transformers safetensors distilbert token-classification finance dataset:nlpaueb/finer-139 license:mit autotrain_compatible endpoints_compatible region:us
---
datasets:
- nlpaueb/finer-139
library_name: transformers
license: mit
pipeline_tag: token-classification
tags:
- finance
widget:
- text: The loan bears interest at 9.75 % per annum with interest due monthly and
    is secured by a lien on certain of the Company ’ s and its subsidiaries ’ assets
    .
  example_title: Example1
- text: Unused portions of the Credit Facilities bear interest at a rate equal to
    0.25 % per annum .
  example_title: Example2
---

# Model Card for Model ID

This is a NER model built on distillBert for 5 classes of finer139 dataset


## Model Details

### Model Description

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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:** Narahari BM
- **Model type:** NER
- **Finetuned from model [optional]:** DistillBert


![image/png](https://cdn-uploads.huggingface.co/production/uploads/65e2eb5c2b28b798a0249f66/GdH6LpK4Drkd6RT1uw5Do.png)



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## Confusion Matrix


![image/png](https://cdn-uploads.huggingface.co/production/uploads/65e2eb5c2b28b798a0249f66/J0fZEXv5gWKOgeBVKPv75.png)


## Training Details

### Training Data
1. Subsampled train data and obtained the below distribution

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65e2eb5c2b28b798a0249f66/tkCIZUIiEQTyO2bGpttTI.png)

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### Training Procedure 

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#### Preprocessing [optional]

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#### 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 -->

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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### Results

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#### Summary