---
library_name: transformers
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Paraphrase_Muril_onfull
  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. -->

# Paraphrase_Muril_onfull

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: 0.3826
- Accuracy: 0.8765
- F1: 0.8764

## 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: 4.845270580652351e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5473        | 1.0   | 157  | 0.5153          | 0.778    | 0.7696 |
| 0.3562        | 2.0   | 314  | 0.3696          | 0.861    | 0.8610 |
| 0.2018        | 3.0   | 471  | 0.3483          | 0.8705   | 0.8704 |
| 0.1973        | 4.0   | 628  | 0.3510          | 0.876    | 0.8760 |
| 0.1534        | 5.0   | 785  | 0.3826          | 0.8765   | 0.8764 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0