philschmid / bart-large-cnn-samsum

huggingface.co
Total runs: 112.0K
24-hour runs: -1.8K
7-day runs: -8.0K
30-day runs: -9.3K
Model's Last Updated: December 24 2022
summarization

Introduction of bart-large-cnn-samsum

Model Details of bart-large-cnn-samsum

bart-large-cnn-samsum

If you want to use the model you should try a newer fine-tuned FLAN-T5 version philschmid/flan-t5-base-samsum out socring the BART version with +6 on ROGUE1 achieving 47.24 .

TRY philschmid/flan-t5-base-samsum

This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.

For more information look at:

Hyperparameters
{
    "dataset_name": "samsum",
    "do_eval": true,
    "do_predict": true,
    "do_train": true,
    "fp16": true,
    "learning_rate": 5e-05,
    "model_name_or_path": "facebook/bart-large-cnn",
    "num_train_epochs": 3,
    "output_dir": "/opt/ml/model",
    "per_device_eval_batch_size": 4,
    "per_device_train_batch_size": 4,
    "predict_with_generate": true,
    "seed": 7
}
Usage
from transformers import pipeline
summarizer = pipeline("summarization", model="philschmid/bart-large-cnn-samsum")

conversation = '''Jeff: Can I train a 🤗 Transformers model on Amazon SageMaker? 
Philipp: Sure you can use the new Hugging Face Deep Learning Container. 
Jeff: ok.
Jeff: and how can I get started? 
Jeff: where can I find documentation? 
Philipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face                                           
'''
summarizer(conversation)
Results
key value
eval_rouge1 42.621
eval_rouge2 21.9825
eval_rougeL 33.034
eval_rougeLsum 39.6783
test_rouge1 41.3174
test_rouge2 20.8716
test_rougeL 32.1337
test_rougeLsum 38.4149

Runs of philschmid bart-large-cnn-samsum on huggingface.co

112.0K
Total runs
-1.8K
24-hour runs
-3.8K
3-day runs
-8.0K
7-day runs
-9.3K
30-day runs

More Information About bart-large-cnn-samsum huggingface.co Model

More bart-large-cnn-samsum license Visit here:

https://choosealicense.com/licenses/mit

bart-large-cnn-samsum huggingface.co

bart-large-cnn-samsum huggingface.co is an AI model on huggingface.co that provides bart-large-cnn-samsum's model effect (), which can be used instantly with this philschmid bart-large-cnn-samsum model. huggingface.co supports a free trial of the bart-large-cnn-samsum model, and also provides paid use of the bart-large-cnn-samsum. Support call bart-large-cnn-samsum model through api, including Node.js, Python, http.

bart-large-cnn-samsum huggingface.co Url

https://huggingface.co/philschmid/bart-large-cnn-samsum

philschmid bart-large-cnn-samsum online free

bart-large-cnn-samsum huggingface.co is an online trial and call api platform, which integrates bart-large-cnn-samsum's modeling effects, including api services, and provides a free online trial of bart-large-cnn-samsum, you can try bart-large-cnn-samsum online for free by clicking the link below.

philschmid bart-large-cnn-samsum online free url in huggingface.co:

https://huggingface.co/philschmid/bart-large-cnn-samsum

bart-large-cnn-samsum install

bart-large-cnn-samsum is an open source model from GitHub that offers a free installation service, and any user can find bart-large-cnn-samsum on GitHub to install. At the same time, huggingface.co provides the effect of bart-large-cnn-samsum install, users can directly use bart-large-cnn-samsum installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

bart-large-cnn-samsum install url in huggingface.co:

https://huggingface.co/philschmid/bart-large-cnn-samsum

Url of bart-large-cnn-samsum

bart-large-cnn-samsum huggingface.co Url

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