New model from https://wandb.ai/wandb/huggingtweets/runs/3dugxh12

README.md

@@ -37,15 +37,15 @@ The model was trained on [@berniesanders's tweets](https://twitter.com/berniesan
 | Short tweets | 6 |
 | Tweets kept | 2633 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2rr76tdw/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/1g2gjajv/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 @berniesanders's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/182ijdti) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3dugxh12) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/182ijdti/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3dugxh12/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9798ef8be5aeb9d9a854c0e60e657cc4c53b2d967cd6c30c53aac64a0efe9a8f
+oid sha256:356de4fbe14216767b190a5c4673e01534f41f0c3f73c53486f4a7acbdb1392f
 size 510408315

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ffa1ced0e109b42f0edcb3cc967634ae83b949efd00c6fadbc1512d03f29d516
+oid sha256:d6c3434857fd2e4cd6f1bd094da665c14f2636392804bba9b3798fcacd56667f
 size 2287