Mykyta Kotenko
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Browse files- LICENSE +24 -0
- README.md +177 -0
- checkpoint-1179/config.json +71 -0
- checkpoint-1179/model.safetensors +3 -0
- checkpoint-1179/optimizer.pt +3 -0
- checkpoint-1179/rng_state.pth +3 -0
- checkpoint-1179/scheduler.pt +3 -0
- checkpoint-1179/trainer_state.json +970 -0
- checkpoint-1179/training_args.bin +3 -0
- checkpoint-1310/config.json +71 -0
- checkpoint-1310/model.safetensors +3 -0
- checkpoint-1310/optimizer.pt +3 -0
- checkpoint-1310/rng_state.pth +3 -0
- checkpoint-1310/scheduler.pt +3 -0
- checkpoint-1310/trainer_state.json +1080 -0
- checkpoint-1310/training_args.bin +3 -0
- config.json +71 -0
- label_map.json +22 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.json +0 -0
LICENSE
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MIT License
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Copyright (c) 2025 Mykyta Kotenko
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Based on RoBERTa model from Hugging Face Transformers library.
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Original RoBERTa model: Copyright (c) Facebook, Inc. and its affiliates.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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language: en
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license: mit
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tags:
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- text-classification
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- intent-classification
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- contact-management
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- roberta
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base_model: roberta-base
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datasets:
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- custom
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model-index:
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- name: assistant-bot-intent-classifier
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results:
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- task:
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type: text-classification
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name: Intent Classification
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metrics:
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- type: accuracy
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value: 0.95
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name: Accuracy
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---
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# Intent Classifier for Contact Management Assistant Bot
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This model is a fine-tuned RoBERTa-base model for intent classification in contact management tasks.
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## Model Description
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- **Developed by:** Mykyta Kotenko
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- **Base Model:** [roberta-base](https://huggingface.co/roberta-base) by Facebook AI
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- **Task:** Text Classification (Intent Recognition)
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- **Language:** English
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- **License:** MIT
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## Supported Intents
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This model recognizes 15+ different intents for contact management:
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### Contact Management
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- `add_contact` - Add new contact with name, phone, email, address, birthday
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- `edit_phone` - Update contact's phone number
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- `edit_email` - Update contact's email address
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- `edit_address` - Update contact's address
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- `delete_contact` - Delete a contact
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- `show_contact` - Show details of a specific contact
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- `show_contacts` - List all contacts
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- `search_contacts` - Search for contacts
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### Notes
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- `add_note` - Add a note to a contact
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- `show_notes` - Show all notes or notes for a contact
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- `edit_note` - Edit an existing note
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- `delete_note` - Delete a note
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### Tags
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- `add_tag` - Add a tag to a contact
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- `remove_tag` - Remove a tag from a contact
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### Other
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- `show_birthdays` - Show upcoming birthdays
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- `help` - Show help message
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- `exit` - Exit the application
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
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# Load model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained("mykytakotenko/assistant-bot-intent-classifier")
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model = AutoModelForSequenceClassification.from_pretrained("mykytakotenko/assistant-bot-intent-classifier")
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# Create classification pipeline
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classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
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# Classify intent
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text = "add contact John Smith 212-555-0123 john@example.com"
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result = classifier(text)
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print(result)
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# Output: [{'label': 'add_contact', 'score': 0.98}]
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# More examples
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examples = [
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"update phone for Sarah to 555-1234",
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"show all my contacts",
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"delete contact Bob",
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"add note for Alice: Call back tomorrow"
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]
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for text in examples:
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result = classifier(text)
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print(f"{text} → {result[0]['label']} ({result[0]['score']:.2f})")
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```
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## Training Details
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- **Base Model:** roberta-base
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- **Training Dataset:** Custom dataset with contact management commands
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- **Learning Rate:** 2e-5
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- **Batch Size:** 16
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- **Epochs:** 3-5
