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Finished training grade 6

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README.md CHANGED
@@ -14,11 +14,12 @@ 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/5ozxb4rl)
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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/1f1dh78t)
 
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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: 0.8081
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  ## Model description
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@@ -49,9 +50,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.2794 | 1.0 | 2347 | 0.9087 |
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- | 0.9203 | 2.0 | 4694 | 0.8232 |
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- | 0.8704 | 3.0 | 7041 | 0.8081 |
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  ### Framework versions
 
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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/5ozxb4rl)
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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/1f1dh78t)
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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/9x3e5oga)
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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: 0.8540
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.436 | 1.0 | 2857 | 1.0039 |
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+ | 1.0353 | 2.0 | 5714 | 0.8862 |
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+ | 0.9555 | 3.0 | 8571 | 0.8540 |
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  ### Framework versions
gpt2-grade-6-4module/adapter_config.json ADDED
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "openai-community/gpt2",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.01,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "c_fc",
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+ "lm_head",
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+ "c_proj",
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+ "c_attn"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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