huggingtweets
/

queenofbithynia

Text Generation Transformers PyTorch English gpt2 huggingtweets Inference Endpoints text-generation-inference

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boris commited on Dec 17, 2020

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b441a20

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1 Parent(s): a3c1198

New model from https://wandb.ai/wandb/huggingtweets/runs/4yrtay5g

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Files changed (3) hide show

README.md +7 -7
pytorch_model.bin +2 -2
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/queenofbithynia/1607976595701/predictions.png
 tags:
 - huggingtweets
 widget:
@@ -51,7 +51,7 @@ The model was trained on [@queenofbithynia's tweets](https://twitter.com/queenof
 <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'>3228</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 [@queenofbithynia's tweets](https://twitter.com/queenof
 </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'>29</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>3183</td>
 </tr>
 </tbody>
 </table>
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2i8bbc6x/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 @queenofbithynia's tweets.
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/15ea7a4y) for full transparency and reproducibility.
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/15ea7a4y/artifacts) is logged and versioned.
 ## Intended uses & limitations

 ---
 language: en
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
 <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'>3203</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Retweets</td>
 </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'>30</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
+<td style='border-width:0'>3157</td>
 </tr>
 </tbody>
 </table>
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3m3ynrfl/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 @queenofbithynia's tweets.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/4yrtay5g) for full transparency and reproducibility.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/4yrtay5g/artifacts) is logged and versioned.
 ## Intended uses & limitations

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