New model from https://wandb.ai/wandb/huggingtweets/runs/2m6ezc31

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/borisdayma/1620758824845/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -42,20 +42,20 @@ The model was trained on tweets from Boris Dayma.
 
 | Data | Boris Dayma |
 | --- | --- |
-| Tweets downloaded | 425 |
+| Tweets downloaded | 428 |
 | Retweets | 55 |
 | Short tweets | 7 |
-| Tweets kept | 363 |
+| Tweets kept | 366 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2vbbt98y/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/jwi084aa/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 @borisdayma's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1p0wjfag) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2m6ezc31) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1p0wjfag/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2m6ezc31/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -19,6 +19,7 @@
   "n_layer": 12,
   "n_positions": 1024,
   "resid_pdrop": 0.1,
+  "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
@@ -34,7 +35,7 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.5.1",
+  "transformers_version": "4.6.1",
   "use_cache": true,
   "vocab_size": 50257
 }

flax_model.msgpack

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pytorch_model.bin

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 size 510408315

training_args.bin

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