New model from https://wandb.ai/wandb/huggingtweets/runs/237vwzkl

README.md

@@ -32,20 +32,20 @@ The model was trained on [@digitalsolver1's tweets](https://twitter.com/digitals
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 290 |
+| Tweets downloaded | 291 |
 | Retweets | 112 |
-| Short tweets | 69 |
+| Short tweets | 70 |
 | Tweets kept | 109 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1482z89b/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/23z4oayh/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 @digitalsolver1's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1pwu1sr4) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/237vwzkl) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1pwu1sr4/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/237vwzkl/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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