New model from https://wandb.ai/wandb/huggingtweets/runs/lmaa9dgx

README.md

@@ -44,18 +44,18 @@ The model was trained on tweets from *.
 | --- | --- |
 | Tweets downloaded | 3081 |
 | Retweets | 297 |
-| Short tweets | 1076 |
-| Tweets kept | 1708 |
+| Short tweets | 1075 |
+| Tweets kept | 1709 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/jt4vdnmc/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/7czlaish/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 @so_1onely's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zxgbg10x) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/lmaa9dgx) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zxgbg10x/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/lmaa9dgx/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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