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updated the dataset used for MLM
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---
license: apache-2.0
base_model: roberta-base
model-index:
- name: roberta-base_2023-11-19
results: []
---
# roberta-base_2023-11-19_01-39-11
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the [AEC v1](https://huggingface.co/datasets/msu-ceco/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