New model from https://wandb.ai/wandb/huggingtweets/runs/1uv0agi0

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk, the 2nd.
 
 | Data | Elon Musk, the 2nd |
 | --- | --- |
-| Tweets downloaded | 1050 |
-| Retweets | 58 |
-| Short tweets | 278 |
-| Tweets kept | 714 |
+| Tweets downloaded | 3020 |
+| Retweets | 188 |
+| Short tweets | 757 |
+| Tweets kept | 2075 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/8382thvk/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/48x4dybo/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/2e26v3g9) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1uv0agi0) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2e26v3g9/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1uv0agi0/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -35,7 +35,7 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.6.1",
+  "transformers_version": "4.7.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 510408315
+oid sha256:d903dd26671bc618daa77dafd4ab3bebc219c967a698d7ec1f697059ae48e547
+size 510403817

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:6a8bfffc1ca0bd7abb1882641bd58a03a4ec8e7692c6e6ebc1e75422e23f5f72
+size 2479