Upload BertForSequenceClassification
Browse files- README.md +199 -0
- config.json +225 -0
- model.safetensors +3 -0
README.md
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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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| 22 |
+
"8": "\u0627\u0633\u062a\u0644\u0627\u0645 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
| 23 |
+
"9": "\u0627\u0634\u062a\u0631\u0627\u0643 \u0646\u0648\u0627\u062f\u064a",
|
| 24 |
+
"10": "\u0627\u0636\u0627\u0641\u0647 \u0643\u0627\u0631\u062a",
|
| 25 |
+
"11": "\u0627\u0644\u0627\u0646\u062a\u0631\u0646\u062a \u0627\u0644\u0645\u0646\u0632\u0644\u064a",
|
| 26 |
+
"12": "\u0627\u0644\u062a\u0623\u0645\u064a\u0646",
|
| 27 |
+
"13": "\u0627\u0644\u062a\u0633\u062c\u064a\u0644 \u0641\u0649 \u0641\u0648\u0631\u064a \u064a\u0648\u0645\u0649",
|
| 28 |
+
"14": "\u0627\u0644\u062a\u0642\u062f\u064a\u0645 \u0639\u0644\u064a \u0627\u0644\u062a\u0642\u0633\u064a\u0637",
|
| 29 |
+
"15": "\u0627\u0644\u062a\u0642\u0633\u064a\u0637 \u0627\u062a\u0631\u0641\u0636",
|
| 30 |
+
"16": "\u0627\u0644\u062a\u0644\u064a\u0641\u0648\u0646 \u0627\u0644\u0623\u0631\u0636\u064a",
|
| 31 |
+
"17": "\u0627\u0644\u0639\u0627\u0628 \u0627\u0648\u0646\u0644\u0627\u064a\u0646",
|
| 32 |
+
"18": "\u0627\u0644\u063a\u0627\u0621 \u0627\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
| 33 |
+
"19": "\u0627\u0644\u0643\u0627\u0631\u062a \u0645\u0636\u0627\u0641 \u0645\u0646 \u0642\u0628\u0644",
|
| 34 |
+
"20": "\u0627\u0644\u0643\u0647\u0631\u0628\u0627\u0621",
|
| 35 |
+
"21": "\u0627\u0644\u0646\u0642\u0627\u0628\u0627\u062a",
|
| 36 |
+
"22": "\u0627\u0644\u0648\u0631\u0642 \u0627\u0644\u0645\u0637\u0644\u0648\u0628 \u0644\u0644\u0643\u0627\u0631\u062a",
|
| 37 |
+
"23": "\u0627\u0645\u0627\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0627\u0631\u062a",
|
| 38 |
+
"24": "\u0627\u0645\u0627\u0643\u0646 \u0627\u0644\u062f\u0641\u0639 \u0628\u0627\u0644\u062a\u0642\u0633\u064a\u0637",
|
| 39 |
+
"25": "\u0627\u0645\u0627\u0643\u0646 \u0641\u0631\u0648\u0639 \u0641\u0648\u0631\u064a",
|
| 40 |
+
"26": "\u0627\u064a\u062f\u0627\u0639 \u0627\u0644\u0643\u0627\u0631\u062a \u0645\u0633\u0645\u0639\u0634",
|
| 41 |
+
"27": "\u0627\u064a\u062f\u0627\u0639 \u0644\u0644\u0643\u0627\u0631\u062a \u0627\u0644\u0627\u0635\u0641\u0631",
|
| 42 |
+
"28": "\u0628\u062f\u0644 \u0641\u0627\u0642\u062f \u0627\u0644\u0643\u0627\u0631\u062a",
|
| 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 |
+
"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 |
+
"initializer_range": 0.02,
|
| 112 |
+
"intermediate_size": 1024,
|
| 113 |
+
"label2id": {
|
| 114 |
+
"LABEL_0": 0,
|
| 115 |
+
"LABEL_1": 1,
|
| 116 |
+
"LABEL_10": 10,
|
| 117 |
+
"LABEL_11": 11,
|
| 118 |
+
"LABEL_12": 12,
|
| 119 |
+
"LABEL_13": 13,
|
| 120 |
+
"LABEL_14": 14,
|
| 121 |
+
"LABEL_15": 15,
|
| 122 |
+
"LABEL_16": 16,
|
| 123 |
+
"LABEL_17": 17,
|
| 124 |
