New model from https://wandb.ai/wandb/huggingtweets/runs/1x8aiphn

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/nerv_emma/1617760168033/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -33,19 +33,19 @@ The model was trained on [@nerv_emma's tweets](https://twitter.com/nerv_emma).
 | Data | Quantity |
 | --- | --- |
 | Tweets downloaded | 3228 |
-| Retweets | 347 |
-| Short tweets | 1093 |
-| Tweets kept | 1788 |
+| Retweets | 348 |
+| Short tweets | 1089 |
+| Tweets kept | 1791 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3p2l4t1u/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/2hux32zr/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 @nerv_emma's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/5gaztu4x) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1x8aiphn) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/5gaztu4x/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1x8aiphn/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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