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---
language: en
tags:
- summarization
model-index:
- name: yuvraj/summarizer-cnndm
results:
- task:
type: summarization
name: Summarization
dataset:
name: sepidmnorozy/Urdu_sentiment
type: sepidmnorozy/Urdu_sentiment
config: sepidmnorozy--Urdu_sentiment
split: train
metrics:
- name: ROUGE-1
type: rouge
value: 0.0
verified: true
- name: ROUGE-2
type: rouge
value: 0.0
verified: true
- name: ROUGE-L
type: rouge
value: 0.0
verified: true
- name: ROUGE-LSUM
type: rouge
value: 0.0
verified: true
- name: loss
type: loss
value: 10.730116844177246
verified: true
- name: gen_len
type: gen_len
value: 19.9912
verified: true
---
# Summarization
## Model description
BartForConditionalGeneration model fine tuned for summarization on 10000 samples from the cnn-dailymail dataset
## How to use
PyTorch model available
```python
from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
tokenizer = AutoTokenizer.from_pretrained("yuvraj/summarizer-cnndm")
AutoModelWithLMHead.from_pretrained("yuvraj/summarizer-cnndm")
summarizer = pipeline('summarization', model=model, tokenizer=tokenizer)
summarizer("<Text to be summarized>")
## Limitations and bias
Trained on a small dataset
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