Fix MLM checkpoint in write-up

sections/mlm_intro.md

@@ -1,4 +1,4 @@
-This demo uses a [CLIP-Vision-Bert model checkpoint](https://huggingface.co/flax-community/clip-vision-bert-cc12m-60k) pre-trained using text-only Masked LM on approximately 10 million image-text pairs taken from the [Conceptual 12M dataset](https://github.com/google-research-datasets/conceptual-12m) translated using [MBart](https://huggingface.co/transformers/model_doc/mbart.html). The translations are performed in the following four languages: English, French, German and Spanish, giving 2.5M examples in each language.
+This demo uses a [CLIP-Vision-Bert model checkpoint](https://huggingface.co/flax-community/clip-vision-bert-cc12m-70k) pre-trained using text-only Masked LM on approximately 10 million image-text pairs taken from the [Conceptual 12M dataset](https://github.com/google-research-datasets/conceptual-12m) translated using [MBart](https://huggingface.co/transformers/model_doc/mbart.html). The translations are performed in the following four languages: English, French, German and Spanish, giving 2.5M examples in each language.
 
 The model can be used for mask-filling as shown in this demo. The caption can be present or written in any of the following: English, French, German and Spanish.
 

sections/mlm_usage.md

@@ -1,4 +1,4 @@
-- This demo loads the `FlaxCLIPVisionBertForMaskedLM` present in the `model` directory of this repository. The checkpoint is loaded from [`flax-community/clip-vision-bert-cc12m-60k`](https://huggingface.co/flax-community/clip-vision-bert-cc12m-60k) which is pre-trained checkpoint with 60k steps. 
+- This demo loads the `FlaxCLIPVisionBertForMaskedLM` present in the `model` directory of this repository. The checkpoint is loaded from [`flax-community/clip-vision-bert-cc12m-70k`](https://huggingface.co/flax-community/clip-vision-bert-cc12m-70k) which is pre-trained checkpoint with 70k steps. 
 
 - 100 random validation set examples are present in the `cc12m_data/vqa_val.tsv` with respective images in the `cc12m_data/images_data` directory.