New model from https://wandb.ai/wandb/huggingtweets/runs/3rl4cf3r

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from angelicism beijing.
 
 | Data | angelicism beijing |
 | --- | --- |
-| Tweets downloaded | 2209 |
-| Retweets | 208 |
-| Short tweets | 341 |
-| Tweets kept | 1660 |
+| Tweets downloaded | 2294 |
+| Retweets | 212 |
+| Short tweets | 347 |
+| Tweets kept | 1735 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/owp2tmib/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/2ws0dxuf/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 @angelicismbj's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3so86eoc) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3rl4cf3r) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3so86eoc/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3rl4cf3r/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.23.1",
+  "transformers_version": "4.24.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:61070f5077ea5f9b05f3e25d5e369700a941ad01d96ab4c9ed78e3a817419893
 size 3375