tangminhanh
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Parent(s):
Duplicate from tangminhanh/ts_subcate
Browse files- .gitattributes +35 -0
- README.md +75 -0
- added_tokens.json +3 -0
- config.json +408 -0
- model.safetensors +3 -0
- runs/Aug06_15-02-40_8286c2bd2340/events.out.tfevents.1722956564.8286c2bd2340.1585.2 +3 -0
- runs/Aug06_15-02-40_8286c2bd2340/events.out.tfevents.1722959300.8286c2bd2340.1585.3 +3 -0
- special_tokens_map.json +51 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- training_args.bin +3 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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base_model: tangminhanh/ts_cate
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tags:
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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: ts_subcate
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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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# ts_subcate
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This model is a fine-tuned version of [tangminhanh/ts_cate](https://huggingface.co/tangminhanh/ts_cate) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0084
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- Accuracy: 0.7013
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- F1: 0.7812
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- Precision: 0.8815
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- Recall: 0.7014
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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: 32
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- eval_batch_size: 64
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- seed: 42
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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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- num_epochs: 10
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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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| No log | 1.0 | 403 | 0.0261 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.0805 | 2.0 | 806 | 0.0174 | 0.3328 | 0.4904 | 0.9438 | 0.3313 |
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| 0.0203 | 3.0 | 1209 | 0.0131 | 0.4702 | 0.6217 | 0.9229 | 0.4687 |
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| 0.0138 | 4.0 | 1612 | 0.0111 | 0.5592 | 0.6939 | 0.9170 | 0.5581 |
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| 0.0104 | 5.0 | 2015 | 0.0100 | 0.6297 | 0.7417 | 0.8998 | 0.6308 |
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| 0.0104 | 6.0 | 2418 | 0.0091 | 0.6659 | 0.7628 | 0.8909 | 0.6669 |
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| 0.0084 | 7.0 | 2821 | 0.0088 | 0.6815 | 0.7712 | 0.8867 | 0.6823 |
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| 0.0072 | 8.0 | 3224 | 0.0086 | 0.6889 | 0.7764 | 0.8874 | 0.6900 |
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| 0.0063 | 9.0 | 3627 | 0.0084 | 0.6982 | 0.7803 | 0.8832 | 0.6989 |
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| 0.006 | 10.0 | 4030 | 0.0084 | 0.7013 | 0.7812 | 0.8815 | 0.7014 |
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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": "tangminhanh/ts_cate",
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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": "Access Reactivation",
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"1": "Access Upload",
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"2": "Badge Card Re-assignment",
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"3": "Badge Card Request",
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"4": "Bio Disable",
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"5": "Bio Enrollment",
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"6": "Bio ID Request",
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"7": "Biometric Issue",
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"8": "Device Configuration",
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"9": "General Biometric Services",
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"10": "Logs Report Generation",
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"11": "Sprout Migration",
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"12": "Diagram Creation/Update",
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"13": "Floorplan Creation/Update",
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"14": "Infographics",
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"15": "Knowledgebase",
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"16": "Other Documentations",
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"17": "Process Update",
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"18": "Security Questionnaire",
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"19": "New Joinee",
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"20": "Recurring Ticket Request/Removal",
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"21": "Report Generation",
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"22": "Ticketing Inquiry",
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"23": "Test Ticket",
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"24": "Accountability Form",
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"25": "Disposal",
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"26": "Gatepass Processing",
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"27": "Inventory",
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"28": "Issuance Form",
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"29": "Item Request",
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"30": "Report",
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"31": "Warranty",
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"32": "NT Login Password Reset",
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"33": "Exit Clearance",
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"34": "Employee Leaving",
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"35": "Item Retrieval",
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"36": "Camera Rotate/Disable Request",
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"37": "CCTV Checking",
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"38": "CCTV Footage Extraction",
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"39": "CCTV Issue",
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"40": "CCTV Viewing Assistance",
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"41": "General CCTV Inquiry",
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"42": "Common Area and Conference Room Checking",
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"43": "Daily Checking",
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"44": "Server Room Checking",
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"45": "Server Room Log Sheet Checking",
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"46": "Cable Management",
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"47": "Data Center UPS/PDU Issue",
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"48": "Desktop UPS Issue",
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"49": "Desktop/Laptop Problem",
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"50": "Desktop/Laptop Setup",
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"51": "Device/Equipment Checking",
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"52": "Equipment Loan/Retrieval",
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"53": "Joan Device",
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"54": "Peripherals",
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"55": "Raspberry Pi/Hygrometer",
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"56": "Sonos",
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"57": "Tablet",
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"58": "TV/Projector/Sound System",
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"59": "Video Conference",
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"60": "Data Center Access",
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"61": "General Inquiry",
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"62": "On-site Assistance",
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"63": "Port Checking",
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"64": "Pull-In/Out Assistance",
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"65": "Site Walkthrough / Round Check",
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"66": "Digital Signage",
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"67": "Setup",
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"68": "Removal",
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"69": "Connection Issue",
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"70": "Connection Checking",
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"71": "General Network Activity",
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"72": "Maintenance",
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"73": "Monitoring Alerts",
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"74": "Network Diagram Creation/Update",
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"75": "Network Gear Mount/Unmount",
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"76": "Operational Readiness Test",
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"77": "Port Tracing",
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"78": "Site Build",
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"79": "SSID Creation/Removal",
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"80": "VLAN Change/Create",
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"81": "Website Issue",
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"82": "Whitelist/Blacklist",
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"83": "Wired/Wireless Connection",
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"84": "IP Request",
|
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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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|
402 |
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|
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|
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model.safetensors
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special_tokens_map.json
ADDED
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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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|
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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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|
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|
spm.model
ADDED
@@ -0,0 +1,3 @@
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tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,65 @@
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"128000": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 1000000000000000019884624838656,
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"pad_to_multiple_of": null,
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"pad_token": "[PAD]",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
|
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"split_by_punct": false,
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"stride": 0,
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"tokenizer_class": "DebertaV2Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea795bb7e99a64d3970c78db9bd4939955bb3850361dcdf6fa9a49199a682d62
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size 5112
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