New model from https://wandb.ai/wandb/huggingtweets/runs/3khmq7gw

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk.
 
 | Data | Elon Musk |
 | --- | --- |
-| Tweets downloaded | 649 |
+| Tweets downloaded | 650 |
 | Retweets | 49 |
-| Short tweets | 355 |
+| Short tweets | 356 |
 | Tweets kept | 245 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1pjy9vom/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/2m498s4l/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 @elonmusk's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2k3unfew) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3khmq7gw) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2k3unfew/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3khmq7gw/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:430d3794b2b4909b6a911331958222b750fba992ece865329fe7a8b68e3fa40e
+oid sha256:87cb9d5a8cb424fb7e97fbff275f554d63df70dc9e9a4c753c5d9063a409b987
 size 510403817

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1f1a208c94fcf90c54c4e988901cf261fcb3da831c30d3709b7e395749185bc8
+oid sha256:eded5d99399c9ea8df674e27d9324547c51ee6e01f78756b5b62096808017f3c
 size 2607