New model from https://wandb.ai/wandb/huggingtweets/runs/4m5z26ku

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from RelaxedSwimmer.
 
 | Data | RelaxedSwimmer |
 | --- | --- |
-| Tweets downloaded | 1959 |
-| Retweets | 431 |
+| Tweets downloaded | 1963 |
+| Retweets | 432 |
 | Short tweets | 291 |
-| Tweets kept | 1237 |
+| Tweets kept | 1240 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/gy7gvnzt/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/yzmooa2m/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 @relaxedswimmer's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/7tyewwe4) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/4m5z26ku) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/7tyewwe4/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/4m5z26ku/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:97d3cb0868e49b2420ebd60cdb923075544f07c6738fa2a31972ead62df918f6
+oid sha256:c631d621a40fbcd01bec532adda83c5612262cf8f61f48558832f6853a1980c7
 size 510398013

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a50da5e29376157c6c43bf15dcd8f58095da261a5e3eda300683293c0293343c
+oid sha256:1eb3ab8f1bbd77d1f33c4bfc248f220bf0cefca185920923782796bf27238e01
 size 3579