New model from https://wandb.ai/wandb/huggingtweets/runs/2s557xc1

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Finnegans Wake.
 | Short tweets | 0 |
 | Tweets kept | 3250 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1ke8aaqn/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/26stpp9q/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 @finnegansreader's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2q88fbfp) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2s557xc1) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2q88fbfp/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2s557xc1/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1659695c2f34fff4aabe9372491d2a70d3fabb33597985ae2650446b30788a27
+oid sha256:280562d72e277de1d90a0d806e0162d380421b9797eb39a51e8b82ba581bc11a
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92466b78cc98591f6ab1f937f0950d33cfd9d1d154a077d472646e731d2e4ca4
+oid sha256:f5b69c45f2d23209167dc50fdd5fb8e257beeb2e2e1651dc2eb2bddadc192fdc
 size 3055