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

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from NootBro.
 | Short tweets | 472 |
 | Tweets kept | 1791 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/4a4jpzz1/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/kessm8a4/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 @nootropicguy's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/tjkhwi2c) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/vwpnbram) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/tjkhwi2c/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/vwpnbram/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dbbb753a8c98df1ba3e1657f63573385f1743807f8d76d832a9645f0daa1c77
+oid sha256:0e078e2187dc076c68faf8fe2d090f9d77c4e4c4aae58f884fee490ae327eec3
 size 510398013

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f75d01313311fbeaaec9c05789df1b3dfd83826e6d025fee75c5a9970aa544dc
+oid sha256:7948fbb2601cc0710e286a8227308f46a73f39723d30a728f6c94a236c5948d1
 size 3579