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--- |
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base_model: mrm8488/longformer-base-4096-finetuned-squadv2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MRR-sqv2-long |
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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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# MRR-sqv2-long |
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This model is a fine-tuned version of [mrm8488/longformer-base-4096-finetuned-squadv2](https://huggingface.co/mrm8488/longformer-base-4096-finetuned-squadv2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2581 |
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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: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.215 | 1.0 | 11811 | 1.0751 | |
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| 0.8617 | 2.0 | 23622 | 0.9498 | |
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| 0.8639 | 3.0 | 35433 | 1.0341 | |
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| 0.7073 | 4.0 | 47244 | 0.9740 | |
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| 0.6156 | 5.0 | 59055 | 1.0663 | |
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| 0.5489 | 6.0 | 70866 | 1.0665 | |
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| 0.4932 | 7.0 | 82677 | 1.2496 | |
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| 0.527 | 8.0 | 94488 | 1.1351 | |
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| 0.3722 | 9.0 | 106299 | 1.1568 | |
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| 0.3599 | 10.0 | 118110 | 1.2581 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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