roberta-base_2023-11-19_01-39-11
This model is a fine-tuned version of roberta-base on the AEC v1 dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for msu-ceco/roberta-ft-on-agextcorpus-2023-12-10_v2
Base model
FacebookAI/roberta-base