Update README.md

README.md

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-<!-- 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_pretrain_8192
-
-This model is a fine-tuned version of [](https://huggingface.co/) 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: 0.001
-- train_batch_size: 1
-- eval_batch_size: 8
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 32
-- total_train_batch_size: 256
-- total_eval_batch_size: 64
-- 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 4.40.0
-- Pytorch 2.2.1
-- Datasets 2.17.1
-- Tokenizers 0.19.1
+**See the Mantis-Instruct fine-tuned version here [TIGER-Lab/Mantis-8B-clip-llama3](https://huggingface.co/TIGER-Lab/Mantis-8B-clip-llama3). This checkpoint is just for experiments reproduction and does not serve as a functional model**