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---
library_name: transformers
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
Fine tuned model to classify customer support request
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Model type:** ALBERT
- **Language(s) (NLP):** English
- **License:** apache-2.0
- **Finetuned from model :** https://huggingface.co./vineetsharma/customer-support-intent-albert
## 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. -->
## 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. -->
https://huggingface.co./datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
https://colab.research.google.com/drive/1RllMjMO_41l0pf0di1guQePpl97Z6M9A#scrollTo=SVjaVFshS-ox
#### Preprocessing [optional]
Dividing dataset 80/20% for finetuning and evaluation
#### Training Hyperparameters
- evaluation_strategy:epoch
- learning_rate: 2e-5
- per_device_train_batch_size: 16
- per_device_eval_batch_size: 16
- num_train_epochs: 3
- weight_decay: 0.01
## Metrics & Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
- eval_loss: 0.005226992070674896
- eval_accuracy: 0.9990697674418605
- eval_runtime: 10.7178
- eval_samples_per_second: 501.504
- eval_steps_per_second: 31.35
- epoch: 3.0
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
20% of "https://huggingface.co./vineetsharma/customer-support-intent-albert" dataset
accuracy