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New model from https://wandb.ai/wandb/huggingtweets/runs/2fkhw3na

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Files changed (3) hide show
  1. README.md +19 -19
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  language: en
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- thumbnail: SOCIAL_LINK
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  tags:
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  - huggingtweets
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  widget:
@@ -10,18 +10,18 @@ widget:
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  <div class="inline-flex flex-col" style="line-height: 1.5;">
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  <div class="flex">
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  <div
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- style="display:DISPLAY_1; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;USER_PROFILE_1&#39;)">
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  </div>
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  <div
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- style="display:DISPLAY_2; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;USER_PROFILE_2&#39;)">
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  </div>
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  <div
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- style="display:DISPLAY_3; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;USER_PROFILE_3&#39;)">
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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">🤖 AI BOT 🤖</div>
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- <div style="text-align: center; font-size: 16px; font-weight: 800">USER_NAME</div>
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- <div style="text-align: center; font-size: 14px;">@USER_HANDLE</div>
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  </div>
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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -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 USER_NAME.
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- | Data | TABLE_USER |
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- | --- | TABLE_SPLIT |
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- | Tweets downloaded | TWEETS_DL |
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- | Retweets | RETWEETS |
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- | Short tweets | SHORT_TWEETS |
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- | Tweets kept | TWEETS_KEPT |
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- [Explore the data](WANDB_PREPROCESS/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 @USER_HANDLE's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/37l1s7a2) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/37l1s7a2/artifacts) is logged and versioned.
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  ## How to use
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@@ -64,7 +64,7 @@ You can use this model directly with a pipeline for text generation:
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  ```python
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  from transformers import pipeline
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  generator = pipeline('text-generation',
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- model='huggingtweets/USER_HANDLE')
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  generator("My dream is", num_return_sequences=5)
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  ```
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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 class="inline-flex flex-col" style="line-height: 1.5;">
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  <div class="flex">
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  <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1296667294148382721/9Pr6XrPB_400x400.jpg&#39;)">
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  </div>
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  <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/2387565623/7gew8nz1z7ik1ch148so_400x400.jpeg&#39;)">
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  </div>
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  <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1279600070145437696/eocLhSLu_400x400.jpg&#39;)">
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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">🤖 AI CYBORG 🤖</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">Andrej Karpathy & Yann LeCun & Jeremy Howard</div>
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+ <div style="text-align: center; font-size: 14px;">@jeremyphoward-karpathy-ylecun</div>
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  </div>
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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
 
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  ## Training data
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+ The model was trained on tweets from Andrej Karpathy & Yann LeCun & Jeremy Howard.
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+ | Data | Andrej Karpathy | Yann LeCun | Jeremy Howard |
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+ | --- | --- | --- | --- |
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+ | Tweets downloaded | 3217 | 3249 | 3246 |
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+ | Retweets | 426 | 940 | 1437 |
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+ | Short tweets | 98 | 185 | 154 |
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+ | Tweets kept | 2693 | 2124 | 1655 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3p3ue0xl/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 @jeremyphoward-karpathy-ylecun's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2fkhw3na) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2fkhw3na/artifacts) is logged and versioned.
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  ## How to use
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  ```python
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  from transformers import pipeline
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  generator = pipeline('text-generation',
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+ model='huggingtweets/jeremyphoward-karpathy-ylecun')
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  generator("My dream is", num_return_sequences=5)
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  ```
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