New model from https://wandb.ai/wandb/huggingtweets/runs/ao5zpdnr

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Elon Musk.
 | Short tweets | 1152 |
 | Tweets kept | 1871 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/pi6kqvex/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/yzxsw6iu/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/q8ovyu97) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/ao5zpdnr) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/q8ovyu97/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/ao5zpdnr/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:790f3897dae61a75fad05b0ca56707a8e81f1b47d26f7d7ca24eed7ee5b22a26
+oid sha256:3d481423f6bddf7ed45fda73608403d1d52b81cc450c15ebc473a989034aab17
 size 510398013

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:388bf653d8e7e039daa06898f5cfce3446eb2f0b5cbbf47049b7cf90cb84841a
+oid sha256:78e0b814803b7428d08bcbd183644e35ef712c190dbd6d76c97818c09944cb4d
 size 3579