Upload MarkupLMForTokenClassification

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
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+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

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+{
+  "_name_or_path": "microsoft/markuplm-base",
+  "architectures": [
+    "MarkupLMForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "",
+    "1": "other",
+    "2": "building.sports_court",
+    "3": "building.sauna",
+    "4": "building.home_office",
+    "5": "for_rent",
+    "6": "building.laundry",
+    "7": "description",
+    "8": "garage_count",
+    "9": "building.garden",
+    "10": "building.gym",
+    "11": "rent_price",
+    "12": "condominium_rate",
+    "13": "building.fireplace",
+    "14": "building.garage",
+    "15": "room_count",
+    "16": "building.heating",
+    "17": "building.storage",
+    "18": "total_area",
+    "19": "building.solar_panel",
+    "20": "sale_price",
+    "21": "address.city",
+    "22": "building.air_conditioning",
+    "23": "building.service_area",
+    "24": "building.doorman",
+    "25": "building.generator",
+    "26": "building.level",
+    "27": "bathroom_count",
+    "28": "property_type",
+    "29": "property_code",
+    "30": "address.neighborhood",
+    "31": "building.playground",
+    "32": "address.number",
+    "33": "building.party_room",
+    "34": "for_sale",
+    "35": "property_tax",
+    "36": "building.total_levels",
+    "37": "building.balcony",
+    "38": "building.terrace",
+    "39": "building.elevator",
+    "40": "building.pool",
+    "41": "building.barbecue",
+    "42": "building.home_theater",
+    "43": "building.gourmet_area",
+    "44": "built_area",
+    "45": "address.state",
+    "46": "building.service_room",
+    "47": "building.wine_cellar",
+    "48": "real_estate",
+    "49": "address.street",
+    "50": "title"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "": 0,
+    "address.city": 21,
+    "address.neighborhood": 30,
+    "address.number": 32,
+    "address.state": 45,
+    "address.street": 49,
+    "bathroom_count": 27,
+    "building.air_conditioning": 22,
+    "building.balcony": 37,
+    "building.barbecue": 41,
+    "building.doorman": 24,
+    "building.elevator": 39,
+    "building.fireplace": 13,
+    "building.garage": 14,
+    "building.garden": 9,
+    "building.generator": 25,
+    "building.gourmet_area": 43,
+    "building.gym": 10,
+    "building.heating": 16,
+    "building.home_office": 4,
+    "building.home_theater": 42,
+    "building.laundry": 6,
+    "building.level": 26,
+    "building.party_room": 33,
+    "building.playground": 31,
+    "building.pool": 40,
+    "building.sauna": 3,
+    "building.service_area": 23,
+    "building.service_room": 46,
+    "building.solar_panel": 19,
+    "building.sports_court": 2,
+    "building.storage": 17,
+    "building.terrace": 38,
+    "building.total_levels": 36,
+    "building.wine_cellar": 47,
+    "built_area": 44,
+    "condominium_rate": 12,
+    "description": 7,
+    "for_rent": 5,
+    "for_sale": 34,
+    "garage_count": 8,
+    "other": 1,
+    "property_code": 29,
+    "property_tax": 35,
+    "property_type": 28,
+    "real_estate": 48,
+    "rent_price": 11,
+    "room_count": 15,
+    "sale_price": 20,
+    "title": 50,
+    "total_area": 18
+  },
+  "layer_norm_eps": 1e-05,
+  "max_depth": 50,
+  "max_position_embeddings": 514,
+  "max_xpath_subs_unit_embeddings": 1024,
+  "max_xpath_tag_unit_embeddings": 256,
+  "model_type": "markuplm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "subs_pad_id": 1001,
+  "tag_pad_id": 216,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.0.dev0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50267,
+  "xpath_unit_hidden_size": 32
+}

model.safetensors

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