New model from https://wandb.ai/wandb/huggingtweets/runs/8apnmb37

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/mobytism/1669894333557/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -10,7 +10,7 @@ widget:
 <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/1597714614308962305/V83XS_Ng_400x400.jpg&#39;)">
+			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/1617195988317360129/c_KkReqH_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;)">
@@ -20,7 +20,7 @@ widget:
         </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">koala</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">lydia</div>
     <div style="text-align: center; font-size: 14px;">@mobytism</div>
 </div>
 
@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
 
 ## Training data
 
-The model was trained on tweets from koala.
+The model was trained on tweets from lydia.
 
-| Data | koala |
+| Data | lydia |
 | --- | --- |
-| Tweets downloaded | 3243 |
+| Tweets downloaded | 3235 |
 | Retweets | 106 |
-| Short tweets | 626 |
-| Tweets kept | 2511 |
+| Short tweets | 619 |
+| Tweets kept | 2510 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/36y00k0p/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/hxkf62u5/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 @mobytism's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/5kfa80y6) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/8apnmb37) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/5kfa80y6/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/8apnmb37/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.24.0",
+  "transformers_version": "4.26.0",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.26.0"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 510396521
+oid sha256:9d4576e624d246939b5326ac9dbcec8a983e981a7542d0806c1fc71ca4ec3862
+size 510398013

training_args.bin

@@ -1,3 +1,3 @@
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+size 3515