New model from https://wandb.ai/wandb/huggingtweets/runs/1mywgndz

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Taylor Swift.
 | Short tweets | 88 |
 | Tweets kept | 544 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/y2l15azs/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/155f8g1q/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 @taylorswift13's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/20buqos2) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1mywgndz) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/20buqos2/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1mywgndz/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:dec622d74a7b21fc9959e0861aaea3a41b49bae8fe0ac5b4fb1eb08346ae7a93
+oid sha256:7fdb75f4d553e46290ab72397b11a1793f32508176a599dd84cd60f4b4c849af
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3b3d81a82790bd2ffc8af56a47b6ad235044491c0e0ba5c3b7a03d18f1665b37
-size 3311
+oid sha256:38cbd7687427f02ea627a3f3993b5049a16bce19eebde0395bd8b1d13e6bcaca
+size 3375