pos-morph-analysis-hn-pud
This model is a fine-tuned version of om-ashish-soni/pos-morph-analysis-hn-pud on the universal_dependencies dataset. It achieves the following results on the evaluation set:
- Loss: 0.8746
- Precision: 0.8583
- Recall: 0.8669
- F1: 0.8626
- Accuracy: 0.8504
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 88 | 0.8738 | 0.8625 | 0.8669 | 0.8647 | 0.8539 |
| No log | 2.0 | 176 | 0.9034 | 0.8506 | 0.8578 | 0.8542 | 0.8424 |
| No log | 3.0 | 264 | 0.9011 | 0.8608 | 0.8678 | 0.8643 | 0.8548 |
| No log | 4.0 | 352 | 0.8746 | 0.8583 | 0.8669 | 0.8626 | 0.8504 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3