New model from https://wandb.ai/wandb/huggingtweets/runs/1v26x5ax

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from Richard Smit 🦅 🚁 🚔 💰 🇻🇦
 | Short tweets | 255 |
 | Tweets kept | 2587 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2p2zgocz/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/20va5xqa/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 @nikkihaleyfan93's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/tnyujlxy) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1v26x5ax) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/tnyujlxy/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1v26x5ax/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:524dbb5bba2e87253070df118db660c52f645a098530ae4755bb3a38ad56a0d0
+oid sha256:7d66c754d19355b6c3d7ebb6b3e0da9b4586f6a23756e2c709658490621412c8
 size 510403817

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:65dfbdc8f911d6f25da033792a7a91caec272b1db7246b0b493dc2d28eac04d3
+oid sha256:5a1558e29cee562f3d2d97ac6613afbd3d54500d5e70763490d8888ed8b88d87
 size 2863