New model from https://wandb.ai/wandb/huggingtweets/runs/1bsup08h

README.md

@@ -44,18 +44,18 @@ The model was trained on tweets from wint.
 | --- | --- |
 | Tweets downloaded | 3229 |
 | Retweets | 495 |
-| Short tweets | 291 |
-| Tweets kept | 2443 |
+| Short tweets | 292 |
+| Tweets kept | 2442 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/vx7jjre3/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/25f0qstj/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 @dril's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1qy6q7d2) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1bsup08h) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1qy6q7d2/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1bsup08h/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2642095f260c6d4de94ca275a372b518139a3752d5c7b474edccad277e3b810c
+oid sha256:b0ee39b637a6a0e0b2a708386b05d4e56e93de10dc3afb8e3fced93a27fe6b5e
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7aae98f1058e2772e5bc03c09942f8b97ed22b1a483beb58d1a0dbf4483d0876
+oid sha256:9ec6d3413f7696fdbdb2fc1529a050d2e74e673fccf862b24db5f75cab776b67
 size 3375