New model from https://wandb.ai/wandb/huggingtweets/runs/19d4nhfe

README.md

@@ -47,15 +47,15 @@ The model was trained on tweets from FastCarMan24.
 | Short tweets | 159 |
 | Tweets kept | 490 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2mz4oh9z/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/2oq7rh5p/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 @man24car's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/21zubzme) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/19d4nhfe) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/21zubzme/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/19d4nhfe/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0e7a355d93a2cd52da000601a66cc74c9941d8819d286c2c5ab5e5f7dcfc0092
+oid sha256:cb321115c1f4979a015700913728185fd7e3723ca9d65d4d8088430842639af9
 size 510403817

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:08f7ee42f8b045262015e9955a0336a70f0b0b9c2c995bbec9acd70253611143
+oid sha256:c55254249d1ad01b04db17b742e18616ab70d42ed33c3352aa45fed9980f5945
 size 2991