Update README.md

README.md

@@ -1,57 +1,23 @@
 ---
-base_model: MFuyu/llava_clip_llama3_8b_pretrain_8192
+base_model: TIGER-Lab/Mantis-8B-clip-llama3-pretraind
 tags:
-- generated_from_trainer
+- multimodal
+- llava
+- llama3
+- clip
+- lmm
+- vlm
 model-index:
 - name: llava_clip_llama3_8b_finetune_8192
   results: []
+license: llama3
+datasets:
+- TIGER-Lab/Mantis-Instruct
+language:
+- en
+metrics:
+- accuracy
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# llava_clip_llama3_8b_finetune_8192
-
-This model is a fine-tuned version of [MFuyu/llava_clip_llama3_8b_pretrain_8192](https://huggingface.co/MFuyu/llava_clip_llama3_8b_pretrain_8192) on an unknown dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 16
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 128
-- total_eval_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 1.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.39.2
-- Pytorch 2.2.1
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+# Mantis
+[Paper](https://arxiv.org/abs/2405.01483) | [Website](https://tiger-ai-lab.github.io/Mantis/) | [Github](https://github.com/TIGER-AI-Lab/Mantis) | [Models](https://huggingface.co/collections/TIGER-Lab/mantis-6619b0834594c878cdb1d6e4) | [Demo](https://huggingface.co/spaces/TIGER-Lab/Mantis)