| --- |
| library_name: transformers |
| base_model: syssec-utd/py314-pylingual-v8-mlm |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: py314-pylingual-v8-segmenter |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # py314-pylingual-v8-segmenter |
|
|
| This model is a fine-tuned version of [syssec-utd/py314-pylingual-v8-mlm](https://huggingface.co/syssec-utd/py314-pylingual-v8-mlm) on the syssec-utd/segmentation-py314-pylingual-v8-tokenized dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0156 |
| - Precision: 0.9928 |
| - Recall: 0.9936 |
| - F1: 0.9932 |
| - Accuracy: 0.9985 |
|
|
| ## 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: 64 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - total_train_batch_size: 256 |
| - total_eval_batch_size: 32 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.0313 | 1.0 | 20485 | 0.0193 | 0.9926 | 0.9924 | 0.9925 | 0.9983 | |
| | 0.0167 | 2.0 | 40970 | 0.0156 | 0.9928 | 0.9936 | 0.9932 | 0.9985 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.12.1 |
| - Pytorch 2.12.0+cu130 |
| - Datasets 5.0.0 |
| - Tokenizers 0.22.2 |
| |
