Upload BertForSequenceClassification

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
+
+[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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+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "1.1.1",
+    "1": "1.1.2",
+    "2": "1.1.3",
+    "3": "1.1.4",
+    "4": "1.1.5",
+    "5": "1.1.6",
+    "6": "1.1.7",
+    "7": "1.2.1",
+    "8": "1.2.2",
+    "9": "1.2.3",
+    "10": "1.2.4",
+    "11": "1.2.5",
+    "12": "1.2.6",
+    "13": "1.2.7",
+    "14": "1.2.8",
+    "15": "1.2.9",
+    "16": "1.3.1",
+    "17": "1.3.2",
+    "18": "1.3.3",
+    "19": "1.4.1",
+    "20": "1.4.2",
+    "21": "1.4.3",
+    "22": "1.4.4",
+    "23": "1.5.1",
+    "24": "2.1.1",
+    "25": "2.1.2",
+    "26": "2.2.1",
+    "27": "2.2.2",
+    "28": "2.3.1",
+    "29": "2.3.2",
+    "30": "2.3.3",
+    "31": "2.3.4",
+    "32": "2.4.1",
+    "33": "2.4.2",
+    "34": "2.4.3",
+    "35": "2.4.4",
+    "36": "2.4.5",
+    "37": "2.5.1",
+    "38": "2.5.2",
+    "39": "3.1.1",
+    "40": "3.1.2",
+    "41": "3.1.3",
+    "42": "3.2.1",
+    "43": "3.2.2",
+    "44": "3.3.1",
+    "45": "3.3.2",
+    "46": "3.3.3",
+    "47": "3.3.4",
+    "48": "3.4.1",
+    "49": "3.4.2",
+    "50": "4.1.1",
+    "51": "4.1.2",
+    "52": "4.1.3",
+    "53": "4.2.1",
+    "54": "4.2.2",
+    "55": "4.3.1",
+    "56": "4.3.2",
+    "57": "4.3.3",
+    "58": "4.3.4",
+    "59": "4.4.1",
+    "60": "4.4.2",
+    "61": "5.1.1",
+    "62": "5.1.2",
+    "63": "5.1.3",
+    "64": "5.1.4",
+    "65": "5.1.5",
+    "66": "5.2.1",
+    "67": "5.2.2",
+    "68": "5.2.3",
+    "69": "5.2.4",
+    "70": "5.2.5",
+    "71": "6.1.1",
+    "72": "6.1.2",
+    "73": "6.1.3",
+    "74": "6.1.4",
+    "75": "6.2.1",
+    "76": "6.3.1",
+    "77": "6.3.2",
+    "78": "6.3.3",
+    "79": "6.3.4",
+    "80": "6.3.5",
+    "81": "6.4.1",
+    "82": "6.4.2",
+    "83": "6.4.3",
+    "84": "6.5.1",
+    "85": "6.5.2",
+    "86": "6.5.3",
+    "87": "6.5.4",
+    "88": "6.5.5",
+    "89": "6.5.6",
+    "90": "6.6.1",
+    "91": "6.6.2",
+    "92": "6.6.3",
+    "93": "6.6.4",
+    "94": "6.6.5"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "1.1.1": 0,
+    "1.1.2": 1,
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+    "1.4.3": 21,
+    "1.4.4": 22,
+    "1.5.1": 23,
+    "2.1.1": 24,
+    "2.1.2": 25,
+    "2.2.1": 26,
+    "2.2.2": 27,
+    "2.3.1": 28,
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+    "2.3.3": 30,
+    "2.3.4": 31,
+    "2.4.1": 32,
+    "2.4.2": 33,
+    "2.4.3": 34,
+    "2.4.4": 35,
+    "2.4.5": 36,
+    "2.5.1": 37,
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+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "transformers_version": "4.57.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 105879
+}

model.safetensors

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