New model from https://wandb.ai/wandb/huggingtweets/runs/iwz23sae
Browse files- README.md +7 -7
- config.json +1 -1
- generation_config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +2 -2
README.md
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@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk.
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| Data | Elon Musk |
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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 @elonmusk'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 | Elon Musk |
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| --- | --- |
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| Tweets downloaded | 3105 |
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| Retweets | 197 |
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| Short tweets | 1285 |
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| Tweets kept | 1623 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/akyn4eul/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 @elonmusk's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/iwz23sae) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/iwz23sae/artifacts) is logged and versioned.
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## How to use
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config.json
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.
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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": "4.29.2",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.
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}
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.29.2"
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}
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pytorch_model.bin
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training_args.bin
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