metadata
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: punjabi-muril-ner
results: []
punjabi-muril-ner
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1230
- Precision: 0.6712
- Recall: 0.5389
- F1: 0.5978
- Accuracy: 0.9778
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3756 | 1.0 | 1613 | 0.2888 | 0.0 | 0.0 | 0.0 | 0.9551 |
| 0.1773 | 2.0 | 3226 | 0.1430 | 0.6314 | 0.4846 | 0.5484 | 0.9749 |
| 0.1247 | 3.0 | 4839 | 0.1230 | 0.6712 | 0.5389 | 0.5978 | 0.9778 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0