New model from https://wandb.ai/wandb/huggingtweets/runs/zust2rmi

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Rev 🇷🇺 🌾 🛞.
 
 | Data | Rev 🇷🇺 🌾 🛞 |
 | --- | --- |
-| Tweets downloaded | 3096 |
+| Tweets downloaded | 3097 |
 | Retweets | 241 |
-| Short tweets | 415 |
+| Short tweets | 416 |
 | Tweets kept | 2440 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3rmotsdp/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/1nfmh3no/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 @revmaxxing's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/ur3cqga7) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zust2rmi) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/ur3cqga7/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zust2rmi/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4968fdbf0faf8390b79c6157d09c6a77e28c8d6c8bd7a4bc0a5750456b1dd5bb
+oid sha256:5b9404b3cf06e61e45d75ba6ee7122fbef4e2c29fb0dcfa15bf329235a1940dc
 size 510396521

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:169ec22b99626d7a937f4dc8b32c7681b0acabedbcc08912e429faf5d86571b6
+oid sha256:49e88fb6b69e31b40af650b1b6c180bec05a90a5e191cc4f6f890ab54a60e1de
 size 3375