metadata
license: apache-2.0
base_model: VMware/roberta-base-mrqa
tags:
- generated_from_trainer
model-index:
- name: roberta-vmw-mrqa
results: []
datasets:
- enriquesaou/mrqa-squadded-sample
roberta-vmw-mrqa
This model is a fine-tuned version of VMware/roberta-base-mrqa on a MRQA sample.
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: 3e-06
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1