Upload RobertaForSequenceClassification

README.md

@@ -0,0 +1,199 @@
+---
+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

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "model/bea_classifier",
+  "_name_or_path": "model/bea_classifier_v2.1_36",
   "architectures": [
     "RobertaForSequenceClassification"
   ],
@@ -11,42 +11,82 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "Acquisition",
-    "1": "Company_Invest",
-    "2": "Contract",
-    "3": "Government_Invest",
-    "4": "Market_Outlook",
-    "5": "New_Product",
-    "6": "Other",
-    "7": "Partnership",
-    "8": "Sell",
-    "9": "Supply_Environment",
-    "10": "Economic_Trend",
-    "11": "Company_Other",
-    "12": "Regulation",
-    "13": "Company_Finance",
-    "14": "Tech_Adaptation",
-    "15": "Company_Patent"
+    "0": "Academic_Activity",
+    "1": "Acquisition",
+    "2": "Art_Culture",
+    "3": "Company_Company_Partnership",
+    "4": "Company_Compliance_Issues",
+    "5": "Company_Contract",
+    "6": "Company_Event",
+    "7": "Company_Finance",
+    "8": "Company_Governance",
+    "9": "Company_Insight",
+    "10": "Company_Invest",
+    "11": "Company_Government_Partnership",
+    "12": "Company_Patent",
+    "13": "Company_Product_Stop",
+    "14": "Company_Sale",
+    "15": "Company_Startup",
+    "16": "Company_Supply_Disruption",
+    "17": "Company_Workforce_Dynamic",
+    "18": "Competitive_Landscape",
+    "19": "Crypto",
+    "20": "Disaster_ManMade",
+    "21": "Disaster_Natural",
+    "22": "Economic_Indicator_Lagging",
+    "23": "Economic_Indicator_Leading",
+    "24": "Government_Invest",
+    "25": "Government_Policy",
+    "26": "Government_Politic",
+    "27": "Market_Outlook",
+    "28": "Other",
+    "29": "Product_Issues",
+    "30": "Product_Release",
+    "31": "Product_Rumor",
+    "32": "Product_Upgrade",
+    "33": "Sport",
+    "34": "Supply_Environment",
+    "35": "Technology_Usecase"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "Acquisition": 0,
-    "Company_Finance": 13,
-    "Company_Invest": 1,
-    "Company_Other": 11,
-    "Company_Patent": 15,
-    "Contract": 2,
-    "Economic_Trend": 10,
-    "Government_Invest": 3,
-    "Market_Outlook": 4,
-    "New_Product": 5,
-    "Other": 6,
-    "Partnership": 7,
-    "Regulation": 12,
-    "Sell": 8,
-    "Supply_Environment": 9,
-    "Tech_Adaptation": 14
+    "Academic_Activity": 0,
+    "Acquisition": 1,
+    "Art_Culture": 2,
+    "Company_Company_Partnership": 3,
+    "Company_Compliance_Issues": 4,
+    "Company_Contract": 5,
+    "Company_Event": 6,
+    "Company_Finance": 7,
+    "Company_Governance": 8,
+    "Company_Government_Partnership": 11,
+    "Company_Insight": 9,
+    "Company_Invest": 10,
+    "Company_Patent": 12,
+    "Company_Product_Stop": 13,
+    "Company_Sale": 14,
+    "Company_Startup": 15,
+    "Company_Supply_Disruption": 16,
+    "Company_Workforce_Dynamic": 17,
+    "Competitive_Landscape": 18,
+    "Crypto": 19,
+    "Disaster_ManMade": 20,
+    "Disaster_Natural": 21,
+    "Economic_Indicator_Lagging": 22,
+    "Economic_Indicator_Leading": 23,
+    "Government_Invest": 24,
+    "Government_Policy": 25,
+    "Government_Politic": 26,
+    "Market_Outlook": 27,
+    "Other": 28,
+    "Product_Issues": 29,
+    "Product_Release": 30,
+    "Product_Rumor": 31,
+    "Product_Upgrade": 32,
+    "Sport": 33,
+    "Supply_Environment": 34,
+    "Technology_Usecase": 35
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
@@ -57,7 +97,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.31.0",
+  "transformers_version": "4.38.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

model.safetensors

@@ -0,0 +1,3 @@
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+size 498717408