New model from https://wandb.ai/wandb/huggingtweets/runs/fe4ijh1l

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/tojibaceo/1649522678076/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -42,20 +42,20 @@ The model was trained on tweets from Tojiba CPU Corp MINTED OUT (🏭,🏭).
 
 | Data | Tojiba CPU Corp MINTED OUT (🏭,🏭) |
 | --- | --- |
-| Tweets downloaded | 957 |
-| Retweets | 455 |
-| Short tweets | 172 |
-| Tweets kept | 330 |
+| Tweets downloaded | 1130 |
+| Retweets | 564 |
+| Short tweets | 194 |
+| Tweets kept | 372 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/o1maphkk/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/1finqq6c/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 @tojibaceo's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/34m50wby) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/fe4ijh1l) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/34m50wby/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/fe4ijh1l/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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 size 510396521

tokenizer.json

@@ -17,17 +17,20 @@
   "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

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