New model from https://wandb.ai/wandb/huggingtweets/runs/k2rh9tph

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Zack Fox.
 
 | Data | Zack Fox |
 | --- | --- |
-| Tweets downloaded | 1238 |
-| Retweets | 198 |
+| Tweets downloaded | 1237 |
+| Retweets | 197 |
 | Short tweets | 405 |
 | Tweets kept | 635 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/hqquu1l0/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/u28xufac/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 @zackfox's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/aqjdmo33) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/k2rh9tph) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/aqjdmo33/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/k2rh9tph/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:695c671ce33a4566e8739f66bbce8bdd3479c74bd946dad4045c4ad1d0d540ee
+oid sha256:856eeebad1b4a820359a8626983a52bd512caf8eb01b8d454253a0ae98c0c900
 size 1444569373

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:22e514a1028a3ebdda34df6eb5911ed3754c09b9590fc4d71b1b3fb5fc7b1a8b
+oid sha256:17d633e4c2a5ff657dccf52333a022ba7b4fcf4297f1907b193af346c321e2c6
 size 3579