End of training
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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.9722
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1094
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- Precision: 0.8207
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- Recall: 0.8310
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- F1: 0.8259
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- Accuracy: 0.9722
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.1082 | 1.0 | 2655 | 0.1236 | 0.7783 | 0.8158 | 0.7966 | 0.9671 |
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| 0.0772 | 2.0 | 5310 | 0.1089 | 0.8055 | 0.8277 | 0.8165 | 0.9708 |
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| 0.0609 | 3.0 | 7965 | 0.1094 | 0.8207 | 0.8310 | 0.8259 | 0.9722 |
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### Framework versions
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config.json
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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": "
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"1": "
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"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": "ARGA",
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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": "ARGM-
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"13": "
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"14": "
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"15": "
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"16": "ARGM-
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"17": "
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"18": "
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"19": "
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"20": "
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"21": "
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"22": "
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"23": "
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"24": "
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"25": "
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"26": "
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"27": "
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"28": "
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"29": "
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"30": "
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"31": "
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"32": "
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"33": "ARGM-ADV",
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"34": "C-
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"35": "C-ARGM-
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"36": "ARGM-
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"37": "C-ARGM-
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"38": "ARGM-
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"39": "ARGM-
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"40": "ARGM-
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"41": "ARGM-
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"42": "ARGM-
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"43": "
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"44": "
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"45": "
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"46": "
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"47": "
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"48": "ARG3",
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"49": "
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"50": "
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"51": "
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"52": "R-ARGM-
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"53": "ARGM-
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"54": "ARGM-
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"55": "R-ARGM-
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"56": "
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"57": "
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"58": "R-ARGM-
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"59": "
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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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"ARG0":
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"ARG1":
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"ARG1-DSP":
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"ARG2":
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"ARG3":
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"ARG4":
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"ARG5":
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"ARGA": 7,
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"ARGM-ADJ":
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"ARGM-ADV":
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"ARGM-CAU":
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"ARGM-COM":
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"ARGM-CXN":
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"ARGM-DIR":
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"ARGM-DIS":
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"ARGM-EXT":
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"ARGM-GOL":
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"ARGM-LOC":
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"ARGM-LVB":
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"ARGM-MNR":
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"ARGM-MOD":
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"ARGM-NEG":
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"ARGM-PRD":
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"ARGM-PRP":
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"ARGM-PRR":
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"ARGM-REC":
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"ARGM-TMP":
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"C-ARG0":
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"C-ARG1":
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"C-ARG1-DSP":
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"C-ARG2":
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"C-ARG3":
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"C-ARG4":
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"C-ARGM-ADV":
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"C-ARGM-COM":
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"C-ARGM-CXN":
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"C-ARGM-DIR":
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"C-ARGM-EXT":
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"C-ARGM-GOL":
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"C-ARGM-LOC":
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"C-ARGM-MNR":
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"C-ARGM-PRP":
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"C-ARGM-PRR":
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"C-ARGM-TMP":
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"C-V":
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"R-ARG0":
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"R-ARG1":
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"R-ARG2":
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"R-ARG3":
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"R-ARG4":
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"R-ARGM-ADJ":
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"R-ARGM-ADV":
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"R-ARGM-CAU":
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"R-ARGM-COM":
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"R-ARGM-DIR":
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"R-ARGM-GOL":
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"R-ARGM-LOC":
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"R-ARGM-MNR":
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"R-ARGM-TMP":
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"_":
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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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": "ARG0",
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"1": "ARG1",
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"2": "ARG1-DSP",
