New model from https://wandb.ai/wandb/huggingtweets/runs/w5ee2xkp

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/wherewasmybrain/1614135603716/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 [@wherewasmybrain's tweets](https://twitter.com/wherewa
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 2456 |
-| Retweets | 526 |
-| Short tweets | 231 |
-| Tweets kept | 1699 |
+| Tweets downloaded | 2458 |
+| Retweets | 525 |
+| Short tweets | 232 |
+| Tweets kept | 1701 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1jrnhc9l/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/242ri4rf/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 @wherewasmybrain's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/19a09owe) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/w5ee2xkp) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/19a09owe/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/w5ee2xkp/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -34,7 +34,7 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.3.2",
+  "transformers_version": "4.3.3",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:324d3f63fe2252a4b364ff45dbeaadc69a8d18a97da2f0f2846da16f77549208
+oid sha256:3a26ef589adb2f54a4c21ed588b02def70c2a26e8f25d03ecfc9934b2e549f3b
 size 510408315

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bc7ec20ea826a1eae243bd1474a9dc61111f34f881365894ac2d3b6bfed5a46c
+oid sha256:b8cc5ba7c72097295ffdeed962921d54669296f58cf6da8b73da00d7e23175b7
 size 2159