New model from https://wandb.ai/wandb/huggingtweets/runs/19ikisni

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/tdxf20/1623166609092/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -42,20 +42,20 @@ The model was trained on tweets from mert.
 
 | Data | mert |
 | --- | --- |
-| Tweets downloaded | 1534 |
+| Tweets downloaded | 1556 |
 | Retweets | 181 |
-| Short tweets | 359 |
-| Tweets kept | 994 |
+| Short tweets | 373 |
+| Tweets kept | 1002 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/nefanzle/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/n8yfhw0t/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 @tdxf20's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3ughdr07) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/19ikisni) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3ughdr07/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/19ikisni/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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