---
license: cc-by-4.0
base_model: l3cube-pune/marathi-bert-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: mbert1
  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. -->

# mbert1

This model is a fine-tuned version of [l3cube-pune/marathi-bert-v2](https://huggingface.co/l3cube-pune/marathi-bert-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6264
- Accuracy: 0.8422
- Precision: 0.8435
- Recall: 0.8422

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results



### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1