transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:yihongLiu/furina autotrain_compatible endpoints_compatible region:us
---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_esp_kin_basic_5e-06
  results: []
---

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# furina_seed42_eng_esp_kin_basic_5e-06

This model is a fine-tuned version of [yihongLiu/furina](https://huggingface.co/yihongLiu/furina) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0246
- Spearman Corr: 0.7089

## 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        | 1.63  | 200  | 0.0555          | 0.1927        |
| 0.1485        | 3.27  | 400  | 0.0295          | 0.5212        |
| 0.0499        | 4.9   | 600  | 0.0270          | 0.5827        |
| 0.0297        | 6.53  | 800  | 0.0263          | 0.6144        |
| 0.025         | 8.16  | 1000 | 0.0274          | 0.6415        |
| 0.025         | 9.8   | 1200 | 0.0245          | 0.6578        |
| 0.0229        | 11.43 | 1400 | 0.0271          | 0.6716        |
| 0.0209        | 13.06 | 1600 | 0.0256          | 0.6775        |
| 0.0194        | 14.69 | 1800 | 0.0237          | 0.6853        |
| 0.0183        | 16.33 | 2000 | 0.0245          | 0.6979        |
| 0.0183        | 17.96 | 2200 | 0.0260          | 0.6951        |
| 0.0172        | 19.59 | 2400 | 0.0256          | 0.6999        |
| 0.0165        | 21.22 | 2600 | 0.0240          | 0.7056        |
| 0.0158        | 22.86 | 2800 | 0.0239          | 0.7050        |
| 0.0154        | 24.49 | 3000 | 0.0244          | 0.7078        |
| 0.0148        | 26.12 | 3200 | 0.0246          | 0.7087        |
| 0.0148        | 27.76 | 3400 | 0.0246          | 0.7089        |


### Framework versions

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