imvladikon
commited on
Commit
•
f6b8a39
1
Parent(s):
981bba3
init
Browse files- README.md +0 -0
- added_tokens.json +3 -0
- all_results.json +125 -0
- config.json +103 -0
- eval_classification_report.csv +12 -0
- eval_classification_report.json +68 -0
- eval_confusion_matrix.csv +11 -0
- eval_results.json +44 -0
- eval_results_groups.json +85 -0
- eval_sk_classification_report.csv +21 -0
- label2id.json +21 -0
- predict_classification_report.csv +11 -0
- predict_classification_report.json +62 -0
- predict_confusion_matrix.csv +10 -0
- predict_results.json +38 -0
- predict_results_groups.json +63 -0
- predict_sk_classification_report.csv +19 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +108 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +115 -0
- train_classification_report.csv +13 -0
- train_classification_report.json +74 -0
- train_confusion_matrix.csv +12 -0
- train_results.json +46 -0
- train_results_groups.json +71 -0
- train_sk_classification_report.csv +23 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
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added_tokens.json
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{
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"<s>": 32100
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}
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all_results.json
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{
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"epoch": 3.0,
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"eval_COMMERCIAL_ITEM_f1": 0.0,
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"eval_COMMERCIAL_ITEM_number": 1,
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"eval_COMMERCIAL_ITEM_precision": 0.0,
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"eval_COMMERCIAL_ITEM_recall": 0.0,
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"eval_DATE_f1": 0.8666666666666666,
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"eval_DATE_number": 14,
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"eval_DATE_precision": 0.8125,
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"eval_LOCATION_f1": 0.7317073170731706,
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"eval_LOCATION_number": 20,
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"eval_LOCATION_precision": 0.7142857142857143,
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"eval_LOCATION_recall": 0.75,
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"eval_ORGANIZATION_f1": 0.8848484848484848,
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"eval_ORGANIZATION_number": 80,
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"eval_ORGANIZATION_precision": 0.8588235294117647,
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"eval_ORGANIZATION_recall": 0.9125,
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"eval_OTHER_f1": 0.35,
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"eval_OTHER_number": 21,
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"eval_PERSON_number": 29,
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"eval_PERSON_recall": 0.9310344827586207,
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"eval_QUANTITY_f1": 0.8275862068965518,
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"eval_QUANTITY_number": 14,
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"eval_QUANTITY_precision": 0.8,
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"eval_QUANTITY_recall": 0.8571428571428571,
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"eval_TITLE_f1": 0.0,
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"eval_TITLE_number": 7,
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"eval_TITLE_precision": 0.0,
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"eval_TITLE_recall": 0.0,
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"eval_loss": 0.19558680057525635,
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"eval_overall_accuracy": 0.9534472598703595,
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"eval_overall_f1": 0.7696335078534032,
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"eval_overall_precision": 0.75,
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"eval_overall_recall": 0.7903225806451613,
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"eval_runtime": 14.8553,
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"eval_samples": 35,
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"eval_samples_per_second": 2.356,
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"eval_steps_per_second": 1.212,
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"predict_DATE_f1": 0.9714285714285714,
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"predict_DATE_number": 18,
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"predict_DATE_precision": 1.0,
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"predict_DATE_recall": 0.9444444444444444,
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"predict_LOCATION_number": 9,
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"predict_LOCATION_precision": 0.6666666666666666,
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"predict_LOCATION_recall": 0.6666666666666666,
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"predict_ORGANIZATION_f1": 0.9548387096774195,
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"predict_ORGANIZATION_number": 78,
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"predict_ORGANIZATION_precision": 0.961038961038961,
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"predict_ORGANIZATION_recall": 0.9487179487179487,
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"predict_OTHER_f1": 0.5490196078431373,
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"predict_OTHER_number": 24,
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"predict_OTHER_precision": 0.5185185185185185,
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"predict_OTHER_recall": 0.5833333333333334,
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"predict_PERSON_f1": 0.8518518518518519,
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"predict_PERSON_number": 55,
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"predict_PERSON_precision": 0.8679245283018868,
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"predict_PERSON_recall": 0.8363636363636363,
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"predict_QUANTITY_f1": 0.8620689655172413,
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"predict_QUANTITY_number": 28,
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"predict_QUANTITY_precision": 0.8333333333333334,
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"predict_QUANTITY_recall": 0.8928571428571429,
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"predict_TITLE_f1": 0.11764705882352941,
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"predict_TITLE_number": 10,
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"predict_TITLE_precision": 0.14285714285714285,
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"predict_TITLE_recall": 0.1,
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"predict_loss": 0.1715492457151413,
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"predict_overall_accuracy": 0.968184311574328,
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"predict_overall_f1": 0.8280542986425339,
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"predict_overall_precision": 0.8318181818181818,
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"predict_overall_recall": 0.8243243243243243,
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"predict_runtime": 19.7294,
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"predict_samples_per_second": 1.825,
