---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_esp_kin_cross_2e-05
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# furina_seed42_eng_esp_kin_cross_2e-05

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: 0.0335
- Spearman Corr: 0.6959

## 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        | 0.54  | 200  | 0.0281          | 0.5941        |
| No log        | 1.09  | 400  | 0.0275          | 0.6376        |
| No log        | 1.63  | 600  | 0.0315          | 0.6611        |
| 0.0455        | 2.18  | 800  | 0.0353          | 0.6782        |
| 0.0455        | 2.72  | 1000 | 0.0285          | 0.6742        |
| 0.0455        | 3.27  | 1200 | 0.0346          | 0.6939        |
| 0.0455        | 3.81  | 1400 | 0.0283          | 0.7036        |
| 0.0196        | 4.35  | 1600 | 0.0313          | 0.7062        |
| 0.0196        | 4.9   | 1800 | 0.0271          | 0.6843        |
| 0.0196        | 5.44  | 2000 | 0.0339          | 0.7009        |
| 0.0196        | 5.99  | 2200 | 0.0316          | 0.6995        |
| 0.0136        | 6.53  | 2400 | 0.0297          | 0.6977        |
| 0.0136        | 7.07  | 2600 | 0.0326          | 0.6939        |
| 0.0136        | 7.62  | 2800 | 0.0336          | 0.6878        |
| 0.0094        | 8.16  | 3000 | 0.0370          | 0.6861        |
| 0.0094        | 8.71  | 3200 | 0.0328          | 0.6900        |
| 0.0094        | 9.25  | 3400 | 0.0335          | 0.6959        |


### Framework versions

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