pos-morph-analysis-eng

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pos-morph-analysis-eng

This model is a fine-tuned version of om-ashish-soni/pos-morph-analysis-eng on the universal_dependencies dataset. It achieves the following results on the evaluation set:

• Loss: 0.2354
• Precision: 0.9547
• Recall: 0.9594
• F1: 0.9571
• Accuracy: 0.9574

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3