New model from https://wandb.ai/wandb/huggingtweets/runs/2hcr10go

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Mr. Al Gore 🇺🇸 🏗.
 
 | Data | Mr. Al Gore 🇺🇸 🏗 |
 | --- | --- |
-| Tweets downloaded | 1641 |
+| Tweets downloaded | 1663 |
 | Retweets | 48 |
-| Short tweets | 400 |
-| Tweets kept | 1193 |
+| Short tweets | 409 |
+| Tweets kept | 1206 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/9gnqfssw/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/lb6ro1nm/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 @mralgore's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2db1gb02) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2hcr10go) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2db1gb02/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2hcr10go/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:a2e8130759ed8d16b624b25c8639b559ae2fc0281dbacf38497e9f95ace8d1b7
+oid sha256:a599f1965ce950199f48045fe9807d7e648fc24d0edf7091dba59f54b7e8fd6f
 size 510403817

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3c3f03ad729b0d472a195afe8018388727c49efc055dbda7a20afff280002c7
+oid sha256:db766270d9ca31dd2afa4f2f4056b0e54d0aef1260d1a8999e78d91875a6d74e
 size 2671