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- **Optimizer:** AdamW
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## Intended Use
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This model is designed for:
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- Contact management applications
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- Personal assistant bots
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- CRM systems with natural language interface
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- Voice-controlled contact management
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## Limitations
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- Optimized for English language only
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- Best performance on contact management domain
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- May not generalize well to other domains without fine-tuning
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## Example Predictions
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```
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Input: "add new contact John Doe 555-1234 john@email.com"
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Output: add_contact (confidence: 0.99)
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Input: "change email for Sarah to sarah@newmail.com"
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Output: edit_email (confidence: 0.97)
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Input: "show me all contacts"
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Output: show_contacts (confidence: 0.98)
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Input: "delete contact Bob"
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Output: delete_contact (confidence: 0.96)
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Input: "add tag 'work' to Alice"
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Output: add_tag (confidence: 0.95)
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```
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## Model Architecture
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Based on RoBERTa (Robustly Optimized BERT Pretraining Approach):
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- 12 transformer layers
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- 768 hidden dimensions
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- 12 attention heads
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- ~125M parameters
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## Citation
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If you use this model, please cite:
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```bibtex
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@misc{kotenko2025intentclassifier,
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author = {Kotenko, Mykyta},
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title = {Intent Classifier for Contact Management Assistant Bot},
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year = {2025},
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publisher = {Hugging Face},
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howpublished = {\url{https://huggingface.co/mykytakotenko/assistant-bot-intent-classifier}},
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note = {Based on RoBERTa by Facebook AI}
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}
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```
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## Acknowledgments
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- **Base Model:** RoBERTa by Facebook AI Research
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- **Framework:** Hugging Face Transformers
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- **Inspiration:** Contact management and personal assistant applications
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## License
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MIT License - See LICENSE file for details.
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This model is a derivative work based on RoBERTa, which is licensed under MIT License by Facebook, Inc.
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## Contact
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- **Author:** Mykyta Kotenko
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- **Repository:** [assistant-bot](https://github.com/kms-engineer/assistant-bot)
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- **Issues:** Please report issues on GitHub
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checkpoint-1179/config.json
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{
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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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| 6 |
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"bos_token_id": 0,
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| 7 |
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"classifier_dropout": null,
|
| 8 |
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"dtype": "float32",
|
| 9 |
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"eos_token_id": 2,
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| 10 |
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"hidden_act": "gelu",
|
| 11 |
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"hidden_dropout_prob": 0.1,
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| 12 |
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"hidden_size": 768,
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| 13 |
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"id2label": {
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| 14 |
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"0": "add_contact",
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| 15 |
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"1": "edit_phone",
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| 16 |
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"2": "edit_email",
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| 17 |
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"3": "edit_address",
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| 18 |
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"4": "delete_contact",
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| 19 |
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"5": "list_all_contacts",
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| 20 |
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"6": "search_contacts",
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| 21 |
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"7": "add_birthday",
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| 22 |
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"8": "list_birthdays",
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| 23 |
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"9": "add_note",
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| 24 |
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"10": "edit_note",
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| 25 |
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"11": "delete_note",
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| 26 |
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"12": "show_notes",
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| 27 |
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"13": "add_note_tag",
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| 28 |
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"14": "remove_note_tag",
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| 29 |
