Model save
Browse files- README.md +55 -0
- model.safetensors +1 -1
- runs/events.out.tfevents.1723721600.isl-gpu4.1694149.0 +2 -2
README.md
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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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model-index:
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- name: bigBird-large-fine-tuning-squad-B16R1_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-b16r1_bias/runs/0j9jq8s8)
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# bigBird-large-fine-tuning-squad-B16R1_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 an unknown 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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### 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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