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"3": "ARG2",
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"4": "ARG3",
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"5": "ARG4",
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"6": "ARG5",
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"7": "ARGA",
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"8": "ARGM-ADJ",
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"9": "ARGM-ADV",
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"10": "ARGM-CAU",
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"11": "ARGM-COM",
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"12": "ARGM-CXN",
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"13": "ARGM-DIR",
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"14": "ARGM-DIS",
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"15": "ARGM-EXT",
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"16": "ARGM-GOL",
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"17": "ARGM-LOC",
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"18": "ARGM-LVB",
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"19": "ARGM-MNR",
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"20": "ARGM-MOD",
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"21": "ARGM-NEG",
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"22": "ARGM-PRD",
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"23": "ARGM-PRP",
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"24": "ARGM-PRR",
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"25": "ARGM-REC",
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"26": "ARGM-TMP",
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"27": "C-ARG0",
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"28": "C-ARG1",
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"29": "C-ARG1-DSP",
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"30": "C-ARG2",
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"31": "C-ARG3",
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"32": "C-ARG4",
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"33": "C-ARGM-ADV",
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"34": "C-ARGM-COM",
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"35": "C-ARGM-CXN",
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"36": "C-ARGM-DIR",
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"37": "C-ARGM-EXT",
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"38": "C-ARGM-GOL",
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"39": "C-ARGM-LOC",
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"40": "C-ARGM-MNR",
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"41": "C-ARGM-PRP",
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"42": "C-ARGM-PRR",
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"43": "C-ARGM-TMP",
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"44": "C-V",
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"45": "R-ARG0",
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"46": "R-ARG1",
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"47": "R-ARG2",
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"48": "R-ARG3",
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"49": "R-ARG4",
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"50": "R-ARGM-ADJ",
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"51": "R-ARGM-ADV",
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"52": "R-ARGM-CAU",
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"53": "R-ARGM-COM",
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"54": "R-ARGM-DIR",
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"55": "R-ARGM-GOL",
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"56": "R-ARGM-LOC",
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"57": "R-ARGM-MNR",
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"58": "R-ARGM-TMP",
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"59": "_"
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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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"ARG0": 0,
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"ARG1": 1,
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"ARG1-DSP": 2,
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"ARG2": 3,
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"ARG3": 4,
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"ARG4": 5,
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"ARG5": 6,
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"ARGA": 7,
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"ARGM-ADJ": 8,
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"ARGM-ADV": 9,
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"ARGM-CAU": 10,
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"ARGM-COM": 11,
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"ARGM-CXN": 12,
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"ARGM-DIR": 13,
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"ARGM-DIS": 14,
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"ARGM-EXT": 15,
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"ARGM-GOL": 16,
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"ARGM-LOC": 17,
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"ARGM-LVB": 18,
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"ARGM-MNR": 19,
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"ARGM-MOD": 20,
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"ARGM-NEG": 21,
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"ARGM-PRD": 22,
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"ARGM-PRP": 23,
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"ARGM-PRR": 24,
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"ARGM-REC": 25,
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"ARGM-TMP": 26,
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"C-ARG0": 27,
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"C-ARG1": 28,
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"C-ARG1-DSP": 29,
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"C-ARG2": 30,
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"C-ARG3": 31,
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"C-ARG4": 32,
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"C-ARGM-ADV": 33,
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"C-ARGM-COM": 34,
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"C-ARGM-CXN": 35,
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"C-ARGM-DIR": 36,
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"C-ARGM-EXT": 37,
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"C-ARGM-GOL": 38,
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"C-ARGM-LOC": 39,
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"C-ARGM-MNR": 40,
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"C-ARGM-PRP": 41,
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"C-ARGM-PRR": 42,
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"C-ARGM-TMP": 43,
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"C-V": 44,
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"R-ARG0": 45,
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"R-ARG1": 46,
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"R-ARG2": 47,
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"R-ARG3": 48,
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"R-ARG4": 49,
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"R-ARGM-ADJ": 50,
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"R-ARGM-ADV": 51,
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"R-ARGM-CAU": 52,
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"R-ARGM-COM": 53,
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"R-ARGM-DIR": 54,
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"R-ARGM-GOL": 55,
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"R-ARGM-LOC": 56,
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"R-ARGM-MNR": 57,
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"R-ARGM-TMP": 58,
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"_": 59
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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model.safetensors
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runs/Mar28_14-24-30_arimo-ThinkBook-14-G5-IRH/events.out.tfevents.1711632278.arimo-ThinkBook-14-G5-IRH.35878.0
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training_args.bin
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