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--- |
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license: apache-2.0 |
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base_model: google/bigbird-roberta-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad |
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model-index: |
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- name: NF-bigbird-squad |
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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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# NF-bigbird-squad |
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This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0218 |
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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: 2 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 64 |
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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_steps: 160 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0526 | 1.0 | 1095 | 1.1762 | |
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| 0.8623 | 2.0 | 2190 | 1.0830 | |
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| 0.8911 | 3.0 | 3285 | 1.0327 | |
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| 0.9511 | 4.0 | 4380 | 1.0218 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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