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"15": "search_notes_text",
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| 30 |
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"16": "search_notes_by_tag",
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| 31 |
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"17": "help",
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| 32 |
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"18": "exit",
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| 33 |
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"19": "hello"
|
| 34 |
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},
|
| 35 |
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"initializer_range": 0.02,
|
| 36 |
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"intermediate_size": 3072,
|
| 37 |
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"label2id": {
|
| 38 |
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"add_birthday": 7,
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| 39 |
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"add_contact": 0,
|
| 40 |
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"add_note": 9,
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| 41 |
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"add_note_tag": 13,
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"delete_contact": 4,
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| 43 |
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"delete_note": 11,
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| 44 |
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"edit_address": 3,
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| 45 |
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"edit_email": 2,
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| 46 |
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"edit_note": 10,
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| 47 |
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"edit_phone": 1,
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| 48 |
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"exit": 18,
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| 49 |
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"hello": 19,
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| 50 |
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"help": 17,
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| 51 |
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"list_all_contacts": 5,
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| 52 |
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"list_birthdays": 8,
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| 53 |
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"remove_note_tag": 14,
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| 54 |
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"search_contacts": 6,
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| 55 |
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"search_notes_by_tag": 16,
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| 56 |
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"search_notes_text": 15,
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"show_notes": 12
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},
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| 59 |
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"layer_norm_eps": 1e-05,
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| 60 |
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"max_position_embeddings": 514,
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"model_type": "roberta",
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| 62 |
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"num_attention_heads": 12,
|
| 63 |
+
"num_hidden_layers": 12,
|
| 64 |
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"pad_token_id": 1,
|
| 65 |
+
"position_embedding_type": "absolute",
|
| 66 |
+
"problem_type": "single_label_classification",
|
| 67 |
+
"transformers_version": "4.57.0",
|
| 68 |
+
"type_vocab_size": 1,
|
| 69 |
+
"use_cache": true,
|
| 70 |
+
"vocab_size": 50265
|
| 71 |
+
}
|
checkpoint-1179/model.safetensors
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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| 2 |
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|
| 3 |
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size 498668192
|
checkpoint-1179/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 997451019
|
checkpoint-1179/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 14455
|
checkpoint-1179/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:7ec190660d99873e82bc04f22cd7f50d3496428963a842ad2ae1e9cd4a99a031
|
| 3 |
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size 1465
|
checkpoint-1179/trainer_state.json
ADDED
|
@@ -0,0 +1,970 @@
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|
| 39 |
+
"add_contact": 0,
|
| 40 |
+
"add_note": 9,
|
| 41 |
+
"add_note_tag": 13,
|
| 42 |
+
"delete_contact": 4,
|
| 43 |
+
"delete_note": 11,
|
| 44 |
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"edit_address": 3,
|
| 45 |
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"edit_email": 2,
|
| 46 |
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"edit_note": 10,
|
| 47 |
+
"edit_phone": 1,
|
| 48 |
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"exit": 18,
|
| 49 |
+
"hello": 19,
|
| 50 |
+
"help": 17,
|
| 51 |
+
"list_all_contacts": 5,
|
| 52 |
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"list_birthdays": 8,
|
| 53 |
+
"remove_note_tag": 14,
|
| 54 |
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"search_contacts": 6,
|
| 55 |
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"search_notes_by_tag": 16,
|
| 56 |
+
"search_notes_text": 15,
|
| 57 |
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"show_notes": 12
|
| 58 |
+
},
|
| 59 |
+
"layer_norm_eps": 1e-05,
|
| 60 |
+
"max_position_embeddings": 514,
|
| 61 |
+
"model_type": "roberta",
|
| 62 |
+
"num_attention_heads": 12,
|
| 63 |
+
"num_hidden_layers": 12,
|
| 64 |
+
"pad_token_id": 1,
|
| 65 |
+
"position_embedding_type": "absolute",
|
| 66 |
+
"problem_type": "single_label_classification",
|
| 67 |
+
"transformers_version": "4.57.0",
|
| 68 |
+
"type_vocab_size": 1,
|
| 69 |
+
"use_cache": true,
|
| 70 |
+
"vocab_size": 50265
|
| 71 |
+
}
|
checkpoint-1310/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
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|
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|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:c4a7120d267e8b923b5542c1ea6aeba65facf08182ea362827113fe36481f4e4
|
| 3 |
+
size 498668192
|
checkpoint-1310/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
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size 997451019
|
checkpoint-1310/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
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|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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|
| 3 |
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size 14455
|
checkpoint-1310/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:ef479fcc9aa8f88124c5b577e46a56b83c9f1415e04b0e4ef3b46ce53586f6bb
|
| 3 |
+
size 1465
|
checkpoint-1310/trainer_state.json
ADDED
|
@@ -0,0 +1,1080 @@
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merges.txt
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model.safetensors
ADDED
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special_tokens_map.json
ADDED
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tokenizer.json
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tokenizer_config.json
ADDED
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ADDED
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