New model from https://wandb.ai/wandb/huggingtweets/runs/r9gq2o68

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk.
 
 | Data | Elon Musk |
 | --- | --- |
-| Tweets downloaded | 3243 |
-| Retweets | 174 |
-| Short tweets | 1163 |
-| Tweets kept | 1906 |
+| Tweets downloaded | 3193 |
+| Retweets | 170 |
+| Short tweets | 1153 |
+| Tweets kept | 1870 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/krhip2a3/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/yskb9psv/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 @elonmusk's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/pvhj4pxw) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/r9gq2o68) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/pvhj4pxw/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/r9gq2o68/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:136afd4080e32500784117a6484c32f8f22a9f6528aa49098e45482da5e6ce2a
+oid sha256:970b3091d34c8d7e6533c5a09defcb9ce93e5dacf507d41ad81e4c869bbe2c99
 size 510398013

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1837487c22d3f2a9de811451f91ad60f19b1bd02ea00f58f5b932409c400ec00
+oid sha256:733b125a34b6c3c982a3d229b99ccfdf6ce6973fff2392deba9102975e69109c
 size 3579