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# xlm-roberta-base_seed42_kin-hau-eng_train

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0254
- Spearman Corr: 0.7534

## 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        | 0.59  | 200  | 0.0351          | 0.6323        |
| No log        | 1.18  | 400  | 0.0300          | 0.6600        |
| No log        | 1.77  | 600  | 0.0363          | 0.6813        |
| 0.0437        | 2.36  | 800  | 0.0286          | 0.6950        |
| 0.0437        | 2.95  | 1000 | 0.0267          | 0.7045        |
| 0.0437        | 3.55  | 1200 | 0.0266          | 0.7052        |
| 0.0264        | 4.14  | 1400 | 0.0299          | 0.7076        |
| 0.0264        | 4.73  | 1600 | 0.0318          | 0.7222        |
| 0.0264        | 5.32  | 1800 | 0.0260          | 0.7223        |
| 0.0264        | 5.91  | 2000 | 0.0263          | 0.7353        |
| 0.0197        | 6.5   | 2200 | 0.0282          | 0.7256        |
| 0.0197        | 7.09  | 2400 | 0.0284          | 0.7231        |
| 0.0197        | 7.68  | 2600 | 0.0256          | 0.7311        |
| 0.0148        | 8.27  | 2800 | 0.0250          | 0.7307        |
| 0.0148        | 8.86  | 3000 | 0.0281          | 0.7365        |
| 0.0148        | 9.45  | 3200 | 0.0271          | 0.7387        |
| 0.0112        | 10.04 | 3400 | 0.0257          | 0.7375        |
| 0.0112        | 10.64 | 3600 | 0.0253          | 0.7414        |
| 0.0112        | 11.23 | 3800 | 0.0267          | 0.7472        |
| 0.0112        | 11.82 | 4000 | 0.0278          | 0.7421        |
| 0.009         | 12.41 | 4200 | 0.0263          | 0.7428        |
| 0.009         | 13.0  | 4400 | 0.0247          | 0.7532        |
| 0.009         | 13.59 | 4600 | 0.0280          | 0.7532        |
| 0.0073        | 14.18 | 4800 | 0.0285          | 0.7538        |
| 0.0073        | 14.77 | 5000 | 0.0243          | 0.7557        |
| 0.0073        | 15.36 | 5200 | 0.0246          | 0.7581        |
| 0.0073        | 15.95 | 5400 | 0.0265          | 0.7534        |
| 0.0061        | 16.54 | 5600 | 0.0249          | 0.7516        |
| 0.0061        | 17.13 | 5800 | 0.0284          | 0.7515        |
| 0.0061        | 17.73 | 6000 | 0.0258          | 0.7533        |
| 0.0053        | 18.32 | 6200 | 0.0256          | 0.7517        |
| 0.0053        | 18.91 | 6400 | 0.0252          | 0.7554        |
| 0.0053        | 19.5  | 6600 | 0.0254          | 0.7534        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base_seed42_kin-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