boris commited on
Commit
680235b
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New model from https://wandb.ai/wandb/huggingtweets/runs/oevebqo3

Browse files
Files changed (5) hide show
  1. README.md +8 -8
  2. config.json +1 -1
  3. pytorch_model.bin +2 -2
  4. tokenizer_config.json +1 -1
  5. training_args.bin +2 -2
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/barackobama/1613771967885/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 [@barackobama's tweets](https://twitter.com/barackobama
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  | Data | Quantity |
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  | --- | --- |
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- | Tweets downloaded | 3229 |
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- | Retweets | 359 |
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  | Short tweets | 26 |
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- | Tweets kept | 2844 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2254q111/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 @barackobama's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3bvzlexe) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3bvzlexe/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 | 3249 |
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+ | Retweets | 357 |
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  | Short tweets | 26 |
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+ | Tweets kept | 2866 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2od8qhiy/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 @barackobama's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/oevebqo3) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/oevebqo3/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
@@ -34,7 +34,7 @@
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  "top_p": 0.95
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  }
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  },
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- "transformers_version": "4.3.2",
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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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+ "transformers_version": "4.4.2",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
pytorch_model.bin CHANGED
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tokenizer_config.json CHANGED
@@ -1 +1 @@
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- {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "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"}
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