New model from https://wandb.ai/wandb/huggingtweets/runs/2maud2dh

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/harmchair/1621195469020/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -42,20 +42,20 @@ The model was trained on tweets from OldOldboy.
 
 | Data | OldOldboy |
 | --- | --- |
-| Tweets downloaded | 2988 |
-| Retweets | 1911 |
+| Tweets downloaded | 2989 |
+| Retweets | 1909 |
 | Short tweets | 119 |
-| Tweets kept | 958 |
+| Tweets kept | 961 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/yxg3rrqm/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/7np3bbn9/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 @harmchair's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3vvzp5pa) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2maud2dh) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3vvzp5pa/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2maud2dh/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b2146ff448b67178eea2ca8a1a717f71f0ade591bf0e5ac82726c539f0ed74a
+oid sha256:45040b7e5b813cb1d1d0468d53cc4c2bc0d1614dd5ffccca9629de92c57859a8
 size 510408315

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7309419a54fa2166dd889b6cf6bbafde35aefc07b1818435180ccbfd6427869c
+oid sha256:299cd92536fe5f8408045accb4972d3bb1f6361a7f72429347b85db326f4183a
 size 2415