New model from https://wandb.ai/wandb/huggingtweets/runs/11tpwz39

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk.
 
 | Data | Elon Musk |
 | --- | --- |
-| Tweets downloaded | 320 |
-| Retweets | 25 |
-| Short tweets | 213 |
-| Tweets kept | 82 |
+| Tweets downloaded | 400 |
+| Retweets | 30 |
+| Short tweets | 110 |
+| Tweets kept | 260 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1ilmvkfu/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/2bqnrwo9/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/1az906qo) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/11tpwz39) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1az906qo/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/11tpwz39/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -28,7 +28,7 @@
   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
-      "max_length": 20,
+      "max_length": 160,
       "min_length": 10,
       "prefix": "<|endoftext|>",
       "temperature": 1.0,

pytorch_model.bin

@@ -1,3 +1,3 @@
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training_args.bin

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 size 2671