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

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/dril/1655310628310/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -47,15 +47,15 @@ The model was trained on tweets from wint.
 | Short tweets | 296 |
 | Tweets kept | 2452 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1zwhbrj9/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/33aqh8dh/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 @dril's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1vdjob6t) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/vqfhmrlt) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1vdjob6t/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/vqfhmrlt/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:f1b9e999a28378c4e7cb2d57dc705221c40988cc1e06993423c63c850f42f56b
+oid sha256:7a4c927e7fb44b3779a49b86ef60acf8f2c7c7c6794b305bee60dce030059407
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6d8291431508a32aab8a3e97957557b51fb4e567031ca73b7a6d500ec0a19c86
+oid sha256:50d97afcd60ff1adf7ab15576814583d132a224421cdc2ae106c57e22ccb7fd3
 size 3183