boris commited on
Commit
30e5f1e
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1 Parent(s): b50c7f8

New model from https://wandb.ai/wandb/huggingtweets/runs/3d9r0f0h

Browse files
Files changed (5) hide show
  1. README.md +7 -7
  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
@@ -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/1264902234703265794/lC3YnIYF_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 Adrian Wojnarowski.
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  | Data | Adrian Wojnarowski |
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  | --- | --- |
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  | Tweets downloaded | 3250 |
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- | Retweets | 672 |
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- | Short tweets | 48 |
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- | Tweets kept | 2530 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2cwc7lqa/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 @wojespn's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1nagaxwf) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1nagaxwf/artifacts) is logged and versioned.
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  ## How to use
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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/1509990164415893517/qIuzsMq6_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 | Adrian Wojnarowski |
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  | --- | --- |
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  | Tweets downloaded | 3250 |
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+ | Retweets | 699 |
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+ | Short tweets | 46 |
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+ | Tweets kept | 2505 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3kc1af3t/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 @wojespn's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3d9r0f0h) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3d9r0f0h/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": "4.15.0",
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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
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