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# trainRanker_AR_VI_test_non_top_test

This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5874

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.693         | 0.32  | 200  | 0.6900          |
| 0.6843        | 0.64  | 400  | 0.6105          |
| 0.5981        | 0.96  | 600  | 0.5873          |
| 0.5851        | 1.28  | 800  | 0.5874          |
| 0.5863        | 1.6   | 1000 | 0.5874          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/Multilingual-MiniLM-L12-H384", "model-index": [{"name": "trainRanker_AR_VI_test_non_top_test", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:microsoft/Multilingual-MiniLM-L12-H384 license:mit autotrain_compatible endpoints_compatible region:us