New model from https://wandb.ai/wandb/huggingtweets/runs/3fa2u6ro

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/wretched_worm/1645630135698/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -20,7 +20,7 @@ widget:
         </div>
     </div>
     <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
-    <div style="text-align: center; font-size: 16px; font-weight: 800">wretched worm (⛲️, ⛲️)</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">wretched worm</div>
     <div style="text-align: center; font-size: 14px;">@wretched_worm</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 wretched worm (⛲️, ⛲️).
+The model was trained on tweets from wretched worm.
 
-| Data | wretched worm (⛲️, ⛲️) |
+| Data | wretched worm |
 | --- | --- |
-| Tweets downloaded | 3225 |
-| Retweets | 317 |
-| Short tweets | 581 |
-| Tweets kept | 2327 |
+| Tweets downloaded | 3218 |
+| Retweets | 310 |
+| Short tweets | 566 |
+| Tweets kept | 2342 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2gm7erdz/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/1ogh1vtq/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/1akwlae6) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3fa2u6ro) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1akwlae6/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3fa2u6ro/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.16.2",
+  "transformers_version": "4.17.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:0ea2f1c4ec3acb45b3a51535ef1da2f712c33200941bfdfc4e6138c5b98b201d
+size 510404393

tokenizer.json

@@ -5,12 +5,12 @@
   "added_tokens": [
     {
       "id": 50256,
-      "special": true,
       "content": "<|endoftext|>",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": false
+      "normalized": false,
+      "special": true
     }
   ],
   "normalizer": null,

training_args.bin

@@ -1,3 +1,3 @@
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 size 3055