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