New model from https://wandb.ai/wandb/huggingtweets/runs/wan7uya3

README.md

@@ -43,19 +43,19 @@ The model was trained on tweets from Elon Musk.
 | Data | Elon Musk |
 | --- | --- |
 | Tweets downloaded | 3192 |
-| Retweets | 175 |
-| Short tweets | 1117 |
-| Tweets kept | 1900 |
+| Retweets | 176 |
+| Short tweets | 1115 |
+| Tweets kept | 1901 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/5dlw117k/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/rmv6hxmq/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 @elonmusk's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/09fhzc4c) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/wan7uya3) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/09fhzc4c/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/wan7uya3/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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