---
base_model: google/muril-large-cased
tags:
- generated_from_trainer
model-index:
- name: muril_large_finetuned
  results: []
---

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# muril_large_finetuned

This model is a fine-tuned version of [google/muril-large-cased](https://huggingface.co/google/muril-large-cased) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7227
- eval_accuracy: 0.7333
- eval_f1: 0.6131
- eval_runtime: 9.413
- eval_samples_per_second: 122.703
- eval_steps_per_second: 30.702
- epoch: 1.0
- step: 2599

## 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: 7.040797016244148e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2