New model from https://wandb.ai/wandb/huggingtweets/runs/2puqx075

README.md

@@ -32,20 +32,20 @@ The model was trained on [@eiritana's tweets](https://twitter.com/eiritana).
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 3227 |
-| Retweets | 1712 |
-| Short tweets | 552 |
-| Tweets kept | 963 |
+| Tweets downloaded | 3226 |
+| Retweets | 1692 |
+| Short tweets | 567 |
+| Tweets kept | 967 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/myvh67nc/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/2nuy0f3c/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 @eiritana's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1vrtsmwu) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2puqx075) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1vrtsmwu/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2puqx075/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:52bd66d820668d5457cf431c5e17ad19ae9b3c99d6d5ade8d52c04c3f44ebb92
+oid sha256:4ad97dd1636fd748cd553f50dd39fa4e6c70b0a4526d4de4949dad6ab0acfc3c
 size 510408315

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:caee14e75ed96f8530d1a48c73f8543ee48d1c7ac3b6061dabcaccfba5e82929
+oid sha256:c5a6d58ca1e0e8155e2e3a4a5c9928d2bbb595eb4d16f6d7e3a49fcf53703430
 size 2351