varun-v-rao commited on
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End of training

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README.md CHANGED
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  ---
 
 
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  tags:
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- - bert
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- - adapter-transformers
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  datasets:
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- - squad
 
 
 
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  ---
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- # Adapter `varun-v-rao/bert-large-cased-bn-adapter-3.17M-squad-model2` for bert-large-cased
 
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- An [adapter](https://adapterhub.ml) for the `bert-large-cased` model that was trained on the [squad](https://huggingface.co/datasets/squad/) dataset.
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- This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
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- ## Usage
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- First, install `adapters`:
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- ```
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- pip install -U adapters
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- ```
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- Now, the adapter can be loaded and activated like this:
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- ```python
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- from adapters import AutoAdapterModel
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- model = AutoAdapterModel.from_pretrained("bert-large-cased")
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- adapter_name = model.load_adapter("varun-v-rao/bert-large-cased-bn-adapter-3.17M-squad-model2", source="hf", set_active=True)
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- ```
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- ## Architecture & Training
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- <!-- Add some description here -->
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- ## Evaluation results
 
 
 
 
 
 
 
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- <!-- Add some description here -->
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- ## Citation
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- <!-- Add some description here -->
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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+ base_model: bert-large-cased
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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: bert-large-cased-bn-adapter-3.17M-squad-model2
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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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+ # bert-large-cased-bn-adapter-3.17M-squad-model2
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+ This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) 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: 79
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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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+
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+ ### Framework versions
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+
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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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+ "factorized_phm_W": true,
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+ "phm_bias": true,
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+ "phm_c_init": "normal",
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+ "phm_dim": 4,
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+ "use_gating": false
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+ },
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+ "config_id": "9076f36a74755ac4",
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+ "hidden_size": 1024,
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+ "model_class": "BertForQuestionAnswering",
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+ "model_name": "bert-large-cased",
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+ "model_type": "bert",
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+ "name": "squad",
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+ "version": "0.1.1"
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+ }
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