New model from https://wandb.ai/wandb/huggingtweets/runs/3rq9wpml

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from 방탄소년단.
 | Short tweets | 1285 |
 | Tweets kept | 1563 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1nurf11g/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/12wol4n0/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 @bts_twt's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3gmzqk6u) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3rq9wpml) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3gmzqk6u/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3rq9wpml/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:d0320a07e9370fbd3c0fef70770a69ff4b07438015dd988eda251ea7b3489bc1
+oid sha256:f0edcf1dc21337890d83e3ca20d40cc5eb5b7e72e120ef538728d03eb52b678a
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:13ad67f6799f09fcd9d58cb1aadda72646e165038ff68b24d4fa17464c9cb5a4
+oid sha256:877c303ebcbeeb049e10a834d0e2b77550e21e66830fad6127073ca040f563ce
 size 3311