metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: indic-bert-finetuned-legal_try_with_muril_more_ft
results: []
indic-bert-finetuned-legal_try_with_muril_more_ft
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4640
- Accuracy: 0.7865
- F1: 0.7846
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 32
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4266 | 1.0 | 625 | 0.4652 | 0.7925 | 0.7892 |
| 0.4163 | 2.0 | 1250 | 0.4640 | 0.7905 | 0.7868 |
| 0.4085 | 3.0 | 1875 | 0.4640 | 0.788 | 0.7867 |
| 0.4043 | 4.0 | 2500 | 0.4640 | 0.7865 | 0.7846 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.12.1+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3