Instructions to use ElMad/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ElMad/model with PEFT:
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- Notebooks
- Google Colab
- Kaggle
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Download README.md from ElMad/model: direct link, hf CLI and curl.
- Browser
- Download file 1.17 kB
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https://huggingface.co/ElMad/model/resolve/main/README.md
- Command line
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hf download hf://ElMad/model/README.md
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curl -L -o README.md https://huggingface.co/ElMad/model/resolve/main/README.md
1.17 kB
metadata
library_name: peft
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: model
results: []
model
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3