rinna
/
japanese-clip-vit-b-16
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

minor fix on readme

This commit is contained in:
mkshing 2022-05-11 11:06:58 +09:00
parent da2e08c95d
commit a7dfb0a85f
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -59,7 +59,7 @@ print("Label probs:", text_probs) # prints: [[1.0, 0.0, 0.0]]
```
# Model architecture
The model was trained a ViT-B/16 Transformer architecture as an image encoder and uses a 12-layer RoBERTa as a text encoder. The text encoder was trained upon the pre-trained Japanese RoBERTa model [rinna/japanese-roberta-base](https://huggingface.co/rinna/japanese-roberta-base) with the same sentencepiece tokenizer.
The model was trained a ViT-B/16 Transformer architecture as an image encoder and uses a 12-layer RoBERTa as a text encoder. The text encoder was trained upon the Japanese pre-trained RoBERTa model [rinna/japanese-roberta-base](https://huggingface.co/rinna/japanese-roberta-base) with the same sentencepiece tokenizer.
# Training
The model was trained on [CC12M](https://github.com/google-research-datasets/conceptual-12m) translated the captions to Japanese.