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"predict_steps_per_second": 0.912,
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"train_COMMERCIAL_ITEM_f1": 0.0,
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"train_COMMERCIAL_ITEM_number": 7,
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"train_COMMERCIAL_ITEM_precision": 0.0,
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"train_loss": 0.14113017916679382,
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"train_overall_accuracy": 0.9713395552737148,
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"train_overall_f1": 0.8465208501146292,
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"train_overall_precision": 0.8415670814340274,
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"train_overall_recall": 0.8515332834704562,
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"train_runtime": 701.7841,
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"train_samples": 1416,
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"train_samples_per_second": 2.018,
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"train_steps_per_second": 1.009
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}
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config.json
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{
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"_name_or_path": "t5-large",
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"architectures": [
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"EncT5ForTokenClassification"
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],
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"d_ff": 4096,
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"d_kv": 64,
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"d_model": 1024,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"finetuning_task": "ner",
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"id2label": {
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"0": "O",
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"1": "B-PERSON",
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"2": "I-PERSON",
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"3": "B-ORGANIZATION",
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"4": "I-ORGANIZATION",
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"5": "B-LOCATION",
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"6": "I-LOCATION",
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"7": "B-TITLE",
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"8": "I-TITLE",
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"9": "B-EVENT",
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"10": "I-EVENT",
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"11": "B-QUANTITY",
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"12": "I-QUANTITY",
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"13": "B-DATE",
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"14": "I-DATE",
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"15": "B-COMMERCIAL_ITEM",
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"16": "I-COMMERCIAL_ITEM",
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"17": "B-OTHER",
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"18": "I-OTHER"
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},
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"label2id": {
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"B-COMMERCIAL_ITEM": 15,
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"B-DATE": 13,
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"B-EVENT": 9,
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"B-LOCATION": 5,
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"B-ORGANIZATION": 3,
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"B-OTHER": 17,
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"B-PERSON": 1,
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"B-QUANTITY": 11,
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"B-TITLE": 7,
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"I-COMMERCIAL_ITEM": 16,
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"I-DATE": 14,
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"I-EVENT": 10,
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"I-LOCATION": 6,
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"I-ORGANIZATION": 4,
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"I-OTHER": 18,
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"I-PERSON": 2,
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"I-QUANTITY": 12,
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"I-TITLE": 8,
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"O": 0
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},
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 24,
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"num_heads": 16,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.21.1",
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"use_cache": true,
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"vocab_size": 32128
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}
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eval_classification_report.csv
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,tag,precision,recall,f1-score,support
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0,COMMERCIAL_ITEM,0.0,0.0,0.0,1.0
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1,DATE,0.8125,0.9285714285714286,0.8666666666666666,14.0
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4 |
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2,LOCATION,0.7142857142857143,0.75,0.7317073170731706,20.0
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3,ORGANIZATION,0.8588235294117647,0.9125,0.8848484848484848,80.0
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4,OTHER,0.3684210526315789,0.3333333333333333,0.35,21.0
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5,PERSON,0.8181818181818182,0.9310344827586207,0.8709677419354839,29.0
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6,QUANTITY,0.8,0.8571428571428571,0.8275862068965518,14.0
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7,TITLE,0.0,0.0,0.0,7.0
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8,micro avg,0.75,0.7903225806451613,0.7696335078534032,186.0
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9,macro avg,0.5465265143138595,0.5890727627257799,0.5664720521775447,186.0
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10,weighted avg,0.7367242552214589,0.7903225806451613,0.762094784276109,186.0
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eval_classification_report.json
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eval_confusion_matrix.csv
ADDED
@@ -0,0 +1,11 @@
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|
1 |
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,Actual\Predicted,DATE,LOCATION,O,ORGANIZATION,OTHER,PERSON,QUANTITY,TITLE,All
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8,TITLE,0,0,3,4,0,3,0,2,12
|
11 |
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9,All,31,29,1358,157,25,48,37,12,1697
|
eval_results.json
ADDED
@@ -0,0 +1,44 @@
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|
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|
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|
44 |
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|
eval_results_groups.json
ADDED
@@ -0,0 +1,85 @@
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|
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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|
62 |
