boris commited on
Commit
5a03781
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1 Parent(s): ffa001a

New model from https://wandb.ai/wandb/huggingtweets/runs/1rr17838

Browse files
Files changed (4) hide show
  1. README.md +8 -8
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  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/marknorm/1611547682218/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -51,32 +51,32 @@ The model was trained on [@marknorm's tweets](https://twitter.com/marknorm).
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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'>3243</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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- <td style='border-width:0'>160</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'>Short tweets</td>
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- <td style='border-width:0'>578</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'>2505</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/sm2uvlrl/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 @marknorm's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2vfkgvyd) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2vfkgvyd/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'>3201</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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+ <td style='border-width:0'>152</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'>Short tweets</td>
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+ <td style='border-width:0'>558</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'>2491</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/50v4i52j/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 @marknorm's tweets.
76
 
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1rr17838) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1rr17838/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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config.json CHANGED
@@ -34,7 +34,7 @@
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  "top_p": 0.95
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  }
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  },
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- "transformers_version": "4.2.2",
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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": "4.3.0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 510406560
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