This model is a fine-tuned version of syssec-utd/py313-pylingual-v1.3-mlm on the syssec-utd/segmentation-py313-pylingual-v2-tokenized dataset.
It achieves the following results on the evaluation set:
Loss: 0.0007
Precision: 0.9985
Recall: 0.9980
F1: 0.9982
Accuracy: 0.9996
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
num_devices: 3
total_train_batch_size: 144
total_eval_batch_size: 24
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
