New model from https://wandb.ai/wandb/huggingtweets/runs/1ku5x2zq
Browse files- README.md +11 -11
- config.json +2 -1
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- training_args.bin +2 -2
README.md
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---
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language: en
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thumbnail: https://
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tags:
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- huggingtweets
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widget:
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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 BOT 🤖</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">Boris Dayma
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<div style="text-align: center; font-size: 14px;">@borisdayma</div>
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</div>
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## Training data
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The model was trained on tweets from Boris Dayma
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| Data | Boris Dayma |
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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 @borisdayma'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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</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 BOT 🤖</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">Boris Dayma 🥑</div>
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<div style="text-align: center; font-size: 14px;">@borisdayma</div>
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</div>
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## Training data
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The model was trained on tweets from Boris Dayma 🥑.
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| Data | Boris Dayma 🥑 |
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| --- | --- |
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| Tweets downloaded | 572 |
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| Retweets | 72 |
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| Short tweets | 16 |
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| Tweets kept | 484 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/637dm3p6/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 @borisdayma's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1ku5x2zq) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1ku5x2zq/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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"
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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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"torch_dtype": "float32",
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"transformers_version": "4.10.0",
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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 510403817
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tokenizer_config.json
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2"}
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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size 2671
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