New model from https://wandb.ai/wandb/huggingtweets/runs/3v25r5wc

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/wretched_worm/1660243566631/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -10,7 +10,7 @@ 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/1549614526378942464/-OrpQTVt_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/1565906625994854400/IjFhPHZI_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;)">
@@ -42,20 +42,20 @@ The model was trained on tweets from wretched worm.
 
 | Data | wretched worm |
 | --- | --- |
-| Tweets downloaded | 3234 |
-| Retweets | 389 |
-| Short tweets | 492 |
-| Tweets kept | 2353 |
+| Tweets downloaded | 3229 |
+| Retweets | 453 |
+| Short tweets | 494 |
+| Tweets kept | 2282 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2km5zl6i/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/9vn2j9en/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 @wretched_worm's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1l9m94bd) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3v25r5wc) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1l9m94bd/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3v25r5wc/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.21.1",
+  "transformers_version": "4.25.1",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c62d1c9e0f6c04ad1e5f95c3476b66c821e0c6b00dbad008a17ab2efe22fec6
+oid sha256:a92de353f4842aeef7fddca29fbc4efc48cea8b21d01f96c6138ba68251e149e
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf0498b0b6255730f013b010a8bb3993aa7e61e6f47315dc33720833533d37f8
-size 3375
+oid sha256:fbc2154361d23a450cfba2b185a35c29b44eca382234f6cf2044e8c75ab65287
+size 3439