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Bert2Bert_Liputan6_100k_8epoch
Willy030125/Bert2Bert_Liputan6_100k_8epoch
Bert2Bert_Liputan6_100k_8epoch is a machine learning model from Willy030125. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc.
Dataset source: https://huggingface.co/datasets/fajrikoto/idliputan6 <br Model used for Fine Tuning (Encoder-Decoder):<br https://huggingface.co/cahya/bert-base-indonesian-1.5G <br<br Trained on 1x3090 @ 8 epoch (Earl…
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At a glance
- Library
- transformers
- License
- cc
- Model type
- encoder-decoder
- Access
- Public
- Created
- Jul 7, 2024
- Updated
- Jul 16, 2024
- SHA
- 14d991c8
Model card
From the Hugging Face model README
Bert2Bert (Encoder-Decoder) on Liputan6 100k dataset
Dataset source: https://huggingface.co/datasets/fajrikoto/id_liputan6 <br> Model used for Fine Tuning (Encoder-Decoder):<br> https://huggingface.co/cahya/bert-base-indonesian-1.5G <br><br> Trained on 1x3090 @ 8 epoch (EarlyStopping Callbacks)
Train logs, metrics, and params: https://wandb.ai/willy030125/huggingface/runs/sb2kcuck <br> https://www.comet.com/willy030125/huggingface/5dd7c19d0c85472abdf4136529f4322c <br> Eval results and Perplexity: <a href="https://huggingface.co/Willy030125/Bert2Bert_Liputan6_100k_8epoch/blob/main/eval_results.json">eval_results.json</a><br>
Usage:
from transformers import AutoTokenizer, EncoderDecoderModel
tokenizer = AutoTokenizer.from_pretrained("Willy030125/Bert2Bert_Liputan6_100k_8epoch")
model = EncoderDecoderModel.from_pretrained("Willy030125/Bert2Bert_Liputan6_100k_8epoch")
- Library
- transformers
- Type
- encoder-decoder
- License
- cc
- Created
- Jul 7, 2024
- Updated
- Jul 16, 2024