boris commited on
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fe83489
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New model from https://wandb.ai/wandb/huggingtweets/runs/5uf3iuhw

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Files changed (4) hide show
  1. README.md +3 -3
  2. config.json +6 -4
  3. pytorch_model.bin +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -47,15 +47,15 @@ The model was trained on tweets from Vaush.
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  | Short tweets | 357 |
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  | Tweets kept | 1956 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/qq671ti1/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 @vaushv's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/szxjdg8v) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/szxjdg8v/artifacts) is logged and versioned.
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  ## How to use
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  | Short tweets | 357 |
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  | Tweets kept | 1956 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/kae7zvq9/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 @vaushv's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/5uf3iuhw) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/5uf3iuhw/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
@@ -1,5 +1,5 @@
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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"
@@ -12,11 +12,13 @@
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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  "n_ctx": 1024,
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- "n_embd": 768,
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- "n_head": 12,
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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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  {
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+ "_name_or_path": "gpt2-medium",
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  "activation_function": "gelu_new",
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  "architectures": [
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  "GPT2LMHeadModel"
 
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  "layer_norm_epsilon": 1e-05,
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  "model_type": "gpt2",
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  "n_ctx": 1024,
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+ "n_embd": 1024,
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+ "n_head": 16,
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  "n_inner": null,
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+ "n_layer": 24,
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  "n_positions": 1024,
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+ "n_special": 0,
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+ "predict_special_tokens": true,
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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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