metadata
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: muril-base-cased-on-custom-kural-500
results: []
muril-base-cased-on-custom-kural-500
This model is a fine-tuned version of google/muril-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2369
- Accuracy: 0.93
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 25 | 0.6048 | 0.69 |
| No log | 2.0 | 50 | 0.5426 | 0.69 |
| No log | 3.0 | 75 | 0.4137 | 0.9 |
| No log | 4.0 | 100 | 0.3445 | 0.91 |
| No log | 5.0 | 125 | 0.3242 | 0.9 |
| No log | 6.0 | 150 | 0.2737 | 0.92 |
| No log | 7.0 | 175 | 0.2631 | 0.92 |
| No log | 8.0 | 200 | 0.2914 | 0.91 |
| No log | 9.0 | 225 | 0.2898 | 0.91 |
| No log | 10.0 | 250 | 0.2369 | 0.93 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2