New model from https://wandb.ai/wandb/huggingtweets/runs/3orysshx

README.md

@@ -10,17 +10,17 @@ widget:
 <div class="inline-flex flex-col" style="line-height: 1.5;">
     <div class="flex">
         <div
-			style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1552729971956727808/zVaFH3ex_400x400.jpg&#39;)">
+			style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1571653458972794884/eaxhUsib_400x400.jpg&#39;)">
         </div>
         <div
-            style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1571653458972794884/eaxhUsib_400x400.jpg&#39;)">
+            style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1552729971956727808/zVaFH3ex_400x400.jpg&#39;)">
         </div>
         <div
             style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
         </div>
     </div>
     <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI CYBORG 🤖</div>
-    <div style="text-align: center; font-size: 16px; font-weight: 800">🌞 & oskcar</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">oskcar & 🌞</div>
     <div style="text-align: center; font-size: 14px;">@big___oven-raspberryl0ver</div>
 </div>
 
@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
 
 ## Training data
 
-The model was trained on tweets from 🌞 & oskcar.
+The model was trained on tweets from oskcar & 🌞.
 
-| Data | 🌞 | oskcar |
+| Data | oskcar | 🌞 |
 | --- | --- | --- |
-| Tweets downloaded | 1475 | 2667 |
-| Retweets | 312 | 633 |
-| Short tweets | 170 | 308 |
-| Tweets kept | 993 | 1726 |
+| Tweets downloaded | 2755 | 1689 |
+| Retweets | 667 | 385 |
+| Short tweets | 317 | 192 |
+| Tweets kept | 1771 | 1112 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2mk9khrm/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/36yboi59/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 @big___oven-raspberryl0ver's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1qhplyz8) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3orysshx) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1qhplyz8/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3orysshx/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ad72dafad60d442bf610d4d7722a204c84421760ca6d6bec1d2c9a3c83e08fbe
+oid sha256:dd98feb54d1479bd7acaa2dd91a536377075006d555e29fe8b663eaa3201805e
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:916a4074f1afa9b8123be3843b39b8276188b9118333a3a3afd1ee591b38b79c
+oid sha256:7242d19039f2683310091512857445b72a1411db2b5540c5d43f6b35e3bdd934
 size 3439