New model from https://wandb.ai/wandb/huggingtweets/runs/g87dwq9u

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Zack Fox.
 | Short tweets | 405 |
 | Tweets kept | 635 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/dln0z2za/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/wjkvodeq/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/uxqtp9fw) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/g87dwq9u) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/uxqtp9fw/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/g87dwq9u/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80ba5d0f72f15c471c482e51e5d01299a021f447f87c3fa41f13523463f622e6
+oid sha256:7e173fbbd0e6dd3f235efd4ec9c392b0670e4ab4000ecdc567ab8145d6662bc6
 size 1444569373

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:61331b27db1928658b9ae7e7cd97d3b79eb5f6f4ddb79609de384290aae3c969
+oid sha256:575e6c95b73897c92092c1ac7386913774ade787a81d82cd0611e2345dfbb44b
 size 3579