New model from https://wandb.ai/wandb/huggingtweets/runs/2vn0ojxf

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/getfactet/1662309693321/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 GETFact.
 
 | Data | GETFact |
 | --- | --- |
-| Tweets downloaded | 286 |
+| Tweets downloaded | 288 |
 | Retweets | 8 |
 | Short tweets | 64 |
-| Tweets kept | 214 |
+| Tweets kept | 216 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2d9086fw/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/8a1aoflh/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 @getfactet's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2wr8i4lu) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2vn0ojxf) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2wr8i4lu/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2vn0ojxf/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.21.2",
+  "transformers_version": "4.21.3",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

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training_args.bin

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