
<!-- 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_lr5e-06_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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0329
- Spearman Corr: 0.7200

## 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: 5e-06
- 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        | 0.53  | 200  | 0.0362          | 0.6054        |
| No log        | 1.06  | 400  | 0.0338          | 0.6399        |
| No log        | 1.6   | 600  | 0.0332          | 0.6716        |
| 0.0465        | 2.13  | 800  | 0.0317          | 0.6803        |
| 0.0465        | 2.66  | 1000 | 0.0403          | 0.6755        |
| 0.0465        | 3.19  | 1200 | 0.0352          | 0.6892        |
| 0.0465        | 3.72  | 1400 | 0.0353          | 0.6939        |
| 0.033         | 4.26  | 1600 | 0.0365          | 0.6893        |
| 0.033         | 4.79  | 1800 | 0.0312          | 0.6972        |
| 0.033         | 5.32  | 2000 | 0.0342          | 0.7104        |
| 0.033         | 5.85  | 2200 | 0.0303          | 0.7148        |
| 0.0282        | 6.38  | 2400 | 0.0345          | 0.7135        |
| 0.0282        | 6.91  | 2600 | 0.0341          | 0.7197        |
| 0.0282        | 7.45  | 2800 | 0.0341          | 0.7135        |
| 0.0282        | 7.98  | 3000 | 0.0309          | 0.7189        |
| 0.0248        | 8.51  | 3200 | 0.0325          | 0.7207        |
| 0.0248        | 9.04  | 3400 | 0.0322          | 0.7129        |
| 0.0248        | 9.57  | 3600 | 0.0329          | 0.7201        |
| 0.0221        | 10.11 | 3800 | 0.0309          | 0.7220        |
| 0.0221        | 10.64 | 4000 | 0.0329          | 0.7227        |
| 0.0221        | 11.17 | 4200 | 0.0329          | 0.7200        |


### 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_lr5e-06_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