New model from https://wandb.ai/wandb/huggingtweets/runs/zdu3nltx

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Product Hunt 😸 & Kate Rooney & NerdWalle
 | Short tweets | 234 | 125 | 22 |
 | Tweets kept | 2924 | 1601 | 2499 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1pw5dgzq/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/vrmrzm0o/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 @kr00ney-nerdwallet-producthunt's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3trc9yui) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zdu3nltx) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3trc9yui/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zdu3nltx/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:e9d98bcc145c09bcbd9e196737181fde0483864b1143dd2ca885e7ef86e2447a
+oid sha256:11c47028378a3579555546498f6411b4febc7eba10b4279b2cfccfd21b9cb519
 size 510408315

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8bfb5236c25e16181614be9fff16789885d80449b54688782787642c28019946
+oid sha256:5bf70cc598f309c742f7a949aa63bebbadf2eeca637c77828c2c742fb69279ed
 size 2479