New model from https://wandb.ai/wandb/huggingtweets/runs/j0r1zriq

README.md

@@ -44,18 +44,18 @@ The model was trained on tweets from Elon Musk.
 | --- | --- |
 | Tweets downloaded | 3195 |
 | Retweets | 172 |
-| Short tweets | 1172 |
-| Tweets kept | 1851 |
+| Short tweets | 1175 |
+| Tweets kept | 1848 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/wtswyvp2/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/h0qli61v/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 @elonmusk's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1kujj8bq) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/j0r1zriq) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1kujj8bq/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/j0r1zriq/artifacts) is logged and versioned.
 
 ## How to use
 

merges.txt

@@ -1,4 +1,4 @@
-#version: 0.2 - Trained by `huggingface/tokenizers`
+#version: 0.2
 Ġ t
 Ġ a
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pytorch_model.bin

@@ -1,3 +1,3 @@
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tokenizer.json

@@ -39,6 +39,7 @@
     "continuing_subword_prefix": "",
     "end_of_word_suffix": "",
     "fuse_unk": false,
+    "byte_fallback": false,
     "vocab": {
       "!": 0,
       "\"": 1,

training_args.bin

@@ -1,3 +1,3 @@
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 size 3579