---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_amh_cross_5e-06
  results: []
---

<!-- 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. -->

# furina_seed42_eng_kin_amh_cross_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: 0.0235
- Spearman Corr: 0.7429

## 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        | 0.59  | 200  | 0.0574          | 0.0907        |
| No log        | 1.17  | 400  | 0.0433          | 0.3618        |
| No log        | 1.76  | 600  | 0.0302          | 0.5602        |
| 0.0806        | 2.35  | 800  | 0.0310          | 0.6452        |
| 0.0806        | 2.93  | 1000 | 0.0311          | 0.6667        |
| 0.0806        | 3.52  | 1200 | 0.0341          | 0.6832        |
| 0.0313        | 4.11  | 1400 | 0.0263          | 0.6957        |
| 0.0313        | 4.69  | 1600 | 0.0366          | 0.7020        |
| 0.0313        | 5.28  | 1800 | 0.0311          | 0.7107        |
| 0.0313        | 5.87  | 2000 | 0.0340          | 0.7112        |
| 0.0257        | 6.45  | 2200 | 0.0251          | 0.7188        |
| 0.0257        | 7.04  | 2400 | 0.0229          | 0.7220        |
| 0.0257        | 7.62  | 2600 | 0.0243          | 0.7361        |
| 0.0226        | 8.21  | 2800 | 0.0217          | 0.7414        |
| 0.0226        | 8.8   | 3000 | 0.0231          | 0.7376        |
| 0.0226        | 9.38  | 3200 | 0.0233          | 0.7431        |
| 0.0226        | 9.97  | 3400 | 0.0257          | 0.7369        |
| 0.0199        | 10.56 | 3600 | 0.0241          | 0.7474        |
| 0.0199        | 11.14 | 3800 | 0.0253          | 0.7411        |
| 0.0199        | 11.73 | 4000 | 0.0257          | 0.7478        |
| 0.0178        | 12.32 | 4200 | 0.0267          | 0.7471        |
| 0.0178        | 12.9  | 4400 | 0.0235          | 0.7429        |


### Framework versions

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