New model from https://wandb.ai/wandb/huggingtweets/runs/gm17doqq
Browse files- README.md +3 -3
- config.json +1 -1
- generation_config.json +0 -6
- pytorch_model.bin +2 -2
- tokenizer.json +3 -6
- tokenizer_config.json +1 -0
- training_args.bin +2 -2
README.md
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| Short tweets | 1115 |
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| Tweets kept | 1901 |
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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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| Short tweets | 1115 |
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| Tweets kept | 1901 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1m3c0mn7/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/gm17doqq) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/gm17doqq/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": "4.24.0.dev0",
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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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{
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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": "4.27.2"
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}
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pytorch_model.bin
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size
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size 510394089
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tokenizer.json
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"pre_tokenizer": {
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"type": "ByteLevel",
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"add_prefix_space": false,
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"trim_offsets": true
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"use_regex": true
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},
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"post_processor": {
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"type": "ByteLevel",
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"add_prefix_space": true,
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"trim_offsets": false
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"use_regex": true
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},
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"decoder": {
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"type": "ByteLevel",
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"add_prefix_space": true,
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"trim_offsets": true
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"use_regex": true
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},
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"model": {
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"type": "BPE",
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"pre_tokenizer": {
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"type": "ByteLevel",
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"add_prefix_space": false,
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"trim_offsets": true
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},
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"post_processor": {
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"type": "ByteLevel",
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"add_prefix_space": true,
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"trim_offsets": false
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},
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"decoder": {
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"type": "ByteLevel",
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"add_prefix_space": true,
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"trim_offsets": true
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},
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"model": {
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"type": "BPE",
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tokenizer_config.json
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"special_tokens_map_file": null,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"name_or_path": "gpt2",
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"special_tokens_map_file": null,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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training_args.bin
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size 3375
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