omarelsayeed
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Parent(s):
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Upload BertForSequenceClassification
Browse files- README.md +199 -0
- config.json +225 -0
- model.safetensors +3 -0
README.md
ADDED
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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{
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"_name_or_path": "omarelsayeed/Search_Model_PRECHATS_AUGMENTED",
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"_num_labels": 2,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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": 256,
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"id2label": {
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"0": "Not Support 3DSecure",
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"1": "Yellow Card",
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"2": "conversation_end",
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"3": "greeting",
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"4": "\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062a\u0642\u0633\u064a\u0637",
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"5": "\u0627\u0633\u062a\u0631\u062c\u0627\u0639 \u0642\u064a\u0645\u0629 \u0645\u0627\u0644\u064a\u0629",
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"6": "\u0627\u0633\u062a\u0641\u0633\u0627\u0631 \u0639\u0646 \u0627\u0644\u0643\u0627\u0631\u062a",
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"7": "\u0627\u0633\u062a\u0641\u0633\u0627\u0631 \u0639\u0646 \u0639\u0645\u0644\u064a\u0629",
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"8": "\u0627\u0633\u062a\u0644\u0627\u0645 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
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"9": "\u0627\u0634\u062a\u0631\u0627\u0643 \u0646\u0648\u0627\u062f\u064a",
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"10": "\u0627\u0636\u0627\u0641\u0647 \u0643\u0627\u0631\u062a",
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"11": "\u0627\u0644\u0627\u0646\u062a\u0631\u0646\u062a \u0627\u0644\u0645\u0646\u0632\u0644\u064a",
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"12": "\u0627\u0644\u062a\u0623\u0645\u064a\u0646",
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"13": "\u0627\u0644\u062a\u0633\u062c\u064a\u0644 \u0641\u0649 \u0641\u0648\u0631\u064a \u064a\u0648\u0645\u0649",
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"14": "\u0627\u0644\u062a\u0642\u062f\u064a\u0645 \u0639\u0644\u064a \u0627\u0644\u062a\u0642\u0633\u064a\u0637",
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"15": "\u0627\u0644\u062a\u0642\u0633\u064a\u0637 \u0627\u062a\u0631\u0641\u0636",
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"16": "\u0627\u0644\u062a\u0644\u064a\u0641\u0648\u0646 \u0627\u0644\u0623\u0631\u0636\u064a",
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"17": "\u0627\u0644\u0639\u0627\u0628 \u0627\u0648\u0646\u0644\u0627\u064a\u0646",
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"18": "\u0627\u0644\u063a\u0627\u0621 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
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"19": "\u0627\u0644\u0643\u0627\u0631\u062a \u0645\u0636\u0627\u0641 \u0645\u0646 \u0642\u0628\u0644",
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"20": "\u0627\u0644\u0643\u0647\u0631\u0628\u0627\u0621",
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"21": "\u0627\u0644\u0646\u0642\u0627\u0628\u0627\u062a",
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"22": "\u0627\u0644\u0648\u0631\u0642 \u0627\u0644\u0645\u0637\u0644\u0648\u0628 \u0644\u0644\u0643\u0627\u0631\u062a",
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"23": "\u0627\u0645\u0627\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0627\u0631\u062a",
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"24": "\u0627\u0645\u0627\u0643\u0646 \u0627\u0644\u062f\u0641\u0639 \u0628\u0627\u0644\u062a\u0642\u0633\u064a\u0637",
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"25": "\u0627\u0645\u0627\u0643\u0646 \u0641\u0631\u0648\u0639 \u0641\u0648\u0631\u064a",
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"26": "\u0627\u064a\u062f\u0627\u0639 \u0627\u0644\u0643\u0627\u0631\u062a \u0645\u0633\u0645\u0639\u0634",
