New model from https://wandb.ai/wandb/huggingtweets/runs/1mlmhads

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk.
 
 | Data | Elon Musk |
 | --- | --- |
-| Tweets downloaded | 600 |
-| Retweets | 49 |
-| Short tweets | 306 |
-| Tweets kept | 245 |
+| Tweets downloaded | 430 |
+| Retweets | 34 |
+| Short tweets | 279 |
+| Tweets kept | 117 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3r6744p3/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/1dr55e7d/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/ltx53b3d) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1mlmhads) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/ltx53b3d/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1mlmhads/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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