New model from https://wandb.ai/wandb/huggingtweets/runs/s3266q9x

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Luria Petrucci.
 | Short tweets | 578 |
 | Tweets kept | 2648 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/rf05t39n/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/lkhbgwv6/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 @luriapetrucci's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/rmgkv80d) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/s3266q9x) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/rmgkv80d/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/s3266q9x/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f64df443c5d510d55ac7082efb594e989fa476074b4eced1216180b601854bc
+oid sha256:f0bb4bf3f8b06d01addc18b517e753e14e6259165813f0343741c50315676525
 size 510398013

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2aa8f6dbc0f69d396421593abcf0212e7bec0b0f6d177fb6de83277237ece942
+oid sha256:37d60f88b33167fcea700c6cca61bd989514461d5a441d778681a6edeb62b99e
 size 3579