hsuvaskakoty
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- bert-base-uncased_classification_report_with_val.csv +7 -0
- bert-base-uncased_confusion_matrix_with_val.png +0 -0
- bert-base-uncased_predictions_with_val.csv +0 -0
- bert-base-uncased_wikidata_prop_label_removed_metrics.json +1 -0
- bert-large-uncased_classification_report_with_val.csv +7 -0
- bert-large-uncased_confusion_matrix_with_val.png +0 -0
- bert-large-uncased_predictions_with_val.csv +0 -0
- bert-large-uncased_wikidata_prop_label_removed_metrics.json +1 -0
- config.json +39 -0
- distilbert-base-uncased_classification_report_with_val.csv +7 -0
- distilbert-base-uncased_confusion_matrix_with_val.png +0 -0
- distilbert-base-uncased_predictions_with_val.csv +0 -0
- distilbert-base-uncased_wikidata_prop_label_removed_metrics.json +1 -0
- events.out.tfevents.1731602545.hsuvaspc.359515.0 +3 -0
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bert-base-uncased_classification_report_with_val.csv
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no_consensus,0.35714285714285715,0.45454545454545453,0.4,11.0
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accuracy,0.8144329896907216,0.8144329896907216,0.8144329896907216,0.8144329896907216
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+
macro avg,0.5600732600732602,0.5425407925407926,0.5435897435897435,97.0
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weighted avg,0.815758468335788,0.8144329896907216,0.8130055511498812,97.0
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bert-base-uncased_confusion_matrix_with_val.png
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bert-base-uncased_predictions_with_val.csv
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bert-base-uncased_wikidata_prop_label_removed_metrics.json
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{"accuracy": 0.8144329896907216, "precision": 0.5600732600732602, "recall": 0.5425407925407926, "f1": 0.5435897435897435}
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bert-large-uncased_classification_report_with_val.csv
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accuracy,0.8556701030927835,0.8556701030927835,0.8556701030927835,0.8556701030927835
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macro avg,0.6869281045751633,0.5709984459984461,0.6105583337629531,97.0
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weighted avg,0.8358196887002224,0.8556701030927835,0.8385694673796404,97.0
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bert-large-uncased_confusion_matrix_with_val.png
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bert-large-uncased_predictions_with_val.csv
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bert-large-uncased_wikidata_prop_label_removed_metrics.json
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{"accuracy": 0.8556701030927835, "precision": 0.6869281045751633, "recall": 0.5709984459984461, "f1": 0.6105583337629531}
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config.json
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{
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"_name_or_path": "cardiffnlp/twitter-roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_1": 1,
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"LABEL_2": 2
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.44.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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distilbert-base-uncased_classification_report_with_val.csv
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no_consensus,0.47368421052631576,0.8181818181818182,0.6,11.0
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accuracy,0.8556701030927835,0.8556701030927835,0.8556701030927835,0.8556701030927835
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macro avg,0.7001169590643275,0.6637529137529138,0.6349376114081996,97.0
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weighted avg,0.8806583468981732,0.8556701030927835,0.8548541815976624,97.0
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distilbert-base-uncased_confusion_matrix_with_val.png
ADDED
distilbert-base-uncased_predictions_with_val.csv
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distilbert-base-uncased_wikidata_prop_label_removed_metrics.json
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