
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# xlm-roberta-base_original_kin-amh-eng_train_spearman_corr

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: 0.0298
- Spearman Corr: 0.7549

## 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        | 1.75  | 200  | 0.0259          | 0.7039        |
| 0.0435        | 3.51  | 400  | 0.0246          | 0.7125        |
| 0.0203        | 5.26  | 600  | 0.0272          | 0.7445        |
| 0.0142        | 7.02  | 800  | 0.0322          | 0.7419        |
| 0.0112        | 8.77  | 1000 | 0.0286          | 0.7447        |
| 0.0091        | 10.53 | 1200 | 0.0293          | 0.7442        |
| 0.0074        | 12.28 | 1400 | 0.0313          | 0.7552        |
| 0.0064        | 14.04 | 1600 | 0.0284          | 0.7563        |
| 0.0064        | 15.79 | 1800 | 0.0304          | 0.7570        |
| 0.0053        | 17.54 | 2000 | 0.0309          | 0.7540        |
| 0.0046        | 19.3  | 2200 | 0.0301          | 0.7557        |
| 0.0042        | 21.05 | 2400 | 0.0305          | 0.7558        |
| 0.0039        | 22.81 | 2600 | 0.0286          | 0.7569        |
| 0.0036        | 24.56 | 2800 | 0.0285          | 0.7591        |
| 0.0034        | 26.32 | 3000 | 0.0282          | 0.7575        |
| 0.0033        | 28.07 | 3200 | 0.0291          | 0.7538        |
| 0.0033        | 29.82 | 3400 | 0.0298          | 0.7549        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+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_original_kin-amh-eng_train_spearman_corr", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us