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deberta-v3-base-encoder-decoder-v0.3
deliciouscat/deberta-v3-base-encoder-decoder-v0.3
deberta-v3-base-encoder-decoder-v0.3 is a machine learning model from deliciouscat. 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.
- deliciouscat/deberta-v3-base-encoder-decoder-v0.2
All-time downloads
293
Public
Parameters
298M
1.2 GB on disk
Likes
0
Public
Repo makeup
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- May 27, 2024
- Updated
- May 27, 2024
- SHA
- 887c9c51
Datasets
Model card
From the Hugging Face model README
Encoder-Decoder model with DeBERTa encoder
pre-trained models
deliciouscat/deberta-v3-base-encoder-decoder-v0.2
-> 297511524(298M) params
Data used
-
HuggingFaceFW/fineweb -
AiHub ko-en translation corpus (English part)
-
Some papers that I kept
Training hparams
-
optimizer: AdamW, lr=3e-5, betas=(0.875, 0.997)
-
batch size: 12
-> training on denoising objective (BART), 29523 step
How to use
from transformers import AutoTokenizer, EncoderDecoderModel
model = EncoderDecoderModel.from_pretrained("deliciouscat/deberta-v3-base-encoder-decoder-v0.3")
tokenizer = AutoTokenizer.from_pretrained("deliciouscat/deberta-v3-base-encoder-decoder-v0.3")
Future work!
-
train more scientific data
-
fine-tune on keyword extraction task
- Library
- transformers
- Type
- encoder-decoder
- Languages
- en
- Created
- May 27, 2024
- Updated
- May 27, 2024