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# xlm-roberta-base_lr2e-05_seed42_basic_original_amh-hau-eng_train

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0295
- Spearman Corr: 0.7788

## 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: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|
| No log        | 1.55  | 200  | 0.0288          | 0.7700        |
| 0.0535        | 3.1   | 400  | 0.0262          | 0.7801        |
| 0.022         | 4.65  | 600  | 0.0266          | 0.7743        |
| 0.0167        | 6.2   | 800  | 0.0294          | 0.7817        |
| 0.0167        | 7.75  | 1000 | 0.0328          | 0.7672        |
| 0.0133        | 9.3   | 1200 | 0.0284          | 0.7777        |
| 0.0101        | 10.85 | 1400 | 0.0283          | 0.7836        |
| 0.0083        | 12.4  | 1600 | 0.0282          | 0.7796        |
| 0.0068        | 13.95 | 1800 | 0.0303          | 0.7774        |
| 0.0068        | 15.5  | 2000 | 0.0339          | 0.7734        |
| 0.0059        | 17.05 | 2200 | 0.0265          | 0.7750        |
| 0.0052        | 18.6  | 2400 | 0.0295          | 0.7788        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base_lr2e-05_seed42_basic_original_amh-hau-eng_train", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us