boris commited on
Commit
1d5769c
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1 Parent(s): 40bc2cb

New model from https://wandb.ai/wandb/huggingtweets/runs/3b8j4wi7

Browse files
Files changed (4) hide show
  1. README.md +6 -6
  2. config.json +1 -0
  3. pytorch_model.bin +2 -2
  4. training_args.bin +2 -2
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  language: en
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- thumbnail: https://www.huggingtweets.com/emailoctopus/1609540633833/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -51,7 +51,7 @@ The model was trained on [@emailoctopus's tweets](https://twitter.com/emailoctop
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  <tbody style='border-width:0'>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Tweets downloaded</td>
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- <td style='border-width:0'>2221</td>
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  </tr>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Retweets</td>
@@ -63,20 +63,20 @@ The model was trained on [@emailoctopus's tweets](https://twitter.com/emailoctop
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  </tr>
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  <tr style='border-width:0'>
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  <td style='border-width:0'>Tweets kept</td>
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- <td style='border-width:0'>1706</td>
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  </tr>
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  </tbody>
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  </table>
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/f7k5lmmf/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
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  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @emailoctopus's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2ck1y5c1) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2ck1y5c1/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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  ---
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  language: en
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+ thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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  tags:
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  - huggingtweets
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  widget:
 
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  <tbody style='border-width:0'>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Tweets downloaded</td>
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+ <td style='border-width:0'>2238</td>
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  </tr>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Retweets</td>
 
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  </tr>
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  <tr style='border-width:0'>
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  <td style='border-width:0'>Tweets kept</td>
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+ <td style='border-width:0'>1723</td>
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  </tr>
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  </tbody>
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  </table>
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/7qo0jhwr/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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  ## Training procedure
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  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @emailoctopus's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3b8j4wi7) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3b8j4wi7/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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config.json CHANGED
@@ -34,6 +34,7 @@
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  "top_p": 0.95
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  }
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  },
 
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  "use_cache": true,
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  "vocab_size": 50257
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  }
 
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  "top_p": 0.95
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  }
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  },
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+ "transformers_version": "4.2.1",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
pytorch_model.bin CHANGED
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