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