New model from https://wandb.ai/wandb/huggingtweets/runs/2fke0tr2

README.md

@@ -7,11 +7,21 @@ widget:
 - text: "My dream is"
 ---
 
-<div>
-<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1344775686586847233/QkHU_dIP_400x400.jpg')">
-</div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">AG Holdier, Linguistic Phenomenologist 🤖 AI Bot </div>
-<div style="font-size: 15px">@agholdier bot</div>
+<div class="inline-flex flex-col" style="line-height: 1.5;">
+    <div class="flex">
+        <div
+			style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1344775686586847233/QkHU_dIP_400x400.jpg&#39;)">
+        </div>
+        <div
+            style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
+        </div>
+        <div
+            style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
+        </div>
+    </div>
+    <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">A.G. Holdier Loves Coors Cat</div>
+    <div style="text-align: center; font-size: 14px;">@agholdier</div>
 </div>
 
 I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -28,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
 
 ## Training data
 
-The model was trained on [@agholdier's tweets](https://twitter.com/agholdier).
+The model was trained on tweets from A.G. Holdier Loves Coors Cat.
 
-| Data | Quantity |
+| Data | A.G. Holdier Loves Coors Cat |
 | --- | --- |
-| Tweets downloaded | 3238 |
-| Retweets | 481 |
-| Short tweets | 396 |
-| Tweets kept | 2361 |
+| Tweets downloaded | 3235 |
+| Retweets | 460 |
+| Short tweets | 423 |
+| Tweets kept | 2352 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2dilnwuk/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/2xot2p53/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 @agholdier's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/38dtq816) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2fke0tr2) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/38dtq816/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2fke0tr2/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": "4.4.2",
+  "transformers_version": "4.6.1",
   "use_cache": true,
   "vocab_size": 50257
 }

flax_model.msgpack

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5c8ae98a0249db9bc971a503b07b8e2927e802a972612a493f1afd8a0c96a428
-size 497764120

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3c16537533c41c2f216477125d8549a58c637766a5233bd7cf9e71e35a3b2391
+oid sha256:bad8757b4d68554776f6035db3d1765ea5ee7f4a7d5f133e0bf024d4004a4f22
 size 510408315

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7606469ab8e387fc2fe99dbc220d3a0ca7d65ab081d541ab32f86d23f9ffceb2
-size 2287
+oid sha256:a13d1e8a2e443365f5c574a3a79dee21f9f8ef8c3875fd2dbecb318e7a2e19e4
+size 2415