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

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Ian Flynn.
 
 | Data | Ian Flynn |
 | --- | --- |
-| Tweets downloaded | 3249 |
-| Retweets | 896 |
-| Short tweets | 327 |
-| Tweets kept | 2026 |
+| Tweets downloaded | 3244 |
+| Retweets | 965 |
+| Short tweets | 315 |
+| Tweets kept | 1964 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/398b6m3f/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/2vk8f4y5/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 @ianflynnbkc's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2sn0xjuz) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/knqnukhw) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2sn0xjuz/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/knqnukhw/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.21.1",
+  "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:a9a9f9f84aafbddb8db6fd7b3a349e1d452f7b6bcbc59ae26b077155bf0cfdaa
+size 3375