boris commited on
Commit
5d99bbc
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1 Parent(s): e2c8900

New model from https://wandb.ai/wandb/huggingtweets/runs/3lz2o03t

Browse files
Files changed (5) hide show
  1. README.md +8 -8
  2. config.json +2 -0
  3. pytorch_model.bin +1 -1
  4. tokenizer_config.json +1 -1
  5. training_args.bin +3 -0
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/joebiden/1604374057833/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -51,11 +51,11 @@ The model was trained on [@joebiden's tweets](https://twitter.com/joebiden).
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  <tbody style='border-width:0'>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Tweets downloaded</td>
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- <td style='border-width:0'>3243</td>
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  </tr>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Retweets</td>
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- <td style='border-width:0'>188</td>
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  </tr>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Short tweets</td>
@@ -63,20 +63,20 @@ The model was trained on [@joebiden's tweets](https://twitter.com/joebiden).
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  </tr>
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  <tr style='border-width:0'>
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  <td style='border-width:0'>Tweets kept</td>
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- <td style='border-width:0'>3013</td>
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  </tr>
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  </tbody>
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  </table>
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- [Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/26fxz8r2/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 @joebiden's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/143jabx8) for full transparency and reproducibility.
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- At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/143jabx8/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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@@ -110,4 +110,4 @@ For more details, visit the project repository.
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  [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
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- <!--- random size file -->
 
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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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  <tbody style='border-width:0'>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Tweets downloaded</td>
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+ <td style='border-width:0'>3238</td>
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  </tr>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Retweets</td>
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+ <td style='border-width:0'>200</td>
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  </tr>
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  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
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  <td style='border-width:0'>Short tweets</td>
 
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  </tr>
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  <tr style='border-width:0'>
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  <td style='border-width:0'>Tweets kept</td>
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+ <td style='border-width:0'>2996</td>
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  </tr>
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  </tbody>
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  </table>
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/114nmayc/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 @joebiden's tweets.
76
 
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3lz2o03t) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3lz2o03t/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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  [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
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+ <!--- random size file -->
config.json CHANGED
@@ -1,4 +1,5 @@
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  {
 
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  "activation_function": "gelu_new",
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  "architectures": [
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  "GPT2LMHeadModel"
@@ -7,6 +8,7 @@
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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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+ "_name_or_path": "gpt2",
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  "activation_function": "gelu_new",
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  "architectures": [
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  "GPT2LMHeadModel"
 
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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",
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 510406559
 
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  size 510406559
tokenizer_config.json CHANGED
@@ -1 +1 @@
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- {"model_max_length": 1024}
 
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+ {"errors": "replace", "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 1024, "name_or_path": "gpt2"}
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:7159b724233d1b99f561cda692d34504b217cbea6e526a641eee671e40534d86
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+ size 1775