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README.md ADDED
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+ ---
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+ tags:
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+ - adapter-transformers
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+ - roberta
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+ datasets:
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+ - BigTMiami/amazon_MICRO_helpfulness_dataset
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+ ---
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+
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+ # Adapter `BigTMiami/micro_par_bn_v_1_class_no_pre_0_adapter` for roberta-base
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+
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+ An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_MICRO_helpfulness_dataset](https://huggingface.co/datasets/BigTMiami/amazon_MICRO_helpfulness_dataset/) dataset and includes a prediction head for classification.
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+
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+ This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
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+
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+ ## Usage
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+
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+ First, install `adapters`:
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+
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+ ```
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+ pip install -U adapters
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+ ```
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+
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+ Now, the adapter can be loaded and activated like this:
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+
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+ ```python
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+ from adapters import AutoAdapterModel
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+
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+ model = AutoAdapterModel.from_pretrained("roberta-base")
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+ adapter_name = model.load_adapter("BigTMiami/micro_par_bn_v_1_class_no_pre_0_adapter", source="hf", set_active=True)
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+ ```
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+
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+ ## Architecture & Training
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+
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+ <!-- Add some description here -->
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+
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+ ## Evaluation results
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+
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+ <!-- Add some description here -->
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+
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+ ## Citation
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+
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+ <!-- Add some description here -->
adapter_config.json ADDED
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+ {
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+ "config": {
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+ "adapter_residual_before_ln": false,
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+ "cross_adapter": false,
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+ "factorized_phm_W": true,
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+ "factorized_phm_rule": false,
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+ "hypercomplex_nonlinearity": "glorot-uniform",
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+ "init_weights": "mam_adapter",
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+ "inv_adapter": null,
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+ "inv_adapter_reduction_factor": null,
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+ "is_parallel": true,
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+ "learn_phm": true,
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+ "leave_out": [],
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+ "ln_after": false,
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+ "ln_before": false,
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+ "mh_adapter": false,
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+ "non_linearity": "relu",
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+ "original_ln_after": true,
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+ "original_ln_before": false,
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+ "output_adapter": 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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+ "phm_init_range": 0.0001,
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+ "phm_layer": false,
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+ "phm_rank": 1,
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+ "reduction_factor": 16,
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+ "residual_before_ln": true,
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+ "scaling": 4.0,
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+ "shared_W_phm": false,
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+ "shared_phm_rule": true,
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+ "use_gating": false
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+ },
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+ "hidden_size": 768,
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+ "model_class": "RobertaAdapterModel",
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+ "model_name": "roberta-base",
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+ "model_type": "roberta",
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+ "name": "micro_par_bn_v_1_class_no_pre_0",
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+ "version": "0.1.2"
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+ }
head_config.json ADDED
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+ {
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+ "config": {
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+ "activation_function": "tanh",
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+ "bias": true,
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+ "dropout_prob": null,
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+ "head_type": "classification",
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+ "label2id": {
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+ "helpful": 1,
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+ "unhelpful": 0
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+ },
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+ "layers": 2,
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+ "num_labels": 2,
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+ "use_pooler": false
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+ },
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+ "hidden_size": 768,
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+ "model_class": "RobertaAdapterModel",
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+ "model_name": "roberta-base",
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+ "model_type": "roberta",
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+ "name": "micro_par_bn_v_1_class_no_pre_0",
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+ "version": "0.1.2"
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+ }
pytorch_adapter.bin ADDED
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pytorch_model_head.bin ADDED
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