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"27": "\u0627\u064a\u062f\u0627\u0639 \u0644\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
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"28": "\u0628\u062f\u0644 \u0641\u0627\u0642\u062f \u0627\u0644\u0643\u0627\u0631\u062a",
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43 |
+
"29": "\u0628\u0637\u0627\u0642\u0647 \u0645\u0639\u0644\u0642\u0629 / \u0645\u062d\u0638\u0648\u0631\u0629",
|
44 |
+
"30": "\u062a\u0623\u062e\u064a\u0631 \u062a\u0641\u0639\u064a\u0644 \u0627\u0644\u062a\u0642\u0633\u064a\u0637",
|
45 |
+
"31": "\u062a\u0627\u062e\u064a\u0631 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
46 |
+
"32": "\u062a\u0628\u0631\u0639\u0627\u062a",
|
47 |
+
"33": "\u062a\u062c\u062f\u064a\u062f \u0627\u0644\u0631\u062e\u0635\u0629",
|
48 |
+
"34": "\u062a\u062d\u062f\u064a\u062b \u062d\u0633\u0627\u0628",
|
49 |
+
"35": "\u062a\u062d\u0648\u064a\u0644 \u0645\u0628\u0644\u063a \u0645\u0627\u0644\u064a",
|
50 |
+
"36": "\u062a\u062e\u0637\u0649 \u062d\u062f \u0645\u0633\u0645\u0648\u062d",
|
51 |
+
"37": "\u062a\u0630\u0627\u0643\u0631",
|
52 |
+
"38": "\u062a\u0633\u062c\u064a\u0644 \u062f\u062e\u0648\u0644 \u062d\u0633\u0627\u0628",
|
53 |
+
"39": "\u062a\u0639\u062f\u064a\u0644 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0643\u0627\u0631\u062a",
|
54 |
+
"40": "\u062a\u0639\u0644\u064a\u0645",
|
55 |
+
"41": "\u062a\u063a\u064a\u064a\u0631 \u0644\u064a\u0645\u064a\u062a \u0627\u0644\u0643\u0627\u0631\u062a",
|
56 |
+
"42": "\u062a\u0641\u0639\u064a\u0644 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0623\u0635\u0641\u0631",
|
57 |
+
"43": "\u062a\u0642\u062f\u064a\u0645 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
58 |
+
"44": "\u062a\u0645 \u062e\u0635\u0645 \u0648 \u0641\u0634\u0644 \u0627\u0644\u0639\u0645\u0644\u064a\u0629",
|
59 |
+
"45": "\u062a\u0645\u0648\u064a\u0644 \u0645\u062a\u0646\u0627\u0647\u064a \u0627\u0644\u0635\u063a\u0631",
|
60 |
+
"46": "\u062a\u0648\u0635\u064a\u0644 \u0627\u0644\u0631\u062e\u0635\u0629 \u0644\u0644\u0645\u0646\u0632\u0644",
|
61 |
+
"47": "\u062a\u0648\u0635\u064a\u0644 \u0627\u0644\u0643\u0627\u0631\u062a \u0644\u0644\u0645\u0646\u0632\u0644",
|
62 |
+
"48": "\u062a\u0648\u0635\u064a\u0644 \u0634\u0647\u0627\u062f\u0629 \u0645\u062e\u0627\u0644\u0641\u0627\u062a",
|
63 |
+
"49": "\u062c\u0648\u0627\u0626\u0632",
|
64 |
+
"50": "\u062d\u062f \u0627\u0644\u0633\u062d\u0628 \u0648\u0627\u0644\u0627\u064a\u062f\u0627\u0639",
|
65 |
+
"51": "\u062d\u0630\u0641 \u062d\u0633\u0627\u0628",
|
66 |
+
"52": "\u062d\u0630\u0641 \u0643\u0627\u0631\u062a",
|
67 |
+
"53": "\u062d\u0633\u0627\u0628 \u062c\u062f\u064a\u062f",
|
68 |
+
"54": "\u062d\u0633\u0627\u0628 \u0645\u062d\u0638\u0648\u0631",
|
69 |
+
"55": "\u062e\u062f\u0645\u0627\u062a \u0627\u0644\u0642\u0648\u0627\u062a \u0627\u0644\u0645\u0633\u0644\u062d\u0629",
|
70 |
+
"56": "\u062e\u062f\u0645\u0629 \u0627\u0644\u0639\u0645\u0644\u0627\u0621",
|
71 |
+
"57": "\u062e\u0637\u0623 \u0641\u064a \u062a\u0642\u062f\u064a\u0645 \u0627\u0644\u062a\u0642\u0633\u064a\u0637",
|
72 |
+
"58": "\u062e\u0637\u0627 \u0641\u064a \u0643\u0644\u0645\u0629 \u0627\u0644\u0633\u0631",
|
73 |
+
"59": "\u062f\u0641\u0639 \u0641\u064a\u0633\u0628\u0648\u0643 \u0628\u0627\u0644\u0643\u0627\u0631\u062a",
|
74 |
+
"60": "\u0631\u0633\u0648\u0645 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
75 |
+
"61": "\u0633\u0643\u0646 \u0648\u0639\u0642\u0627\u0631\u0627\u062a",
|
76 |
+
"62": "\u0634\u062d\u0646 \u0627\u0644\u0645\u0648\u0628\u0627\u064a\u0644",
|
77 |
+
"63": "\u0634\u062d\u0646 \u0643\u0627\u0631\u062a \u0627\u0644\u063a\u0627\u0632",
|
78 |
+
"64": "\u0634\u062d\u0646 \u0643\u0627\u0631\u062a \u0627\u0644\u0643\u0647\u0631\u0628\u0627\u0621",
|
79 |
+
"65": "\u0634\u062d\u0646 \u0643\u0627\u0631\u062a \u0627\u0644\u0645\u064a\u0627\u0647",
|
80 |
+
"66": "\u0634\u0631\u0627\u0621 \u0645\u0627\u0643\u064a\u0646\u0629",
|
81 |
+
"67": "\u0634\u0631\u0648\u0637 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
82 |
+
"68": "\u0634\u0643\u0648\u0649 \u0641\u0631\u0648\u0639 \u0641\u0648\u0631\u0649",
|
83 |
+
"69": "\u0637\u0628\u0627\u0639\u0647 \u0641\u0627\u062a\u0648\u0631\u0629",
|
84 |
+
"70": "\u0637\u0631\u064a\u0642\u0629 \u0627\u0636\u0627\u0641\u0629 \u0643\u0627\u0631\u062a",
|
85 |
+
"71": "\u063a\u0627\u0632",
|
86 |
+
"72": "\u0641\u0627\u062a\u0648\u0631\u0629 \u0627\u0644\u0645\u0648\u0628\u0627\u064a\u0644",
