Update README.md

README.md

@@ -3,6 +3,36 @@ tags:
 - clip
 library_name: open_clip
 pipeline_tag: zero-shot-image-classification
-license: mit
+license: [apache-2.0]
 ---
-# Model card for llm-jp-roberta-ViT-L-14-relaion-1.5B-lr5e-4-bs8k-accum4-20241218-epoch90
+# Model Card for llm-jp-roberta-ViT-L-14-relaion-1.5B-lr5e-4-bs8k-accum4-20241218-epoch90
+
+# Model Details
+
+A CLIP ViT-L/14 model trained using [OpenCLIP](https://github.com/mlfoundations/open_clip) with the Japanese translation of the English subset of ReLAION-5B (https://huggingface.co/datasets/laion/relaion2B-en-research-safe), translated by [gemma-2-9b-it](https://huggingface.co/datasets/laion/relaion2B-en-research-safe).
+
+# How to Use
+
+
+# Training Details
+
+## Model Architecture
+
+- Text Encoder: RoBERTa base with llm-jp-tokenizer
+- Image Encoder: ViT-L/14
+
+## Training Data
+
+We used a Japanese-translated version of the relaion2B-en-research-safe dataset.
+The translation was performed using gemma-2-9b-it.
+Due to a 70% success rate in image downloads, the dataset size was 1.45 billion samples, and we processed it over 9 epochs (13 billion samples in total).
+
+# Evaluation
+
+# Citation
+
+Bibtex:
+```
+```
+
+