huggingtweets
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nntaleb

Text Generation

text-generation-inference

Inference Endpoints

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system HF staff commited on Sep 10, 2020

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@@ -51,32 +51,32 @@ The model was trained on [@nntaleb's tweets](https://twitter.com/nntaleb).
 <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'>3216</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Retweets</td>
-<td style='border-width:0'>269</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'>406</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>2541</td>
 </tr>
 </tbody>
 </table>
-[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/84y1k3i7/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 @nntaleb's tweets.
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/17xdqo6k) for full transparency and reproducibility.
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/17xdqo6k/artifacts) is logged and versioned.
 ## Intended uses & limitations

 <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'>3223</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Retweets</td>
+<td style='border-width:0'>273</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'>408</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
+<td style='border-width:0'>2542</td>
 </tr>
 </tbody>
 </table>
+[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/15vsq83h/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 @nntaleb's tweets.
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/2xl9u5u4) for full transparency and reproducibility.
+At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/2xl9u5u4/artifacts) is logged and versioned.
 ## Intended uses & limitations