New model from https://wandb.ai/wandb/huggingtweets/runs/2rh23jhk
Browse files- README.md +4 -4
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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language: en
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thumbnail: https://
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tags:
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- huggingtweets
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widget:
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@@ -47,15 +47,15 @@ The model was trained on tweets from 🏳🌈🌸 Pride Huwu-Yenny 🌸🏳
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| Short tweets | 1015 |
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| Tweets kept | 2185 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/
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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 @yennyowo's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/
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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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| Short tweets | 1015 |
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| Tweets kept | 2185 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1e63a0zl/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 @yennyowo's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2rh23jhk) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2rh23jhk/artifacts) is logged and versioned.
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## How to use
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pytorch_model.bin
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training_args.bin
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