---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_esp_hau_basic_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_hau_basic_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: 0.0221
- Spearman Corr: 0.7567

## 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        | 1.45  | 200  | 0.0291          | 0.6127        |
| 0.0714        | 2.91  | 400  | 0.0240          | 0.7147        |
| 0.0265        | 4.36  | 600  | 0.0235          | 0.7297        |
| 0.0265        | 5.82  | 800  | 0.0266          | 0.7353        |
| 0.0199        | 7.27  | 1000 | 0.0225          | 0.7407        |
| 0.016         | 8.73  | 1200 | 0.0233          | 0.7521        |
| 0.0127        | 10.18 | 1400 | 0.0232          | 0.7541        |
| 0.0127        | 11.64 | 1600 | 0.0237          | 0.7530        |
| 0.0107        | 13.09 | 1800 | 0.0219          | 0.7558        |
| 0.0088        | 14.55 | 2000 | 0.0233          | 0.7486        |
| 0.0078        | 16.0  | 2200 | 0.0219          | 0.7540        |
| 0.0078        | 17.45 | 2400 | 0.0224          | 0.7545        |
| 0.007         | 18.91 | 2600 | 0.0230          | 0.7599        |
| 0.0062        | 20.36 | 2800 | 0.0217          | 0.7575        |
| 0.0062        | 21.82 | 3000 | 0.0225          | 0.7569        |
| 0.0058        | 23.27 | 3200 | 0.0220          | 0.7563        |
| 0.0054        | 24.73 | 3400 | 0.0226          | 0.7551        |
| 0.0052        | 26.18 | 3600 | 0.0223          | 0.7564        |
| 0.0052        | 27.64 | 3800 | 0.0222          | 0.7565        |
| 0.0049        | 29.09 | 4000 | 0.0221          | 0.7567        |


### Framework versions

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