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# bert-base-multilingual-cased-finetuned-train2

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0169
- eval_accuracy: 0.9974
- eval_f1: 0.9974
- eval_runtime: 86.9373
- eval_samples_per_second: 82.876
- eval_steps_per_second: 10.364
- epoch: 1.0
- step: 3602

## 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
- num_epochs: 3

### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-multilingual-cased", "model-index": [{"name": "bert-base-multilingual-cased-finetuned-train2", "results": []}]}
transformers pytorch bert next-sentence-prediction generated_from_trainer base_model:bert-base-multilingual-cased license:apache-2.0 endpoints_compatible region:us