New model from https://wandb.ai/wandb/huggingtweets/runs/2g7o54j4

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Comrade Based.
 
 | Data | Comrade Based |
 | --- | --- |
-| Tweets downloaded | 479 |
-| Retweets | 6 |
-| Short tweets | 151 |
-| Tweets kept | 322 |
+| Tweets downloaded | 536 |
+| Retweets | 9 |
+| Short tweets | 176 |
+| Tweets kept | 351 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1ww37w6l/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/2xffg6kj/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 @leduans1's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/29rsr8y6) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2g7o54j4) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/29rsr8y6/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2g7o54j4/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:d11c15fed55f5d68755a19faeb5f3f000759ef163fab3849be38e1cbf4105663
+oid sha256:9e76ac98f3d51b774394bf2db617ee86a634d7451aec592f3033b1d538d4e6b7
 size 510403817

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c13eee46c5b077175521368ff6852f1b3941220a58c09c6070954e1982cd6ce
+oid sha256:280f005721eab195a52abcfd8f1951318bbcfa940a83cac0e63bbe1453c1a1bf
 size 2671