New model from https://wandb.ai/wandb/huggingtweets/runs/2zxivf5m

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/marknorm/1617888328353/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -32,20 +32,20 @@ The model was trained on [@marknorm's tweets](https://twitter.com/marknorm).
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 3247 |
-| Retweets | 143 |
-| Short tweets | 535 |
-| Tweets kept | 2569 |
+| Tweets downloaded | 3213 |
+| Retweets | 138 |
+| Short tweets | 518 |
+| Tweets kept | 2557 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3ppv5ode/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/3s8l6lev/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 @marknorm's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/z92pvirq) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2zxivf5m) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/z92pvirq/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2zxivf5m/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -34,7 +34,7 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.5.0",
+  "transformers_version": "4.5.1",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

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training_args.bin

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