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---
library_name: transformers
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
license: mit
datasets:
- nlpaueb/finer-139
pipeline_tag: token-classification
---
# Model Card for Model ID
This is a NER model built on distillBert for 5 classes of finer139 dataset
## 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:** Narahari BM
- **Model type:** NER
- **Finetuned from model [optional]:** DistillBert
[More Information Needed]
## Confusion Matrix
## Training Details
### Training Data
1. Subsampled train data and obtained the below distribution
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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 -->
#### Speeds, Sizes, Times [optional]
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## Evaluation
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### Testing Data, Factors & Metrics
#### Testing Data
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#### Factors
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#### Metrics
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### Results
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#### Summary |