---
license: apache-2.0
base_model: google/muril-base-cased
tags:
- classification
- generated_from_trainer
model-index:
- name: MuRIL_relevance
  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_relevance

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: 0.0264

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.98  | 39   | 0.6917          |
| 0.6907        | 1.98  | 78   | 0.6750          |
| 0.6787        | 2.99  | 118  | 0.6189          |
| 0.6125        | 3.99  | 158  | 0.5301          |
| 0.6125        | 4.92  | 195  | 0.3716          |
| 0.3659        | 5.98  | 234  | 0.2228          |
| 0.2697        | 6.96  | 273  | 0.1203          |
| 0.1038        | 7.98  | 312  | 0.0648          |
| 0.0607        | 8.96  | 351  | 0.0458          |
| 0.0607        | 9.98  | 390  | 0.0264          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2