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# trainRanker_test_test

This model is a fine-tuned version of [nreimers/mMiniLMv2-L6-H384-distilled-from-XLMR-Large](https://huggingface.co/nreimers/mMiniLMv2-L6-H384-distilled-from-XLMR-Large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4322

## 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: 0.5
- 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6929        | 0.16  | 200  | 0.6925          |
| 0.6907        | 0.32  | 400  | 0.5492          |
| 0.4975        | 0.48  | 600  | 0.4721          |
| 0.4584        | 0.64  | 800  | 0.4444          |
| 0.4596        | 0.8   | 1000 | 0.4309          |
| 0.4431        | 0.96  | 1200 | 0.4338          |
| 0.4233        | 1.12  | 1400 | 0.4322          |
| 0.4451        | 1.28  | 1600 | 0.4322          |
| 0.4346        | 1.44  | 1800 | 0.4322          |
| 0.4239        | 1.6   | 2000 | 0.4322          |


### Framework versions

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

{"tags": ["generated_from_trainer"], "base_model": "nreimers/mMiniLMv2-L6-H384-distilled-from-XLMR-Large", "model-index": [{"name": "trainRanker_test_test", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:nreimers/mMiniLMv2-L6-H384-distilled-from-XLMR-Large autotrain_compatible endpoints_compatible region:us