Update README.md

README.md

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  I agree to use this model for non-commercial use ONLY: checkbox
- I agree to not use the model to conduct experiments that cause harm to human subjects: checkbox
+ I agree not to use the model to conduct experiments that cause harm to human subjects: checkbox
 
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 # PassGPT
 
-PassGPT is a causal language model trained on password leaks. It was first introduced in [this paper](https://arxiv.org/abs/2306.01545). This version of the model was trained on passwords from the RockYou leak, which were at most 10 characters long. If you need access to PassGPT trained on passwords up to 16 characters long, please contact our team.
+PassGPT is a causal language model trained on password leaks. It was first introduced in [this paper](https://arxiv.org/abs/2306.01545). This version of the model was trained on passwords from the RockYou leak, after filtering those that were at most 10 characters long. If you need access to PassGPT trained on passwords up to 16 characters long, please get in touch with our team.
 
 ### Usage and License Notices
 [![License](https://img.shields.io/badge/License-CC%20By%20NC%204.0-yellow)](https://github.com/javirandor/passbert/blob/main/LICENSE)
-PassGPT is intended and licensed for research use only. The model and code are CC BY NC 4.0 (allowing only non-commercial use) and should not be used outside of research purposes. This material should never be used to attack real systems.
+PassGPT is intended and licensed for research use only. The model and code are CC BY NC 4.0 (allowing only non-commercial use) and should not be used outside of research purposes. This model should never be used to attack real systems.
 
 ### Model description
 
-The model inherits the [GPT2LMHeadModel](https://huggingface.co/docs/transformers/model_doc/gpt2#transformers.GPT2LMHeadModel) architecture and implements a custom [BertTokenizer](https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertTokenizer) that encodes each character in a password as a single token, avoiding merges. It was trained from a random initialization and the code for training can be found in the [official repository](https://github.com/javirandor/passgpt/).
+The model inherits the [GPT2LMHeadModel](https://huggingface.co/docs/transformers/model_doc/gpt2#transformers.GPT2LMHeadModel) architecture and implements a custom [BertTokenizer](https://huggingface.co/docs/transformers/model_doc/bert#transformers.BertTokenizer) that encodes each character in a password as a single token, avoiding merges. It was trained from a random initialization, and the code for training can be found in the [official repository](https://github.com/javirandor/passgpt/).
 
 ### Password Generation