New model from https://wandb.ai/wandb/huggingtweets/runs/179wxtxr

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/charles_irl/1610577870529/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -51,7 +51,7 @@ The model was trained on [@charles_irl's tweets](https://twitter.com/charles_irl
 <tbody style='border-width:0'>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Tweets downloaded</td>
-<td style='border-width:0'>1213</td>
+<td style='border-width:0'>1218</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Retweets</td>
@@ -59,24 +59,24 @@ The model was trained on [@charles_irl's tweets](https://twitter.com/charles_irl
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Short tweets</td>
-<td style='border-width:0'>47</td>
+<td style='border-width:0'>48</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>916</td>
+<td style='border-width:0'>920</td>
 </tr>
 </tbody>
 </table>
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2fc2zykj/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/3nnaa30i/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 @charles_irl's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/w2des9w5) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/179wxtxr) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/w2des9w5/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/179wxtxr/artifacts) is logged and versioned.
 
 ## Intended uses & limitations
 

config.json

@@ -34,7 +34,7 @@
       "top_p": 0.95
     }
   },
-  "transformers_version": "4.2.0",
+  "transformers_version": "4.2.1",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

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 size 510406560

training_args.bin

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 size 2031