metadata
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: hindi-muril-ner
results: []
hindi-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: 0.0006
- Precision: 0.9963
- Recall: 0.9984
- F1: 0.9973
- Accuracy: 0.9997
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 |
|---|---|---|---|---|---|---|---|
| 0.0065 | 1.0 | 47891 | 0.0044 | 0.9866 | 0.9900 | 0.9883 | 0.9988 |
| 0.0016 | 2.0 | 95782 | 0.0011 | 0.9952 | 0.9975 | 0.9963 | 0.9996 |
| 0.0008 | 3.0 | 143673 | 0.0006 | 0.9963 | 0.9984 | 0.9973 | 0.9997 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3