pos-polish-gpt2-small

This model was trained from polish-gpt2-small on clarin-pl/nkjp-pos dataset. It achieves the following results on the evaluation set:

• Loss: 0.3109
• Precision: 0.8793
• Recall: 0.9255
• F1: 0.9018
• Accuracy: 0.9371

Model description

Trained from polish-gpt2-small

Intended uses & limitations

Part-of-speech tagging for Polish language. Tags description at the bottom of http://nkjp.pl/poliqarp/help/plse2.html

Training and evaluation data

Dataset: clarin-pl/nkjp-pos

Datacollator:

from transformers import DataCollatorForTokenClassification
data_collator = DataCollatorForTokenClassification(tokenizer=tokenizer)

Training procedure

GPU: RTX 3090

Training time: 00:50:24

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0