Upload BertForSequenceClassification
Browse files- README.md +199 -0
- config.json +71 -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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"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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"dtype": "float32",
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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": "\uac04\uc5fc",
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"1": "\uace8\ub2e4\uacf5\uc99d",
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"2": "\uce58\ub9e4",
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"3": "\ud1f4\ud589\uc131\uadfc\uace8\uaca9\uacc4\uc9c8\ud658",
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"4": "\ub2f9\ub1e8\ubcd1",
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"5": "\ub3d9\ub9e5\uacbd\ud654",
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"6": "\uc2e0\uc7a5\ubcd1",
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"7": "\uc694\ud1b5",
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"8": "\ub958\ub9c8\ud2f0\uc2a4 \uad00\uc808\uc5fc",
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"9": "\uc704\uc7a5\ubcd1",
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| 22 |
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"10": "\ub178\uc778\uc131\ube48\ud608",
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"11": "\ub178\uc778\uc131\uc6b0\uc6b8\uc99d",
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"12": "\ub1cc\ub3d9\ub9e5\ub958",
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"13": "\ubcc0\ube44",
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"14": "\uace0\ud608\uc555",
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"15": "\ub1cc\uc878\uc911",
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"16": "\ud30c\ud0a8\uc2a8\ubcd1",
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"17": "\uc624\uc2ed\uacac",
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"18": "\ud1b5\ud48d",
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"19": "\ub179\ub0b4\uc7a5",
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"20": "\uac11\uc0c1\uc120\uae30\ub2a5\ud56d\uc9c4\uc99d"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"\uac04\uc5fc": 0,
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"\uac11\uc0c1\uc120\uae30\ub2a5\ud56d\uc9c4\uc99d": 20,
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"\uace0\ud608\uc555": 14,
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| 40 |
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"\uace8\ub2e4\uacf5\uc99d": 1,
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| 41 |
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"\ub178\uc778\uc131\ube48\ud608": 10,
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| 42 |
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"\ub178\uc778\uc131\uc6b0\uc6b8\uc99d": 11,
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| 43 |
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"\ub179\ub0b4\uc7a5": 19,
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| 44 |
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"\ub1cc\ub3d9\ub9e5\ub958": 12,
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| 45 |
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"\ub1cc\uc878\uc911": 15,
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| 46 |
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"\ub2f9\ub1e8\ubcd1": 4,
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| 47 |
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"\ub3d9\ub9e5\uacbd\ud654": 5,
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| 48 |
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"\ub958\ub9c8\ud2f0\uc2a4 \uad00\uc808\uc5fc": 8,
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| 49 |
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"\ubcc0\ube44": 13,
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| 50 |
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"\uc2e0\uc7a5\ubcd1": 6,
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| 51 |
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"\uc624\uc2ed\uacac": 17,
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| 52 |
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"\uc694\ud1b5": 7,
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| 53 |
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"\uc704\uc7a5\ubcd1": 9,
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| 54 |
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"\uce58\ub9e4": 2,
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| 55 |
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"\ud1b5\ud48d": 18,
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| 56 |
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"\ud1f4\ud589\uc131\uadfc\uace8\uaca9\uacc4\uc9c8\ud658": 3,
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| 57 |
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"\ud30c\ud0a8\uc2a8\ubcd1": 16
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"transformers_version": "4.56.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 16424
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:28e0f58945a6974b272fa05a3a08164d5c6af0d1ebe896c574f44b56e67c8ced
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size 394707980
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