New model from https://wandb.ai/wandb/huggingtweets/runs/17qcsqw6

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Verizon.
 | Short tweets | 188 |
 | Tweets kept | 2650 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/142cnvhq/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2rssnlth/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @verizon's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2emnheho) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/17qcsqw6) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2emnheho/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/17qcsqw6/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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