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# trainRanker_test_EN_EN

This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1997

## 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: 750
- training_steps: 25000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3064        | 0.04  | 2500  | 0.2716          |
| 0.273         | 0.08  | 5000  | 0.2353          |
| 0.2569        | 0.12  | 7500  | 0.2383          |
| 0.2363        | 0.16  | 10000 | 0.2345          |
| 0.2238        | 0.2   | 12500 | 0.2102          |
| 0.2354        | 0.24  | 15000 | 0.2089          |
| 0.2085        | 0.28  | 17500 | 0.2161          |
| 0.2125        | 0.32  | 20000 | 0.1995          |
| 0.217         | 0.36  | 22500 | 0.1975          |
| 0.2236        | 0.4   | 25000 | 0.1997          |


### 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_test_EN_EN", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:microsoft/Multilingual-MiniLM-L12-H384 license:mit autotrain_compatible endpoints_compatible region:us