New model from https://wandb.ai/wandb/huggingtweets/runs/1y5fwpp2

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk.
 
 | Data | Elon Musk |
 | --- | --- |
-| Tweets downloaded | 3193 |
-| Retweets | 170 |
-| Short tweets | 1152 |
-| Tweets kept | 1871 |
+| Tweets downloaded | 3194 |
+| Retweets | 174 |
+| Short tweets | 1150 |
+| Tweets kept | 1870 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/yzxsw6iu/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/soi9ml6n/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/ao5zpdnr) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1y5fwpp2) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/ao5zpdnr/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1y5fwpp2/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.27.3",
+  "transformers_version": "4.27.4",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.27.3"
+  "transformers_version": "4.27.4"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 510398013

training_args.bin

@@ -1,3 +1,3 @@
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 size 3579