varun-v-rao
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End of training
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README.md
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---
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tags:
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- adapter-transformers
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datasets:
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- squad
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---
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This
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##
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pip install -U adapters
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```
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from adapters import AutoAdapterModel
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adapter_name = model.load_adapter("varun-v-rao/t5-base-bn-adapter-1.79M-squad-model1", source="hf", set_active=True)
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```
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##
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## Citation
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---
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license: apache-2.0
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base_model: t5-base
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tags:
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- generated_from_trainer
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datasets:
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- varun-v-rao/squad
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model-index:
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- name: t5-base-bn-adapter-1.79M-squad-model1
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results: []
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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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# t5-base-bn-adapter-1.79M-squad-model1
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) 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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 4
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- seed: 90
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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
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Feb09_13-59-30_gl1528.arc-ts.umich.edu/events.out.tfevents.1707505176.gl1528.arc-ts.umich.edu.3444676.0
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squad/pytorch_adapter.bin
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squad/pytorch_model_head.bin
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