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huggingtweets
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rusticgendarme

Text Generation
Transformers
PyTorch
English
gpt2
huggingtweets
text-generation-inference
Model card Files
xet
 Community
1
boris commited on
Commit
044c855
·
1 Parent(s): b5c688e

New model from https://wandb.ai/wandb/huggingtweets/runs/30v45gpu

Browse files
Files changed (4) hide show
  1. README.md +12 -12
  2. config.json +1 -2
  3. pytorch_model.bin +1 -1
  4. 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/rusticgendarme/1628022809127/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -10,7 +10,7 @@ widget:
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  <div class="inline-flex flex-col" style="line-height: 1.5;">
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  <div class="flex">
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  <div
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- style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1405236436144508932/5bN_yThT_400x400.jpg&#39;)">
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  </div>
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  <div
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  style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
@@ -20,7 +20,7 @@ widget:
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  </div>
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  </div>
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  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
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- <div style="text-align: center; font-size: 16px; font-weight: 800">merzy</div>
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  <div style="text-align: center; font-size: 14px;">@rusticgendarme</div>
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  </div>
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@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
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  ## Training data
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- The model was trained on tweets from merzy.
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- | Data | merzy |
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  | --- | --- |
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- | Tweets downloaded | 2782 |
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- | Retweets | 496 |
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- | Short tweets | 468 |
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- | Tweets kept | 1818 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/sy3vmx5x/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 @rusticgendarme's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2jjg7paw) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2jjg7paw/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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  <div class="inline-flex flex-col" style="line-height: 1.5;">
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  <div class="flex">
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  <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1430578957980782593/TcIi0ZvO_400x400.jpg&#39;)">
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  </div>
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  <div
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  style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
 
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  </div>
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  </div>
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  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">merz▫️▫️▫️▫️</div>
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  <div style="text-align: center; font-size: 14px;">@rusticgendarme</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from merz▫️▫️▫️▫️.
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+ | Data | merz▫️▫️▫️▫️ |
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  | --- | --- |
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+ | Tweets downloaded | 3183 |
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+ | Retweets | 587 |
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+ | Short tweets | 593 |
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+ | Tweets kept | 2003 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/184bubin/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 @rusticgendarme's tweets.
55
 
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/30v45gpu) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/30v45gpu/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
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  "bos_token_id": 50256,
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  "embd_pdrop": 0.1,
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  "eos_token_id": 50256,
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- "gradient_checkpointing": false,
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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  }
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  },
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  "torch_dtype": "float32",
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- "transformers_version": "4.9.1",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
 
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  "bos_token_id": 50256,
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  "embd_pdrop": 0.1,
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  "eos_token_id": 50256,
 
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  "initializer_range": 0.02,
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
 
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.11.3",
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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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training_args.bin CHANGED
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