New model from https://wandb.ai/wandb/huggingtweets/runs/2pfbf1ys

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Gary Short.
 
 | Data | Gary Short |
 | --- | --- |
-| Tweets downloaded | 3247 |
-| Retweets | 116 |
-| Short tweets | 305 |
-| Tweets kept | 2826 |
+| Tweets downloaded | 3248 |
+| Retweets | 94 |
+| Short tweets | 321 |
+| Tweets kept | 2833 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1xwkapbr/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/2vtmlhlj/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 @garyshort's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2uyc0q61) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2pfbf1ys) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2uyc0q61/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2pfbf1ys/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.15.0",
+  "transformers_version": "4.17.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:25d6420d2b31138db803e1e6ef3ccc2dd7c9782e6ce8c51615cbbab9da02a537
+size 510404393

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:87e6b0bc31002af78d4be2ab35e11a4dcc9d197f5e27bb6928b4e24ef6ca6ebe
+size 3055