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+ accuracy 0.94 32865
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+ macro avg 0.73 0.65 0.68 32865
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+ weighted avg 0.93 0.94 0.93 32865
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+
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+ ----- noun classification report -----
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+ precision recall f1-score support
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+
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+ NN 0.96 0.96 0.96 4400
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+ NNP 0.94 0.96 0.95 2410
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+ NNPS 0.67 0.72 0.69 61
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+ NNS 0.97 0.97 0.97 1698
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+ O 0.99 0.99 0.99 24296
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+
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+ accuracy 0.98 32865
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+ macro avg 0.91 0.92 0.91 32865
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+ weighted avg 0.98 0.98 0.98 32865
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+
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+ ----- pronoun classification report -----
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+ precision recall f1-score support
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+
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+ O 1.00 1.00 1.00 29952
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+ POS 0.97 0.97 0.97 154
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+ PRP 0.97 0.97 0.97 2139
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+ PRP$ 0.99 0.98 0.99 620
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+
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+ accuracy 1.00 32865
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+ macro avg 0.98 0.98 0.98 32865
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+ weighted avg 1.00 1.00 1.00 32865
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+
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+ ----- punct classification report -----
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+ precision recall f1-score support
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+
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+ COLON 0.99 0.95 0.97 201
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+ COMMA 0.99 1.00 0.99 1454
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+ EXCLAIM 0.99 0.97 0.98 107
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+ HYPH 0.96 0.95 0.95 321
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+ LS 0.57 0.53 0.55 15
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+ O 1.00 1.00 1.00 28545
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+ PERIOD 0.98 0.99 0.99 2022
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+ QUESTION 0.99 0.99 0.99 156
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+ SEP 0.75 0.41 0.53 44
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+
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+ accuracy 1.00 32865
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+ macro avg 0.91 0.87 0.88 32865
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+ weighted avg 1.00 1.00 1.00 32865
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+
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+ ----- verb classification report -----
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+ precision recall f1-score support
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+
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+ MD 1.00 0.98 0.99 527
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+ O 1.00 0.99 0.99 26452
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+ VB 0.95 0.94 0.94 1540
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+ VBD 0.96 0.96 0.96 1330
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+ VBG 0.94 0.96 0.95 625
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+ VBN 0.88 0.93 0.90 766
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+ VBP 0.88 0.92 0.90 766
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+ VBZ 0.99 0.98 0.98 859
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+
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+ accuracy 0.98 32865
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+ macro avg 0.95 0.96 0.95 32865
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+ weighted avg 0.99 0.98 0.98 32865
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+
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+ ----- wh classification report -----
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+ precision recall f1-score support
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+
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+ O 0.99 1.00 0.99 32019
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+ WDT 0.75 0.57 0.65 186
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+ WP 0.84 0.71 0.77 164
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+ WP$ 0.62 0.58 0.60 238
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+ WRB 0.94 0.72 0.81 258
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+
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+ accuracy 0.99 32865
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+ macro avg 0.83 0.72 0.77 32865
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+ weighted avg 0.99 0.99 0.99 32865
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+ ```
models/o3-mini_20250218/added_tokens.json ADDED
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+ {
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+ "_name_or_path": "microsoft/deberta-v3-base",
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+ "architectures": [
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+ "MultiHeadModel"
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+ "adj": [
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+ "JJ",
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+ "RBR",
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+ "O",
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+ "$"
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+ "O",
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