New model from https://wandb.ai/wandb/huggingtweets/runs/1s4xkpp2

README.md

@@ -32,20 +32,20 @@ The model was trained on [@woketopus's tweets](https://twitter.com/woketopus).
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 3215 |
+| Tweets downloaded | 3219 |
 | Retweets | 217 |
-| Short tweets | 645 |
-| Tweets kept | 2353 |
+| Short tweets | 646 |
+| Tweets kept | 2356 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/26q1xaer/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/3t0s1gfu/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 @woketopus's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/xsbmbdr1) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1s4xkpp2) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/xsbmbdr1/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1s4xkpp2/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b8520808f76e8ba6da5a178e915dbbaaad4199dfbd60508bde563ec8d5d86cc
+oid sha256:c5544513da5edc674b9b06ae8c50713c5196aa82351f878a0dbea8c156f1cfb5
 size 510408315

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:13d6103c2cac1c9399065025fb56ce8bcabb78e423078512569be96d9a2b74e0
+oid sha256:214d996f8f995c0999cc77fd8176c1b4ac79eceb24c82b095e907b95430b18c9
 size 2159