New model from https://wandb.ai/wandb/huggingtweets/runs/23sx643q
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:
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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 Lior Pachter.
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| Short tweets | 245 |
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| Tweets kept | 1774 |
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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 @lpachter'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 | 245 |
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| Tweets kept | 1774 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3rt1wriv/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 @lpachter's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/23sx643q) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/23sx643q/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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