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New model from https://wandb.ai/wandb/huggingtweets/runs/29sa4yhp

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Files changed (5) hide show
  1. README.md +9 -9
  2. config.json +1 -1
  3. pytorch_model.bin +2 -2
  4. tokenizer.json +0 -0
  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: http://www.huggingtweets.com/vsshole/1639114491407/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -10,7 +10,7 @@ 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/1468028789317935116/SYCkEdg7_400x400.jpg&#39;)">
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  </div>
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  <div
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  style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
@@ -42,20 +42,20 @@ The model was trained on tweets from 🌺 m ny πŸπŸ™.
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  | Data | 🌺 m ny πŸπŸ™ |
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  | --- | --- |
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- | Tweets downloaded | 3231 |
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- | Retweets | 409 |
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- | Short tweets | 1475 |
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- | Tweets kept | 1347 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3piwpl9z/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 @vsshole's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/mouh8wiz) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/mouh8wiz/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 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/1475160033826586625/ZGf3YqfN_400x400.jpg&#39;)">
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  </div>
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  <div
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  style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
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  | Data | 🌺 m ny πŸπŸ™ |
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  | --- | --- |
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+ | Tweets downloaded | 3221 |
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+ | Retweets | 382 |
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+ | Short tweets | 1727 |
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+ | Tweets kept | 1112 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3f393wuv/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 @vsshole's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/29sa4yhp) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/29sa4yhp/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
@@ -37,7 +37,7 @@
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  }
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  },
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  "torch_dtype": "float32",
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- "transformers_version": "4.13.0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.18.0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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tokenizer.json CHANGED
The diff for this file is too large to render. See raw diff
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