New model from https://wandb.ai/wandb/huggingtweets/runs/2f5mhzg7

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Glory Boy.
 | Short tweets | 930 |
 | Tweets kept | 2194 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2iz58u2e/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/2e3hy76x/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 @chiefkeef's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1kca4tb1) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2f5mhzg7) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1kca4tb1/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2f5mhzg7/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e5cea7598572a4cea3d0930a68b22386370295df67952442b07cd27c75cba764
+oid sha256:c3847badcdba63949444d8411717f842fb21a6ea3b93b14afed1e1341f2c2f83
 size 510403817

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ecd13d20a699a889c15badce7ed409c0eaf1b54bd3a70e8c4ea7c20fb06239a3
+oid sha256:504750ce6f69a4513e2e14ae4933d324bb143a45bbf311ad73ca0d7f53f99e9a
 size 2671