New model from https://wandb.ai/wandb/huggingtweets/runs/23lopask

README.md

@@ -32,20 +32,20 @@ The model was trained on [@hunny6ee's tweets](https://twitter.com/hunny6ee).
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 2965 |
-| Retweets | 1787 |
-| Short tweets | 219 |
+| Tweets downloaded | 2972 |
+| Retweets | 1793 |
+| Short tweets | 220 |
 | Tweets kept | 959 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/26si8hd1/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/3jkrci9f/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 @hunny6ee's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3vu1xk0k) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/23lopask) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3vu1xk0k/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/23lopask/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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