New model from https://wandb.ai/wandb/huggingtweets/runs/paktt31s

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/nasa/1634620756871/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -43,19 +43,19 @@ The model was trained on tweets from NASA.
 | Data | NASA |
 | --- | --- |
 | Tweets downloaded | 3250 |
-| Retweets | 791 |
-| Short tweets | 128 |
-| Tweets kept | 2331 |
+| Retweets | 681 |
+| Short tweets | 64 |
+| Tweets kept | 2505 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2d5v4ryv/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/6zwmd6vl/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 @nasa's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/24dhsaf3) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/paktt31s) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/24dhsaf3/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/paktt31s/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -17,7 +17,9 @@
   "n_inner": null,
   "n_layer": 12,
   "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
   "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
   "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
@@ -35,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.11.3",
+  "transformers_version": "4.18.0",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:52a2b5c8ac488a99c14bb440dcbe23001255d887152560af116ca409a01becf3
+size 510396521

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:a30ec06dbe51e15499e4abdf179ebe1a0dd150cc4943737e84a062807057ed71
+size 3055