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

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Columbine Janie.
 | Short tweets | 99 |
 | Tweets kept | 394 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/18f858rv/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/2ugaxr3j/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 @janieclone's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/vllagbks) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2dhpmjcu) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/vllagbks/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2dhpmjcu/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:ed6c13972693320cdaa6c65dbcb54dc54ec206abace6cbd327f2155b2dda51ed
+oid sha256:17086b19b1736a2f7bd17811173fd43caca7be4e6b23b1f2ca263bfb051fdb78
 size 510404393

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cfa985306dd7b773ca745706062dedd89af8b8ac2d737a8a13a10c05bf3d0eec
+oid sha256:11efe0f02987b21bc77d394994d6cc70fe881518b8d5cb9c262b744ef135083c
 size 3055