New model from https://wandb.ai/wandb/huggingtweets/runs/99156pb3

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Willow Hart.
 | Short tweets | 290 |
 | Tweets kept | 2854 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/sxpvbuml/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/kfvmn3e7/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 @whart31's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/vinue4yw) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/99156pb3) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/vinue4yw/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/99156pb3/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:a34c7a6d4996139e76b84d2c9940e3020ab84f90352e665c48ea6f942f80155c
+oid sha256:8124572093f2db04459333dddfef644bd140bee7e812a3a92d7e19ce53bd47f4
 size 510398013

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c99d9c4dc20b4c1390cf73f5304517ace8a51fa05aa3977386048f3eaef45f3a
+oid sha256:08bee7e6c2a1afcfd22757eeffb11f930a5e0cdbc1d26e8e0bcc5c732b4501eb
 size 3579