New model from https://wandb.ai/wandb/huggingtweets/runs/29y23q19
Browse files- README.md +7 -7
- config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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@@ -32,20 +32,20 @@ The model was trained on [@chenweihua's tweets](https://twitter.com/chenweihua).
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| Data | Quantity |
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| --- | --- |
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| Tweets downloaded |
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| Retweets |
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| Short tweets |
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| Tweets kept |
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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 @chenweihua'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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| Data | Quantity |
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| --- | --- |
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| Tweets downloaded | 3246 |
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| Retweets | 1972 |
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| Short tweets | 97 |
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| Tweets kept | 1177 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3nn5asnt/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 @chenweihua's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/29y23q19) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/29y23q19/artifacts) is logged and versioned.
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## How to use
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config.json
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"top_p": 0.95
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}
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},
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"transformers_version": "4.5.
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"use_cache": true,
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"vocab_size": 50257
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}
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"top_p": 0.95
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}
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},
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"transformers_version": "4.5.1",
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"use_cache": true,
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"vocab_size": 50257
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}
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pytorch_model.bin
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size 510408315
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training_args.bin
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