Finished finetuning grade 7
Browse files- README.md +5 -5
- gpt2-grade-7-finetuned/adapter_config.json +34 -0
- gpt2-grade-7-finetuned/adapter_model.bin +3 -0
- training_args.bin +1 -1
README.md
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@@ -17,11 +17,12 @@ 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/qz6551rc)
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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/lm55kzij)
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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/nifhcrxt)
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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.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.5234 | 4.0 | 5716 | 0.4966 |
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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/qz6551rc)
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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/lm55kzij)
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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/nifhcrxt)
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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/ubay9iap)
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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: 0.5618
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6037 | 1.0 | 1039 | 0.5627 |
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| 0.5987 | 2.0 | 2078 | 0.5613 |
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| 0.595 | 3.0 | 3117 | 0.5618 |
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### Framework versions
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gpt2-grade-7-finetuned/adapter_config.json
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{
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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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"eva_config": null,
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"exclude_modules": null,
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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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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.01,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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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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"lm_head",
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"c_proj",
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"c_fc",
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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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gpt2-grade-7-finetuned/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:af66facabeeb12c1f8a74282a190c644ce83c15061f60ade3f1d46350d5c8943
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size 160776023
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5496
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version https://git-lfs.github.com/spec/v1
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oid sha256:463d343467f57b45585bd784fe42e4e67afcfbf02ff600bea92e98532f828e27
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size 5496
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