Training complete 20240728
Browse files- README.md +86 -0
- added_tokens.json +3 -0
- config.json +458 -12
- model.safetensors +2 -2
- runs/Jul28_17-12-48_b976d5774f8c/events.out.tfevents.1722186779.b976d5774f8c.42849.0 +3 -0
- runs/Jul28_17-31-32_0094becad88b/events.out.tfevents.1722187895.0094becad88b.2176.0 +3 -0
- runs/Jul28_18-02-45_0094becad88b/events.out.tfevents.1722189766.0094becad88b.2176.1 +3 -0
- runs/Jul28_18-03-06_0094becad88b/events.out.tfevents.1722189788.0094becad88b.2176.2 +3 -0
- runs/Jul28_18-33-32_c790c1b86ab6/events.out.tfevents.1722191614.c790c1b86ab6.1250.0 +3 -0
- runs/Jul28_18-33-32_c790c1b86ab6/events.out.tfevents.1722199123.c790c1b86ab6.1250.1 +3 -0
- special_tokens_map.json +7 -43
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +8 -9
- training_args.bin +2 -2
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-base
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tags:
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- multi-label text classification
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: deberta_classifier
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# deberta_classifier
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0183
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- Accuracy: 0.9955
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- F1: 0.6062
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- Precision: 0.8225
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- Recall: 0.4799
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.6159 | 0.1169 | 100 | 0.5955 | 0.7621 | 0.0288 | 0.0148 | 0.4839 |
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| 0.3536 | 0.2338 | 200 | 0.3085 | 0.9753 | 0.1645 | 0.1091 | 0.3341 |
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| 0.1166 | 0.3507 | 300 | 0.0917 | 0.9931 | 0.4124 | 0.5429 | 0.3325 |
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| 0.0456 | 0.4676 | 400 | 0.0375 | 0.9931 | 0.4124 | 0.5429 | 0.3325 |
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| 0.0308 | 0.5845 | 500 | 0.0270 | 0.9931 | 0.4124 | 0.5429 | 0.3325 |
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| 0.0249 | 0.7013 | 600 | 0.0234 | 0.9942 | 0.4459 | 0.7407 | 0.3189 |
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| 0.0231 | 0.8182 | 700 | 0.0211 | 0.9953 | 0.5983 | 0.7970 | 0.4789 |
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| 0.0213 | 0.9351 | 800 | 0.0196 | 0.9953 | 0.5989 | 0.7998 | 0.4787 |
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| 0.0197 | 1.0520 | 900 | 0.0187 | 0.9954 | 0.6029 | 0.8168 | 0.4778 |
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| 0.0205 | 1.1689 | 1000 | 0.0183 | 0.9955 | 0.6062 | 0.8225 | 0.4799 |
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| 0.017 | 1.2858 | 1100 | 0.0175 | 0.9959 | 0.6610 | 0.8426 | 0.5437 |
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| 0.018 | 1.4027 | 1200 | 0.0170 | 0.9960 | 0.6653 | 0.8685 | 0.5392 |
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| 0.0177 | 1.5196 | 1300 | 0.0165 | 0.9961 | 0.6722 | 0.8732 | 0.5464 |
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| 0.0189 | 1.6365 | 1400 | 0.0162 | 0.9962 | 0.6752 | 0.8910 | 0.5435 |
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| 0.0179 | 1.7534 | 1500 | 0.0159 | 0.9964 | 0.6898 | 0.9151 | 0.5535 |
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| 0.0169 | 1.8703 | 1600 | 0.0158 | 0.9964 | 0.6928 | 0.9030 | 0.5620 |
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| 0.0172 | 1.9871 | 1700 | 0.0156 | 0.9964 | 0.6909 | 0.9130 | 0.5557 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"[MASK]": 128000
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-base",
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"architectures": [
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-
"
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],
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"attention_probs_dropout_prob": 0.1,
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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":
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"1":
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"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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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"
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"
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],
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"position_biased_input": false,
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"relative_attention": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"type_vocab_size": 0,
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"vocab_size":
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}
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{
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"_name_or_path": "microsoft/deberta-v3-base",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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": "Appellate Review",
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"1": "Application for Attorneys' or Professional Fees and Expenses",
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"2": "Application for Bankruptcy Trustee Fees",
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"3": "Application to Employ Attorney or Other Professional",
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"4": "Application to Vacate Arbitration Award",
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"5": "Bail or Custody Motion",
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"6": "Certified Question",
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"7": "Declinatory Exception of Improper Venue",
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"8": "Declinatory Exception of Insufficiency of Service of Process",
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"9": "Declinatory Exception of Lack of Personal Jurisdiction",
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"10": "Declinatory Exception of Lack of Subject Matter Jurisdiction",
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"11": "Declinatory Exception of Lis Pendens",
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"12": "Dilatory Exception of Unauthorized Use of Summary Proceeding",
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"13": "Joinder",
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"14": "Jury Selection Challenge or Motion",
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"15": "Juvenile Delinquency Proceeding",
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"16": "Juvenile Wardship Petition",
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"17": "Motion Authorizing and Approving Payment of Certain Prepetition Obligations",
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"18": "Motion For Turnover",
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"19": "Motion for Abandonment of Property",
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"20": "Motion for Abatement",
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"21": "Motion for Additional Discovery",
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"22": "Motion for Additur",
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"23": "Motion for Adequate Protection",
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"24": "Motion for Appeal Bond",
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"25": "Motion for Appointment of Guardian ad Litem",
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"26": "Motion for Appointment of an Expert",
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"27": "Motion for Approval of Consent Judgment",
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"28": "Motion for Attorney's Fees",
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"29": "Motion for Bond",
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"30": "Motion for Claim Construction",
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"31": "Motion for Collateral Estoppel",
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"32": "Motion for Competency or Mental Health Evaluation",
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"33": "Motion for Contempt",
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"34": "Motion for Contempt Sanctions",
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"35": "Motion for Contempt for Violating Discharge Injunction or Order",
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"36": "Motion for Continuance",
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"37": "Motion for Costs",
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"38": "Motion for Default Judgment/Order of Default",
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"39": "Motion for Demurrer",
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"40": "Motion for Disbursement or Release of Funds",
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"41": "Motion for Discovery Sanctions",
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"42": "Motion for Entry of Discharge",
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"43": "Motion for Equitable Tolling",
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"44": "Motion for Evidentiary Hearing",
|
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"45": "Motion for Examination of Entity or Debtor",
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"46": "Motion for Extension of Time",
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"47": "Motion for Genetic Testing",
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"48": "Motion for In Camera Review",
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"49": "Motion for Independent Medical Examination (IME)",
|
61 |
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"50": "Motion for Involuntary Dismissal",
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"51": "Motion for Joint Custody",
|
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"52": "Motion for Judgment as a Matter of Law (JMOL)/Directed Verdict",
|
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"53": "Motion for Judgment on Administrative Record",
|
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"54": "Motion for Judgment on Partial Findings",
|
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"55": "Motion for Leave to File Late or Untimely Notice of Appeal",
|
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"56": "Motion for Leave to File under Seal",
|
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"57": "Motion for Maritime Attachment and Garnishment",
|
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"58": "Motion for New Trial",
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"59": "Motion for Non-Suit",
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71 |
+
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