This model is a fine-tuned version of syssec-utd/py38-pylingual-v1-mlm on the syssec-utd/segmentation-py38-pylingual-v1-tokenized dataset.
It achieves the following results on the evaluation set:
Loss: 0.0025
Precision: 0.9968
Recall: 0.9968
F1: 0.9968
Accuracy: 0.9992
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: 2e-05
train_batch_size: 48
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
