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--- |
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license: apache-2.0 |
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base_model: google/bigbird-roberta-large |
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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: bigBird-large-fine-tuning-squad-B16R3_bias |
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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/radic2682-unist/bigBird-large-fine-tuning-squad-b16r3_bias/runs/y5gikiz9) |
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# bigBird-large-fine-tuning-squad-B16R3_bias |
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This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on the squad dataset. |
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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: 3e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 12 |
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- total_eval_batch_size: 16 |
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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: 3.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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