boris commited on
Commit
d38c856
1 Parent(s): e27d95b

New model from https://wandb.ai/wandb/huggingtweets/runs/r9ejkubu

Browse files
Files changed (4) hide show
  1. README.md +9 -9
  2. config.json +4 -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/ai_hexcrawl/1625854393329/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/1391882949650440200/lmEKl2ZQ_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;)">
@@ -42,20 +42,20 @@ The model was trained on tweets from AI Hexcrawl.
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  | Data | AI Hexcrawl |
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  | --- | --- |
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- | Tweets downloaded | 384 |
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- | Retweets | 11 |
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- | Short tweets | 0 |
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- | Tweets kept | 373 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2g5e7kn3/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 @ai_hexcrawl's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/395id7uq) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/395id7uq/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/1467327234365181953/gFho8YCv_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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  | Data | AI Hexcrawl |
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  | --- | --- |
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+ | Tweets downloaded | 1164 |
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+ | Retweets | 42 |
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+ | Short tweets | 2 |
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+ | Tweets kept | 1120 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/vdxugbwr/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 @ai_hexcrawl's tweets.
55
 
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/r9ejkubu) for full transparency and reproducibility.
57
 
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/r9ejkubu/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
@@ -8,7 +8,6 @@
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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",
@@ -18,7 +17,9 @@
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  "n_inner": null,
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  "n_layer": 12,
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  "n_positions": 1024,
 
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  "resid_pdrop": 0.1,
 
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  "scale_attn_weights": true,
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  "summary_activation": null,
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  "summary_first_dropout": 0.1,
@@ -35,7 +36,8 @@
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  "top_p": 0.95
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  }
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  },
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- "transformers_version": "4.8.2",
 
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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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  "n_inner": null,
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  "n_layer": 12,
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  "n_positions": 1024,
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+ "reorder_and_upcast_attn": false,
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  "resid_pdrop": 0.1,
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+ "scale_attn_by_inverse_layer_idx": false,
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  "scale_attn_weights": true,
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  "summary_activation": null,
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  "summary_first_dropout": 0.1,
 
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  "top_p": 0.95
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  }
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  },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.14.1",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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