es_el
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the data_folder/esel 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: 3e-05
- train_batch_size: 96
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.0
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Model tree for huggingfaceaccountyx/es_el
Base model
google-bert/bert-base-multilingual-cased