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Bert2Bert_Liputan6_100k_10epoch_IndoBERT
Willy030125/Bert2Bert_Liputan6_100k_10epoch_IndoBERT
Bert2Bert_Liputan6_100k_10epoch_IndoBERT 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/indolem/indobert-base-uncased <br<br Trained on 1x3090 @ 8 epoch (EarlyS…
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At a glance
- Library
- transformers
- License
- cc
- Model type
- encoder-decoder
- Access
- Public
- Created
- Jul 12, 2024
- Updated
- Jul 16, 2024
- SHA
- 258ca10c
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/indolem/indobert-base-uncased <br><br> Trained on 1x3090 @ 8 epoch (EarlyStopping Callbacks)
Train logs, metrics, and params: https://wandb.ai/willy030125/huggingface/runs/2qk3jtic <br> https://www.comet.com/willy030125/huggingface/560ed6ccde1240c8b4401918fd27253a <br> Eval results and Perplexity: <a href="https://huggingface.co/Willy030125/Bert2Bert_Liputan6_100k_10epoch_IndoBERT/blob/main/eval_results.json">eval_results.json</a><br>
Usage:
from transformers import AutoTokenizer, EncoderDecoderModel
tokenizer = AutoTokenizer.from_pretrained("Willy030125/Bert2Bert_Liputan6_100k_10epoch_IndoBERT")
model = EncoderDecoderModel.from_pretrained("Willy030125/Bert2Bert_Liputan6_100k_10epoch_IndoBERT")
- Library
- transformers
- Type
- encoder-decoder
- License
- cc
- Created
- Jul 12, 2024
- Updated
- Jul 16, 2024