New model from https://wandb.ai/wandb/huggingtweets/runs/hk2tlpqp

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from animal crossing event horizon.
 
 | Data | animal crossing event horizon |
 | --- | --- |
-| Tweets downloaded | 3138 |
-| Retweets | 527 |
-| Short tweets | 294 |
-| Tweets kept | 2317 |
+| Tweets downloaded | 3137 |
+| Retweets | 529 |
+| Short tweets | 293 |
+| Tweets kept | 2315 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/vqe7oljl/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/l0ats0rs/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 @home_safe_69's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2ksdgw8c) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/hk2tlpqp) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2ksdgw8c/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/hk2tlpqp/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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