williamplacroix commited on
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Finished 2-12 grades: all pretraining

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README.md CHANGED
@@ -12,12 +12,12 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uds/Graded%20text%20simplification%20training/runs/3485jyyq)
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  # text-simplification
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- This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0508
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  ## Model description
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@@ -42,15 +42,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 3.3444 | 1.0 | 235 | 1.1826 |
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- | 1.1887 | 2.0 | 470 | 1.0908 |
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- | 1.1229 | 3.0 | 705 | 1.0508 |
 
 
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  ### Framework versions
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uds/Graded%20text%20simplification%20training/runs/ln6u9a0b)
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  # text-simplification
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+ This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9731
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.3985 | 1.0 | 4932 | 1.0293 |
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+ | 1.0529 | 2.0 | 9864 | 0.9585 |
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+ | 1.0185 | 3.0 | 14796 | 0.9590 |
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+ | 1.0209 | 4.0 | 19728 | 0.9688 |
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+ | 1.0245 | 5.0 | 24660 | 0.9731 |
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  ### Framework versions
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@@ -20,9 +20,9 @@
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  "task_type": "CAUSAL_LM",
 
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  "target_modules": [
 
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