New model from https://wandb.ai/wandb/huggingtweets/runs/724imy81

README.md

@@ -43,19 +43,19 @@ The model was trained on tweets from G2 Esports.
 | Data | G2 Esports |
 | --- | --- |
 | Tweets downloaded | 3250 |
-| Retweets | 343 |
+| Retweets | 342 |
 | Short tweets | 938 |
-| Tweets kept | 1969 |
+| Tweets kept | 1970 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/cuuyfcn6/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/1h6b63sz/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 @g2esports's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1jriv3oe) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/724imy81) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1jriv3oe/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/724imy81/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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