Upload BertForSequenceClassification

README.md

@@ -0,0 +1,201 @@
+---
+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

@@ -0,0 +1,76 @@
+{
+  "_name_or_path": "monologg/kobert",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "\ud3ec\uc778\ud2b8 \uc0ac\uc6a9",
+    "1": "\uc218\uc120/\uc2ec\uc758 \ubb38\uc758",
+    "10": "\uc0c9\uc0c1 \uad50\ud658",
+    "11": "\ud648\ud398\uc774\uc9c0\ubb38\uc758",
+    "12": "\ud589\uc0ac/\uc774\ubca4\ud2b8",
+    "13": "\uc0c1\ud488\ubd88\ub7c9",
+    "14": "\ubc30\uc1a1\uc9c0\uc5f0",
+    "15": "\uc218\uc120\ubb38\uc758",
+    "16": "\uc0ac\uc740\ud488",
+    "17": "\ucfe0\ud3f0/\ud61c\ud0dd\ubb38\uc758",
+    "18": "\uacb0\uc81c\ud655\uc778 \ubc0f \uc624\ub958",
+    "19": "\ud488\uc808/\uc7ac\uc785\uace0\ud655\uc778 \uc694\uccad",
+    "2": "\uacb0\uc81c/\ud658\ubd88\ubb38\uc758",
+    "20": "\ubc18\ud488",
+    "21": "\uc0c1\ud488\uc7ac\uace0\ud655\uc778 \uc694\uccad",
+    "22": "\uad50\ud658",
+    "3": "\uae30\ud504\ud2b8\uce74\ub4dc \uc0ac\uc6a9\ubb38\uc758",
+    "4": "\uc8fc\ubb38/\ud655\uc778\ucde8\uc18c",
+    "5": "\ubc18\ud488\uc2e0\uccad \ucde8\uc18c",
+    "6": "\ubd88\ub7c9 \uad50\ud658",
+    "7": "\uc0c1\ud488\ubb38\uc758",
+    "8": "\ubc30\uc1a1\uad00\ub828",
+    "9": "\ub9c8\uc77c\ub9ac\uc9c0 \ubb38\uc758"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "\uacb0\uc81c/\ud658\ubd88\ubb38\uc758": "2",
+    "\uacb0\uc81c\ud655\uc778 \ubc0f \uc624\ub958": "18",
+    "\uad50\ud658": "22",
+    "\uae30\ud504\ud2b8\uce74\ub4dc \uc0ac\uc6a9\ubb38\uc758": "3",
+    "\ub9c8\uc77c\ub9ac\uc9c0 \ubb38\uc758": "9",
+    "\ubc18\ud488": "20",
+    "\ubc18\ud488\uc2e0\uccad \ucde8\uc18c": "5",
+    "\ubc30\uc1a1\uad00\ub828": "8",
+    "\ubc30\uc1a1\uc9c0\uc5f0": "14",
+    "\ubd88\ub7c9 \uad50\ud658": "6",
+    "\uc0ac\uc740\ud488": "16",
+    "\uc0c1\ud488\ubb38\uc758": "7",
+    "\uc0c1\ud488\ubd88\ub7c9": "13",
+    "\uc0c1\ud488\uc7ac\uace0\ud655\uc778 \uc694\uccad": "21",
+    "\uc0c9\uc0c1 \uad50\ud658": "10",
+    "\uc218\uc120/\uc2ec\uc758 \ubb38\uc758": "1",
+    "\uc218\uc120\ubb38\uc758": "15",
+    "\uc8fc\ubb38/\ud655\uc778\ucde8\uc18c": "4",
+    "\ucfe0\ud3f0/\ud61c\ud0dd\ubb38\uc758": "17",
+    "\ud3ec\uc778\ud2b8 \uc0ac\uc6a9": "0",
+    "\ud488\uc808/\uc7ac\uc785\uace0\ud655\uc778 \uc694\uccad": "19",
+    "\ud589\uc0ac/\uc774\ubca4\ud2b8": "12",
+    "\ud648\ud398\uc774\uc9c0\ubb38\uc758": "11"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 8002
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:409efd3717a6b31009126542ebdc333537018afaccb98178316616d02039d4fb
+size 368841724