---
base_model: google-bert/bert-base-multilingual-cased
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-f1-durga-muhammad-b
  results: []
---

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# bert-f1-durga-muhammad-b

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0000
- eval_accuracy: 1.0
- eval_precision: 1.0
- eval_recall: 1.0
- eval_f1: 1.0
- eval_runtime: 27.3528
- eval_samples_per_second: 36.559
- eval_steps_per_second: 1.535
- epoch: 68.8095
- step: 2890

## 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: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1000

### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1