New model from https://wandb.ai/wandb/huggingtweets/runs/3myotjd3
Browse files- README.md +11 -11
- 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/1427911499083886600/byWMKtYP_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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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">π€ AI CYBORG π€</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">wakaflocka.eth &
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<div style="text-align: center; font-size: 14px;">@0xtuba-jacksondame-mikedemarais</div>
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## Training data
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The model was trained on tweets from wakaflocka.eth &
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| Data | wakaflocka.eth | tuba π¦ |
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| --- | --- | --- | --- |
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| Tweets downloaded | 3247 | 3250 | 3250 |
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| Retweets |
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| Short tweets | 645 |
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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 @0xtuba-jacksondame-mikedemarais'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/1427911499083886600/byWMKtYP_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/1436414419987222530/oN_cGj8R_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/1431202462728400903/8Xi5oRDA_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">π€ AI CYBORG π€</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">wakaflocka.eth & Dame.eth & tuba π¦</div>
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<div style="text-align: center; font-size: 14px;">@0xtuba-jacksondame-mikedemarais</div>
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</div>
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## Training data
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The model was trained on tweets from wakaflocka.eth & Dame.eth & tuba π¦.
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| Data | wakaflocka.eth | Dame.eth | tuba π¦ |
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| --- | --- | --- | --- |
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| Tweets downloaded | 3247 | 3250 | 3250 |
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| Retweets | 418 | 467 | 47 |
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| Short tweets | 645 | 651 | 718 |
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| Tweets kept | 2184 | 2132 | 2485 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/23otlaa7/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 @0xtuba-jacksondame-mikedemarais's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3myotjd3) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3myotjd3/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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