+
"LABEL_18": 18,
|
| 125 |
+
"LABEL_19": 19,
|
| 126 |
+
"LABEL_2": 2,
|
| 127 |
+
"LABEL_20": 20,
|
| 128 |
+
"LABEL_21": 21,
|
| 129 |
+
"LABEL_22": 22,
|
| 130 |
+
"LABEL_23": 23,
|
| 131 |
+
"LABEL_24": 24,
|
| 132 |
+
"LABEL_25": 25,
|
| 133 |
+
"LABEL_26": 26,
|
| 134 |
+
"LABEL_27": 27,
|
| 135 |
+
"LABEL_28": 28,
|
| 136 |
+
"LABEL_29": 29,
|
| 137 |
+
"LABEL_3": 3,
|
| 138 |
+
"LABEL_30": 30,
|
| 139 |
+
"LABEL_31": 31,
|
| 140 |
+
"LABEL_32": 32,
|
| 141 |
+
"LABEL_33": 33,
|
| 142 |
+
"LABEL_34": 34,
|
| 143 |
+
"LABEL_35": 35,
|
| 144 |
+
"LABEL_36": 36,
|
| 145 |
+
"LABEL_37": 37,
|
| 146 |
+
"LABEL_38": 38,
|
| 147 |
+
"LABEL_39": 39,
|
| 148 |
+
"LABEL_4": 4,
|
| 149 |
+
"LABEL_40": 40,
|
| 150 |
+
"LABEL_41": 41,
|
| 151 |
+
"LABEL_42": 42,
|
| 152 |
+
"LABEL_43": 43,
|
| 153 |
+
"LABEL_44": 44,
|
| 154 |
+
"LABEL_45": 45,
|
| 155 |
+
"LABEL_46": 46,
|
| 156 |
+
"LABEL_47": 47,
|
| 157 |
+
"LABEL_48": 48,
|
| 158 |
+
"LABEL_49": 49,
|
| 159 |
+
"LABEL_5": 5,
|
| 160 |
+
"LABEL_50": 50,
|
| 161 |
+
"LABEL_51": 51,
|
| 162 |
+
"LABEL_52": 52,
|
| 163 |
+
"LABEL_53": 53,
|
| 164 |
+
"LABEL_54": 54,
|
| 165 |
+
"LABEL_55": 55,
|
| 166 |
+
"LABEL_56": 56,
|
| 167 |
+
"LABEL_57": 57,
|
| 168 |
+
"LABEL_58": 58,
|
| 169 |
+
"LABEL_59": 59,
|
| 170 |
+
"LABEL_6": 6,
|
| 171 |
+
"LABEL_60": 60,
|
| 172 |
+
"LABEL_61": 61,
|
| 173 |
+
"LABEL_62": 62,
|
| 174 |
+
"LABEL_63": 63,
|
| 175 |
+
"LABEL_64": 64,
|
| 176 |
+
"LABEL_65": 65,
|
| 177 |
+
"LABEL_66": 66,
|
| 178 |
+
"LABEL_67": 67,
|
| 179 |
+
"LABEL_68": 68,
|
| 180 |
+
"LABEL_69": 69,
|
| 181 |
+
"LABEL_7": 7,
|
| 182 |
+
"LABEL_70": 70,
|
| 183 |
+
"LABEL_71": 71,
|
| 184 |
+
"LABEL_72": 72,
|
| 185 |
+
"LABEL_73": 73,
|
| 186 |
+
"LABEL_74": 74,
|
| 187 |
+
"LABEL_75": 75,
|
| 188 |
+
"LABEL_76": 76,
|
| 189 |
+
"LABEL_77": 77,
|
| 190 |
+
"LABEL_78": 78,
|
| 191 |
+
"LABEL_79": 79,
|
| 192 |
+
"LABEL_8": 8,
|
| 193 |
+
"LABEL_80": 80,
|
| 194 |
+
"LABEL_81": 81,
|
| 195 |
+
"LABEL_82": 82,
|
| 196 |
+
"LABEL_83": 83,
|
| 197 |
+
"LABEL_84": 84,
|
| 198 |
+
"LABEL_85": 85,
|
| 199 |
+
"LABEL_86": 86,
|
| 200 |
+
"LABEL_87": 87,
|
| 201 |
+
"LABEL_88": 88,
|
| 202 |
+
"LABEL_89": 89,
|
| 203 |
+
"LABEL_9": 9,
|
| 204 |
+
"LABEL_90": 90,
|
| 205 |
+
"LABEL_91": 91,
|
| 206 |
+
"LABEL_92": 92,
|
| 207 |
+
"LABEL_93": 93,
|
| 208 |
+
"LABEL_94": 94,
|
| 209 |
+
"LABEL_95": 95
|
| 210 |
+
},
|
| 211 |
+
"layer_norm_eps": 1e-12,
|
| 212 |
+
"max_position_embeddings": 512,
|
| 213 |
+
"model_type": "bert",
|
| 214 |
+
"num_attention_heads": 4,
|
| 215 |
+
"num_hidden_layers": 4,
|
| 216 |
+
"output_past": true,
|
| 217 |
+
"pad_token_id": 0,
|
| 218 |
+
"position_embedding_type": "absolute",
|
| 219 |
+
"problem_type": "single_label_classification",
|
| 220 |
+
"torch_dtype": "float32",
|
| 221 |
+
"transformers_version": "4.44.0",
|
| 222 |
+
"type_vocab_size": 2,
|
| 223 |
+
"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
|