---
library_name: transformers
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: muril-base-cased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# muril-base-cased

This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4418
- Accuracy: 0.9048
- F1: 0.9048
- Precision: 0.9048
- Recall: 0.9048

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.9491        | 1.0   | 1091 | 0.8200          | 0.7436   | 0.7436 | 0.7436    | 0.7436 |
| 0.7678        | 2.0   | 2182 | 0.4488          | 0.8791   | 0.8791 | 0.8791    | 0.8791 |
| 0.5058        | 3.0   | 3273 | 0.4937          | 0.9011   | 0.9011 | 0.9011    | 0.9011 |
| 1.3151        | 4.0   | 4364 | 0.4514          | 0.8974   | 0.8974 | 0.8974    | 0.8974 |
| 0.4699        | 5.0   | 5455 | 0.4418          | 0.9048   | 0.9048 | 0.9048    | 0.9048 |


### Framework versions

- Transformers 4.52.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1