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--- |
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license: apache-2.0 |
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base_model: VMware/roberta-base-mrqa |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-vmw-mrqa-s |
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results: [] |
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--- |
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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/favcowboy/huggingface/runs/v37hcc55) |
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# roberta-vmw-mrqa-s |
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This model is a fine-tuned version of [VMware/roberta-base-mrqa](https://huggingface.co/VMware/roberta-base-mrqa) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2333 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 20 |
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- eval_batch_size: 20 |
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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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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.149 | 0.0357 | 50 | 1.2558 | |
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| 1.1432 | 0.0715 | 100 | 1.2662 | |
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| 1.1559 | 0.1072 | 150 | 1.2555 | |
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| 1.2238 | 0.1430 | 200 | 1.2339 | |
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| 1.1742 | 0.1787 | 250 | 1.2422 | |
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| 1.169 | 0.2144 | 300 | 1.2393 | |
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| 1.1487 | 0.2502 | 350 | 1.2296 | |
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| 1.163 | 0.2859 | 400 | 1.2310 | |
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| 1.1779 | 0.3217 | 450 | 1.2311 | |
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| 1.1303 | 0.3574 | 500 | 1.2333 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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