Upload BertForTokenClassification

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": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-d_",
+    "2": "I-d_",
+    "3": "B-d_positive",
+    "4": "I-d_positive",
+    "5": "B-d_suspicious",
+    "6": "I-d_suspicious",
+    "7": "B-d_negative",
+    "8": "I-d_negative",
+    "9": "B-d_general",
+    "10": "I-d_general",
+    "11": "B-a_",
+    "12": "I-a_",
+    "13": "B-f_",
+    "14": "I-f_",
+    "15": "B-c_",
+    "16": "I-c_",
+    "17": "B-d_other",
+    "18": "I-d_other",
+    "19": "B-timex3_",
+    "20": "I-timex3_",
+    "21": "B-timex3_date",
+    "22": "I-timex3_date",
+    "23": "B-timex3_time",
+    "24": "I-timex3_time",
+    "25": "B-timex3_duration",
+    "26": "I-timex3_duration",
+    "27": "B-timex3_set",
+    "28": "I-timex3_set",
+    "29": "B-timex3_age",
+    "30": "I-timex3_age",
+    "31": "B-timex3_med",
+    "32": "I-timex3_med",
+    "33": "B-timex3_misc",
+    "34": "I-timex3_misc",
+    "35": "B-timex3_CC",
+    "36": "I-timex3_CC",
+    "37": "B-t-test_",
+    "38": "I-t-test_",
+    "39": "B-t-test_executed",
+    "40": "I-t-test_executed",
+    "41": "B-t-test_negated",
+    "42": "I-t-test_negated",
+    "43": "B-t-test_scheduled",
+    "44": "I-t-test_scheduled",
+    "45": "B-t-test_other",
+    "46": "I-t-test_other",
+    "47": "B-t-key_",
+    "48": "I-t-key_",
+    "49": "B-t-key_scheduled",
+    "50": "I-t-key_scheduled",
+    "51": "B-t-val_",
+    "52": "I-t-val_",
+    "53": "B-t-key_other",
+    "54": "I-t-key_other",
+    "55": "B-t-key_executed",
+    "56": "I-t-key_executed",
+    "57": "B-t-key_negated",
+    "58": "I-t-key_negated",
+    "59": "B-m-key_",
+    "60": "I-m-key_",
+    "61": "B-m-key_executed",
+    "62": "I-m-key_executed",
+    "63": "B-m-key_negated",
+    "64": "I-m-key_negated",
+    "65": "B-m-key_scheduled",
+    "66": "I-m-key_scheduled",
+    "67": "B-m-key_other",
+    "68": "I-m-key_other",
+    "69": "B-m-val_",
+    "70": "I-m-val_",
+    "71": "B-m-val_negated",
+    "72": "I-m-val_negated",
+    "73": "B-m-val_executed",
+    "74": "I-m-val_executed",
+    "75": "B-m-val_scheduled",
+    "76": "I-m-val_scheduled",
+    "77": "B-m-val_other",
+    "78": "I-m-val_other",
+    "79": "B-r_scheduled",
+    "80": "I-r_scheduled",
+    "81": "B-r_executed",
+    "82": "I-r_executed",
+    "83": "B-r_negated",
+    "84": "I-r_negated",
+    "85": "B-r_other",
+    "86": "I-r_other",
+    "87": "B-cc_scheduled",
+    "88": "I-cc_scheduled",
+    "89": "B-cc_executed",
+    "90": "I-cc_executed",
+    "91": "B-cc_negated",
+    "92": "I-cc_negated",
+    "93": "B-cc_other",
+    "94": "I-cc_other"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-a_": 11,
+    "B-c_": 15,
+    "B-cc_executed": 89,
+    "B-cc_negated": 91,
+    "B-cc_other": 93,
+    "B-cc_scheduled": 87,
+    "B-d_": 1,
+    "B-d_general": 9,
+    "B-d_negative": 7,
+    "B-d_other": 17,
+    "B-d_positive": 3,
+    "B-d_suspicious": 5,
+    "B-f_": 13,
+    "B-m-key_": 59,
+    "B-m-key_executed": 61,
+    "B-m-key_negated": 63,
+    "B-m-key_other": 67,
+    "B-m-key_scheduled": 65,
+    "B-m-val_": 69,
+    "B-m-val_executed": 73,
+    "B-m-val_negated": 71,
+    "B-m-val_other": 77,
+    "B-m-val_scheduled": 75,
+    "B-r_executed": 81,
+    "B-r_negated": 83,
+    "B-r_other": 85,
+    "B-r_scheduled": 79,
+    "B-t-key_": 47,
+    "B-t-key_executed": 55,
+    "B-t-key_negated": 57,
+    "B-t-key_other": 53,
+    "B-t-key_scheduled": 49,
+    "B-t-test_": 37,
+    "B-t-test_executed": 39,
+    "B-t-test_negated": 41,
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+    "B-t-test_scheduled": 43,
+    "B-t-val_": 51,
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+    "B-timex3_CC": 35,
+    "B-timex3_age": 29,
+    "B-timex3_date": 21,
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+    "B-timex3_med": 31,
+    "B-timex3_misc": 33,
+    "B-timex3_set": 27,
+    "B-timex3_time": 23,
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+    "I-c_": 16,
+    "I-cc_executed": 90,
+    "I-cc_negated": 92,
+    "I-cc_other": 94,
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+    "I-d_negative": 8,
+    "I-d_other": 18,
+    "I-d_positive": 4,
+    "I-d_suspicious": 6,
+    "I-f_": 14,
+    "I-m-key_": 60,
+    "I-m-key_executed": 62,
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+    "I-m-key_other": 68,
+    "I-m-key_scheduled": 66,
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+    "I-m-val_negated": 72,
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+    "I-m-val_scheduled": 76,
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+    "I-t-test_executed": 40,
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+    "I-t-test_scheduled": 44,
+    "I-t-val_": 52,
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+    "I-timex3_time": 24,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32768
+}

model.safetensors

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