metadata

base_model: google-bert/bert-base-multilingual-cased
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: fine-tuned-bertMultilingual-cased
    results: []

fine-tuned-bertMultilingual-cased

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.4102
eval_accuracy: {'accuracy': 0.79}
eval_f1score: {'f1': 0.7708129196876928}
eval_runtime: 8.7984
eval_samples_per_second: 34.097
eval_steps_per_second: 4.319
step: 0

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 65
num_epochs: 20

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1