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Finished training grade 2

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README.md CHANGED
@@ -12,13 +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/4mf11grk)
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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/fkl8in2e)
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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: 0.9653
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  ## Model description
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@@ -47,13 +46,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 1.5549 | 1.0 | 3022 | 1.1338 |
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- | 1.1431 | 2.0 | 6044 | 1.0146 |
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- | 1.0544 | 3.0 | 9066 | 0.9736 |
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- | 1.0264 | 4.0 | 12088 | 0.9658 |
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- | 1.0198 | 5.0 | 15110 | 0.9653 |
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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/npazoj3b)
 
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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: 0.6855
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7433 | 1.0 | 235 | 0.8105 |
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+ | 0.828 | 2.0 | 470 | 0.7119 |
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+ | 0.7698 | 3.0 | 705 | 0.6963 |
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+ | 0.7587 | 4.0 | 940 | 0.6880 |
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+ | 0.753 | 5.0 | 1175 | 0.6855 |
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  ### Framework versions
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