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|
63 |
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|
64 |
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|
65 |
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|
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|
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78 |
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|
82 |
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|
83 |
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|
84 |
+
}
|
85 |
+
}
|
eval_sk_classification_report.csv
ADDED
@@ -0,0 +1,21 @@
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
1 |
+
,tag,precision,recall,f1-score,support,entity
|
2 |
+
0,B-COMMERCIAL_ITEM,0.0,0.0,0.0,1.0,COMMERCIAL_ITEM
|
3 |
+
8,I-COMMERCIAL_ITEM,0.0,0.0,0.0,2.0,COMMERCIAL_ITEM
|
4 |
+
9,I-DATE,1.0,0.8823529411764706,0.9375,17.0,DATE
|
5 |
+
1,B-DATE,0.875,1.0,0.9333333333333333,14.0,DATE
|
6 |
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2,B-LOCATION,0.85,0.85,0.85,20.0,LOCATION
|
7 |
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10,I-LOCATION,1.0,0.6923076923076923,0.8181818181818181,13.0,LOCATION
|
8 |
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16,O,0.9771723122238586,0.9858841010401189,0.981508875739645,1346.0,O
|
9 |
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|
10 |
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|
11 |
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12,I-OTHER,0.625,0.3333333333333333,0.43478260869565216,15.0,OTHER
|
12 |
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4,B-OTHER,0.5882352941176471,0.47619047619047616,0.5263157894736842,21.0,OTHER
|
13 |
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|
14 |
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13,I-PERSON,0.8666666666666667,0.8666666666666667,0.8666666666666667,15.0,PERSON
|
15 |
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|
16 |
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|
17 |
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15,I-TITLE,0.18181818181818182,0.4,0.25000000000000006,5.0,TITLE
|
18 |
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7,B-TITLE,0.0,0.0,0.0,7.0,TITLE
|
19 |
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17,accuracy,0.9534472598703595,0.9534472598703595,0.9534472598703595,0.9534472598703595,accuracy
|
20 |
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18,macro avg,0.6705728660223493,0.6554617605487928,0.6552100167999706,1697.0,macro avg
|
21 |
+
19,weighted avg,0.9493070832578766,0.9534472598703595,0.9503954610130667,1697.0,weighted avg
|
label2id.json
ADDED
@@ -0,0 +1,21 @@
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|
|
1 |
+
{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
+
"B-OTHER": 17,
|
20 |
+
"I-OTHER": 18
|
21 |
+
}
|
predict_classification_report.csv
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
1 |
+
,tag,precision,recall,f1-score,support
|
2 |
+
0,DATE,1.0,0.9444444444444444,0.9714285714285714,18.0
|
3 |
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1,LOCATION,0.6666666666666666,0.6666666666666666,0.6666666666666666,9.0
|
4 |
+
2,ORGANIZATION,0.961038961038961,0.9487179487179487,0.9548387096774195,78.0
|
5 |
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3,OTHER,0.5185185185185185,0.5833333333333334,0.5490196078431373,24.0
|
6 |
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4,PERSON,0.8679245283018868,0.8363636363636363,0.8518518518518519,55.0
|
7 |
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5,QUANTITY,0.8333333333333334,0.8928571428571429,0.8620689655172413,28.0
|
8 |
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6,TITLE,0.14285714285714285,0.1,0.11764705882352941,10.0
|
9 |
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7,micro avg,0.8318181818181818,0.8243243243243243,0.8280542986425339,222.0
|
10 |
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8,macro avg,0.7129055929595013,0.7103404531975961,0.7105030616869168,222.0
|
11 |
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9,weighted avg,0.8283929604684321,0.8243243243243243,0.8257020617268388,222.0
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predict_classification_report.json
ADDED
@@ -0,0 +1,62 @@
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1 |
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predict_confusion_matrix.csv
ADDED
@@ -0,0 +1,10 @@
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1 |
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predict_results.json
ADDED
@@ -0,0 +1,38 @@
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{
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predict_results_groups.json
ADDED
@@ -0,0 +1,63 @@
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|
63 |
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predict_sk_classification_report.csv
ADDED
@@ -0,0 +1,19 @@
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|
|
1 |
+
,tag,precision,recall,f1-score,support,entity
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0,B-DATE,1.0,0.9444444444444444,0.9714285714285714,18.0,DATE
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9,I-ORGANIZATION,1.0,0.9888888888888889,0.9944134078212291,90.0,ORGANIZATION
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13,I-TITLE,0.8125,0.7647058823529411,0.787878787878788,17.0,TITLE
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17,weighted avg,0.968817370156649,0.968184311574328,0.9663713907913454,1823.0,weighted avg
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 1339899703
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special_tokens_map.json
ADDED
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tokenizer.json
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tokenizer_config.json
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train_classification_report.csv
ADDED
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1 |
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train_classification_report.json
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train_confusion_matrix.csv
ADDED
@@ -0,0 +1,12 @@
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|
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|
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|
1 |
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,Actual\Predicted,DATE,LOCATION,O,ORGANIZATION,OTHER,PERSON,QUANTITY,TITLE,All
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train_results.json
ADDED
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|
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|
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}
|
train_results_groups.json
ADDED
@@ -0,0 +1,71 @@
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{
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
train_sk_classification_report.csv
ADDED
@@ -0,0 +1,23 @@
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|
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|
|
1 |
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,tag,precision,recall,f1-score,support,entity
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0,B-COMMERCIAL_ITEM,0.0,0.0,0.0,7.0,COMMERCIAL_ITEM
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20,macro avg,0.7169707265334972,0.6620244077732942,0.6703120809634436,72539.0,macro avg
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21,weighted avg,0.9697084179539044,0.9713395552737148,0.9688185642893826,72539.0,weighted avg
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trainer_state.json
ADDED
The diff for this file is too large to render.
See raw diff
|
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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