New model from https://wandb.ai/wandb/huggingtweets/runs/4lzkgqdm

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/kimkardashian/1645392826050/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">Kim Kardashian West</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Kim Kardashian</div>
     <div style="text-align: center; font-size: 14px;">@kimkardashian</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 Kim Kardashian West.
+The model was trained on tweets from Kim Kardashian.
 
-| Data | Kim Kardashian West |
+| Data | Kim Kardashian |
 | --- | --- |
-| Tweets downloaded | 3245 |
-| Retweets | 709 |
-| Short tweets | 657 |
-| Tweets kept | 1879 |
+| Tweets downloaded | 3240 |
+| Retweets | 723 |
+| Short tweets | 670 |
+| Tweets kept | 1847 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/137cp46u/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/ow52obkr/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 @kimkardashian's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/22gztanz) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/4lzkgqdm) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/22gztanz/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/4lzkgqdm/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.16.2",
+  "transformers_version": "4.18.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 510403817
+oid sha256:70b4540384fb9f8977649d03549a55f017ffa3dd39db58131b782c60a771dddd
+size 510396521

tokenizer.json

@@ -5,29 +5,32 @@
   "added_tokens": [
     {
       "id": 50256,
-      "special": true,
       "content": "<|endoftext|>",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": false
+      "normalized": false,
+      "special": true
     }
   ],
   "normalizer": null,
   "pre_tokenizer": {
     "type": "ByteLevel",
     "add_prefix_space": false,
-    "trim_offsets": true
+    "trim_offsets": true,
+    "use_regex": true
   },
   "post_processor": {
     "type": "ByteLevel",
     "add_prefix_space": true,
-    "trim_offsets": false
+    "trim_offsets": false,
+    "use_regex": true
   },
   "decoder": {
     "type": "ByteLevel",
     "add_prefix_space": true,
-    "trim_offsets": true
+    "trim_offsets": true,
+    "use_regex": true
   },
   "model": {
     "type": "BPE",

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:faf6308690f2d9f967c16c4b388da95320602bbdb558534dbdd1234bb106190d
 size 3055