Update README

README.md

@@ -9,13 +9,13 @@ datasets:
 - wikitext
 ---
 
-## XLM-R Longformer Model  / XLM-Long 
+## XLM-R Longformer Model
 This is an XLM-RoBERTa longformer model that was pre-trained from the XLM-RoBERTa checkpoint using the Longformer [pre-training scheme](https://github.com/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb) on the English WikiText-103 corpus.     
 
-This model is identical to [markussagen's xlm-r longformer model,](https://huggingface.co/markussagen/xlm-roberta-longformer-base-4096) the difference being that the weights have been transferred to a Longformer model, in order to enable loading with ```AutoModel.from_pretrained()``` without the need for external libraries.
+This model is identical to [markussagen's xlm-r longformer model,](https://huggingface.co/markussagen/xlm-roberta-longformer-base-4096) the difference being that the weights have been transferred to a Longformer model, in order to enable loading with ```AutoModel.from_pretrained()``` without external dependencies.
 
 ## Memory Requirements
-Note that this model requires a considerable amount of memory to run. The heatmap below should give a relative idea of the amount of memory needed for a target batch and sequence length. N.B. Data for this plot was generated by running on a single a100 GPU with 40gb of memory.
+Note that this model requires a considerable amount of memory to run. The heatmap below should give a relative idea of the amount of memory needed at inference for a target batch and sequence length. N.B. data for this plot was generated by running on a single a100 GPU with 40gb of memory.
 
 <details>
 <summary>View Inference Memory Plot</summary>