New model from https://wandb.ai/wandb/huggingtweets/runs/261h9xq4

README.md

@@ -37,15 +37,15 @@ The model was trained on [@elonmusk's tweets](https://twitter.com/elonmusk).
 | Short tweets | 792 |
 | Tweets kept | 2257 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3k51ko84/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/7y866a6m/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/1g68jbvs) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/261h9xq4) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1g68jbvs/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/261h9xq4/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -34,7 +34,7 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.5.0",
+  "transformers_version": "4.5.1",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

@@ -1,3 +1,3 @@
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 size 2351