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New model from https://wandb.ai/wandb/huggingtweets/runs/1ku5x2zq

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Files changed (5) hide show
  1. README.md +11 -11
  2. config.json +2 -1
  3. pytorch_model.bin +2 -2
  4. tokenizer_config.json +1 -1
  5. 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/borisdayma/1622223056849/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -20,7 +20,7 @@ widget:
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  </div>
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  </div>
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  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">πŸ€– AI BOT πŸ€–</div>
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- <div style="text-align: center; font-size: 16px; font-weight: 800">Boris Dayma</div>
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  <div style="text-align: center; font-size: 14px;">@borisdayma</div>
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  </div>
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@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
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  ## Training data
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- The model was trained on tweets from Boris Dayma.
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- | Data | Boris Dayma |
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  | --- | --- |
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- | Tweets downloaded | 428 |
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- | Retweets | 55 |
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- | Short tweets | 7 |
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- | Tweets kept | 366 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/jwi084aa/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 @borisdayma's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2m6ezc31) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2m6ezc31/artifacts) is logged and versioned.
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  ## How to use
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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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  </div>
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  </div>
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  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">πŸ€– AI BOT πŸ€–</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">Boris Dayma πŸ₯‘</div>
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  <div style="text-align: center; font-size: 14px;">@borisdayma</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from Boris Dayma πŸ₯‘.
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+ | Data | Boris Dayma πŸ₯‘ |
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  | --- | --- |
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+ | Tweets downloaded | 572 |
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+ | Retweets | 72 |
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+ | Short tweets | 16 |
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+ | Tweets kept | 484 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/637dm3p6/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 @borisdayma's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1ku5x2zq) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1ku5x2zq/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
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  "top_p": 0.95
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  }
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  },
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- "transformers_version": "4.6.1",
 
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.10.0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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tokenizer_config.json CHANGED
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