New model from https://wandb.ai/wandb/huggingtweets/runs/escw509c
Browse files- README.md +3 -3
- config.json +2 -2
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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@@ -47,15 +47,15 @@ The model was trained on tweets from Zack Fox.
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| Short tweets | 405 |
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| Tweets kept | 635 |
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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 @zackfox'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 | 405 |
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| Tweets kept | 635 |
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[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/g5quhv9u/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 @zackfox's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/escw509c) for full transparency and reproducibility.
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At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/escw509c/artifacts) is logged and versioned.
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## How to use
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config.json
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length":
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"min_length": 10,
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"prefix": "
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"temperature": 1.0,
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"top_p": 0.95
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}
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 160,
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"min_length": 10,
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"prefix": "<|endoftext|>",
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"temperature": 1.0,
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"top_p": 0.95
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}
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pytorch_model.bin
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size 1444569373
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training_args.bin
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size 3579
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