boris commited on
Commit
990738a
1 Parent(s): 1080e0d

New model from https://wandb.ai/wandb/huggingtweets/runs/2ofab5t2

Browse files
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/whoisaddison/1652743310695/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/1506656357658812421/_MY3c0Ua_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;)">
@@ -43,19 +43,19 @@ The model was trained on tweets from Addison Rae.
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  | Data | Addison Rae |
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  | --- | --- |
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  | Tweets downloaded | 3204 |
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- | Retweets | 459 |
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- | Short tweets | 956 |
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- | Tweets kept | 1789 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2qyvvw3o/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 @whoisaddison's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zojwhval) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zojwhval/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/1570620381324578816/UG-qT7hg_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 | Addison Rae |
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  | --- | --- |
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  | Tweets downloaded | 3204 |
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+ | Retweets | 473 |
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+ | Short tweets | 957 |
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+ | Tweets kept | 1774 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/6p4jofae/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 @whoisaddison's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2ofab5t2) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2ofab5t2/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": "4.19.2",
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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": "4.22.2",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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