New model from https://wandb.ai/wandb/huggingtweets/runs/1yk0xjv1

README.md

@@ -10,7 +10,7 @@ widget:
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     <div class="flex">
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@@ -42,20 +42,20 @@ The model was trained on tweets from 🌜 Normiemon Mormonmonster 🌛.
 
 | Data | 🌜 Normiemon Mormonmonster 🌛 |
 | --- | --- |
-| Tweets downloaded | 3218 |
-| Retweets | 438 |
-| Short tweets | 242 |
-| Tweets kept | 2538 |
+| Tweets downloaded | 3225 |
+| Retweets | 643 |
+| Short tweets | 278 |
+| Tweets kept | 2304 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/ve5qy5on/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/3o2249rs/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 @temeton_blue's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/13fwoe8a) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1yk0xjv1) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/13fwoe8a/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1yk0xjv1/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -35,7 +35,7 @@
       "top_p": 0.95
     }
   },
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+  "transformers_version": "4.8.0",
   "use_cache": true,
   "vocab_size": 50257
 }

flax_model.msgpack

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pytorch_model.bin

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tokenizer_config.json

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training_args.bin

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