New model from https://wandb.ai/wandb/huggingtweets/runs/zvw8qgfd

README.md

@@ -43,19 +43,19 @@ The model was trained on tweets from Vaush.
 | Data | Vaush |
 | --- | --- |
 | Tweets downloaded | 3209 |
-| Retweets | 896 |
-| Short tweets | 357 |
-| Tweets kept | 1956 |
+| Retweets | 895 |
+| Short tweets | 359 |
+| Tweets kept | 1955 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/kae7zvq9/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/ymcvrk4p/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 @vaushv's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/5uf3iuhw) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zvw8qgfd) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/5uf3iuhw/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zvw8qgfd/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:328acded8822a23d2aec8b74f0d34eaa506205b93f9ebc5e6a86eccee3651a3b
+oid sha256:4edb4c38911aaf2bca757bd350b1edc4300c53ed3cca478dcc8e0a98f33b3709
 size 1444569373

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:298816583456fc2bc79f966f1282ab6883c82b04457493775dc433fd8a83cdbc
+oid sha256:d9b91a42f5e1779a964784bb7ebe9ae4ab1cc13e6f89cf360ed5449b261b2c0f
 size 3579