Update README.md

README.md

@@ -1,3 +1,82 @@
 ---
-pipeline_tag: text-classification
----
+language:
+- th
+pipeline_tag: summarization
+tags:
+- text_classification
+- albert
+widget:
+  - text: >-
+      NairiSoft is looking for a highly qualified person
+      with deep knowledge and practical experience in Java programming. The
+      selected candidate will be involved in all stages of the development
+      life cycle.
+    example_title: Current Position Requirments 1
+  - text: >-
+      Ogma Applications is seeking motivated Senior
+      Developers to work on its worldwide projects. The projects are web
+      applications utilizing latest technologies in video webcasting over
+      internet for web browsers, Televisions and telephone systems.
+      In order to succeed in this team, the incumbent must have the passion and
+      energy to work in an entrepreneurial, and fast paced environment. In
+      addition, the Senior Software Engineer must be an experienced senior
+      architect and technical leader with in-depth knowledge of software
+      development processes.
+      As a senior member of the team in Armenia, Senior Software Engineer will
+      be working closely with other developers and peers in the US and other
+      teams around the globe, to analyze, design, develop, test and deliver the
+      best in class software.
+    example_title: Current Position Requirments 2
+    
+  - text: >-
+      Armeconombank OJSC is looking for a .Net Developer to
+      join its team. The Software Developer will take part in design and
+      development projects.
+    example_title: Current Position Requirments 3
+---
+
+
+This repository contains a Albert model designed for text classification. The architecture of the model is based on the Albert Base v2 model.
+
+# Library 
+
+```
+pip install transformers
+pip install sentencepiece
+```
+
+# Example
+```python
+from transformers import AutoModel,AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained('Apizhai/Albert-IT-JobRecommendation', use_fast=False),
+model = AutoModel.from_pretrained('Apizhai/Albert-IT-JobRecommendation')
+```
+
+#  Training hyperparameters 
+The following hyperparameters were used during training:
+- max_seq_length: 128
+- max_length: 128
+- train_batch_size: 4
+- eval_batch_size: 32
+- num_train_epochs: 10
+- evaluate_during_training: False
+- evaluate_during_training_steps: 100
+- use_multiprocessing: False
+- fp16: True
+- save_steps: -1
+- save_eval_checkpoints: False
+- save_model_every_epoch: False
+- no_cache: True
+- reprocess_input_data: True
+- overwrite_output_dir: True
+- preprocess_inputs: False
+- num_return_sequences: 1 
+
+# Score
+- f1-score: 0.82951		
+- macro avg: 0.84748
+- weighted avg: 0.81575
+    
+    
+