boris commited on
Commit
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New model from https://wandb.ai/wandb/huggingtweets/runs/2j51dutm

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Files changed (3) hide show
  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  language: en
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- thumbnail: https://www.huggingtweets.com/kendrictonn/1616617100580/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -24,7 +24,7 @@ The model uses the following pipeline.
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  ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
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- To understand how the model was developed, check the [W&B report](https://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI).
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  ## Training data
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@@ -33,19 +33,19 @@ The model was trained on [@kendrictonn's tweets](https://twitter.com/kendrictonn
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  | Data | Quantity |
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  | --- | --- |
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  | Tweets downloaded | 3238 |
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- | Retweets | 248 |
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  | Short tweets | 148 |
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- | Tweets kept | 2842 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3a48pnvb/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 @kendrictonn's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/hof7ttoc) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/hof7ttoc/artifacts) is logged and versioned.
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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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  ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
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+ To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
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  ## Training data
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  | Data | Quantity |
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  | --- | --- |
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  | Tweets downloaded | 3238 |
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+ | Retweets | 244 |
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  | Short tweets | 148 |
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+ | Tweets kept | 2846 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2ecvcxbk/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 @kendrictonn's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2j51dutm) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2j51dutm/artifacts) is logged and versioned.
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  ## How to use
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