New model from https://wandb.ai/wandb/huggingtweets/runs/zuzgzjdk
Browse files- README.md +12 -12
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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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('https://pbs.twimg.com/profile_images/1503591435324563456/foUrqiEw_400x400.jpg')">
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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('https://pbs.twimg.com/profile_images/
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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('https://pbs.twimg.com/profile_images/
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI CYBORG 🤖</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">Elon Musk &
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<div style="text-align: center; font-size: 14px;">@elonmusk-marknorm-timjdillon</div>
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## Training data
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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-marknorm-timjdillon'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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style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1503591435324563456/foUrqiEw_400x400.jpg')">
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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('https://pbs.twimg.com/profile_images/1010263656456744960/bXOUw0hb_400x400.jpg')">
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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('https://pbs.twimg.com/profile_images/1468306462245994496/x8koB4rb_400x400.jpg')">
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</div>
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</div>
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI CYBORG 🤖</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">Elon Musk & Tim Dillon & mark normand</div>
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<div style="text-align: center; font-size: 14px;">@elonmusk-marknorm-timjdillon</div>
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</div>
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## Training data
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The model was trained on tweets from Elon Musk & Tim Dillon & mark normand.
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| Data | Elon Musk | Tim Dillon | mark normand |
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| --- | --- | --- | --- |
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| Tweets downloaded | 400 | 3240 | 3202 |
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| Retweets | 14 | 658 | 116 |
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| Short tweets | 117 | 293 | 477 |
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| Tweets kept | 269 | 2289 | 2609 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/yk5i85xt/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-marknorm-timjdillon's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zuzgzjdk) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zuzgzjdk/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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