|
87 |
+
"73": "\u0641\u0648\u0631\u064a \u0628\u0627\u064a",
|
88 |
+
"74": "\u0641\u0648\u0631\u064a \u062a\u0642\u0633\u064a\u0637",
|
89 |
+
"75": "\u0641\u0648\u0631\u064a \u0644\u0644\u0648\u0633\u0627\u0637\u0629 \u0627\u0644\u062a\u0623\u0645\u064a\u0646\u064a\u0629",
|
90 |
+
"76": "\u0641\u0648\u0631\u064a \u064a\u0648\u0645\u064a",
|
91 |
+
"77": "\u0643\u0627\u0631\u062a \u0645\u0636\u0627\u0641 \u0644\u062d\u0633\u0627\u0628 \u0627\u062e\u0631",
|
92 |
+
"78": "\u0643\u0648\u062f \u0627\u0644\u062a\u0641\u0639\u064a\u0644 \u0644\u0645 \u064a\u0635\u0644",
|
93 |
+
"79": "\u0643\u0648\u062f \u0627\u0644\u062f\u0639\u0648\u0629",
|
94 |
+
"80": "\u0643\u064a\u0641\u064a\u0629 \u062f\u0641\u0639 \u0627\u0644\u0642\u0633\u0637",
|
95 |
+
"81": "\u0644\u064a\u0645\u064a\u062a \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
96 |
+
"82": "\u0645\u062e\u0627\u0644\u0641\u0627\u062a \u0627\u0644\u0645\u0631\u0648\u0631",
|
97 |
+
"83": "\u0645\u062f\u0629 \u0627\u0633\u062a\u0644\u0627\u0645 \u0627\u0644\u0643\u0627\u0631\u062a",
|
98 |
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"84": "\u0645\u062f\u0641\u0648\u0639\u0627\u062a \u0627\u0648\u0646\u0644\u0627\u064a\u0646",
|
99 |
+
"85": "\u0645\u0631\u0627\u062c\u0639\u0629 \u0639\u0642\u062f \u0627\u0644\u0627\u062f\u062e\u0627\u0631",
|
100 |
+
"86": "\u0645\u0633\u062a\u062d\u0642\u0627\u062a \u0627\u0644\u062a\u0642\u0633\u064a\u0637",
|
101 |
+
"87": "\u0645\u0634\u0627\u0643\u0644 \u0641\u0648\u0631\u064a \u064a\u0648\u0645\u064a",
|
102 |
+
"88": "\u0645\u0634\u0643\u0644\u0629 \u0628\u0627\u0633\u0648\u0631\u062f \u0627\u0644\u0643\u0627\u0631\u062a",
|
103 |
+
"89": "\u0645\u0634\u0643\u0644\u0629 \u0628\u0627\u0644\u062a\u0637\u0628\u064a\u0642",
|
104 |
+
"90": "\u0645\u0634\u0643\u0644\u0629 \u062a\u0641\u0639\u064a\u0644 \u0627\u0644\u0643\u0627\u0631\u062a",
|
105 |
+
"91": "\u0645\u0639\u0627\u0645\u0644\u0627\u062a \u062f\u0648\u0644\u064a\u0629",
|
106 |
+
"92": "\u0645\u0639\u0627\u0645\u0644\u0627\u062a \u0645\u0627\u0644\u064a\u0629 \u0648 \u0628\u0646\u0648\u0643",
|
107 |
+
"93": "\u0645\u0648\u0627\u0639\u064a\u062f \u0641\u0631\u0648\u0639 \u0641\u0648\u0631\u064a",
|
108 |
+
"94": "\u0645\u064a\u0627\u0647",
|
109 |
+
"95": "\u0648\u0638\u064a\u0641\u0629"
|
110 |
+
},
|
111 |
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"initializer_range": 0.02,
|
112 |
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"intermediate_size": 1024,
|
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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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|
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|
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|
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|
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|
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|
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|
205 |
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|
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|
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|
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|
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|
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},
|
211 |
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"layer_norm_eps": 1e-12,
|
212 |
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"max_position_embeddings": 512,
|
213 |
+
"model_type": "bert",
|
214 |
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"num_attention_heads": 4,
|
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"num_hidden_layers": 4,
|
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"output_past": true,
|
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"pad_token_id": 0,
|
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"position_embedding_type": "absolute",
|
219 |
+
"problem_type": "single_label_classification",
|
220 |
+
"torch_dtype": "float32",
|
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"transformers_version": "4.44.0",
|
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"type_vocab_size": 2,
|
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"use_cache": true,
|
224 |
+
"vocab_size": 32000
|
225 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9cc6e791346adf762bb77b67258a2456f707668ef10641b843c8db7394c8ba79
|
3 |
+
size 46302712
|