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# xlm-roberta-base_eng_loss_2e-05

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: 0.0216
- Spearman Corr: 0.7794

## 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        | 1.33  | 200  | 0.0234          | 0.7788        |
| 0.0013        | 2.66  | 400  | 0.0221          | 0.7784        |
| 0.0011        | 3.99  | 600  | 0.0215          | 0.7782        |
| 0.0011        | 5.32  | 800  | 0.0217          | 0.7777        |
| 0.0011        | 6.64  | 1000 | 0.0213          | 0.7778        |
| 0.001         | 7.97  | 1200 | 0.0220          | 0.7797        |
| 0.001         | 9.3   | 1400 | 0.0218          | 0.7801        |
| 0.0009        | 10.63 | 1600 | 0.0218          | 0.7790        |
| 0.0009        | 11.96 | 1800 | 0.0218          | 0.7788        |
| 0.0009        | 13.29 | 2000 | 0.0215          | 0.7791        |
| 0.0008        | 14.62 | 2200 | 0.0222          | 0.7804        |
| 0.0008        | 15.95 | 2400 | 0.0213          | 0.7802        |
| 0.0008        | 17.28 | 2600 | 0.0216          | 0.7794        |


### 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_eng_loss_2e-05", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us