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New model from https://wandb.ai/wandb/huggingtweets/runs/3ir21lg6

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  1. README.md +9 -9
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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  language: en
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- thumbnail: https://www.huggingtweets.com/__justplaying/1616621661100/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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@@ -32,20 +32,20 @@ The model was trained on [@__justplaying's tweets](https://twitter.com/__justpla
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  | Data | Quantity |
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  | --- | --- |
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- | Tweets downloaded | 3222 |
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- | Retweets | 687 |
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- | Short tweets | 500 |
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- | Tweets kept | 2035 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2faihoai/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 @__justplaying's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/redb1zs1) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/redb1zs1/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 | 3210 |
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+ | Retweets | 706 |
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+ | Short tweets | 518 |
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+ | Tweets kept | 1986 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1og52vt9/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 @__justplaying's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3ir21lg6) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3ir21lg6/artifacts) is logged and versioned.
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  ## How to use
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