New model from https://wandb.ai/wandb/huggingtweets/runs/1bnj1d4d

README.md

@@ -10,17 +10,17 @@ 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/456958582731603969/QZKpv6eI_400x400.jpeg&#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/1545140847259406337/bTk2lL6O_400x400.jpg&#39;)">
         </div>
         <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/1492494175849353223/nhm3MajO_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/456958582731603969/QZKpv6eI_400x400.jpeg&#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 CYBORG 🤖</div>
-    <div style="text-align: center; font-size: 16px; font-weight: 800">im pete online & BUCKSHOT</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">BUCKSHOT & im pete online</div>
     <div style="text-align: center; font-size: 14px;">@buckeshot-onlinepete</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 im pete online & BUCKSHOT.
+The model was trained on tweets from BUCKSHOT & im pete online.
 
-| Data | im pete online | BUCKSHOT |
+| Data | BUCKSHOT | im pete online |
 | --- | --- | --- |
-| Tweets downloaded | 3190 | 211 |
-| Retweets | 94 | 52 |
-| Short tweets | 1003 | 28 |
-| Tweets kept | 2093 | 131 |
+| Tweets downloaded | 311 | 3190 |
+| Retweets | 77 | 94 |
+| Short tweets | 46 | 1003 |
+| Tweets kept | 188 | 2093 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/my5myk60/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/1wyw1egj/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 @buckeshot-onlinepete's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/b9ea5prx) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1bnj1d4d) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/b9ea5prx/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1bnj1d4d/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.18.0",
+  "transformers_version": "4.21.2",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

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 size 510396521

special_tokens_map.json

@@ -1 +1,5 @@
-{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

@@ -1 +1,10 @@
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+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "name_or_path": "gpt2",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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