---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_amh_cross_2e-05
  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_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: 0.0237
- Spearman Corr: 0.7281

## 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        | 0.59  | 200  | 0.0274          | 0.5858        |
| No log        | 1.17  | 400  | 0.0222          | 0.6777        |
| No log        | 1.76  | 600  | 0.0266          | 0.7074        |
| 0.0409        | 2.35  | 800  | 0.0264          | 0.7084        |
| 0.0409        | 2.93  | 1000 | 0.0214          | 0.7181        |
| 0.0409        | 3.52  | 1200 | 0.0209          | 0.7224        |
| 0.02          | 4.11  | 1400 | 0.0213          | 0.7251        |
| 0.02          | 4.69  | 1600 | 0.0246          | 0.7180        |
| 0.02          | 5.28  | 1800 | 0.0270          | 0.7267        |
| 0.02          | 5.87  | 2000 | 0.0232          | 0.7295        |
| 0.014         | 6.45  | 2200 | 0.0218          | 0.7259        |
| 0.014         | 7.04  | 2400 | 0.0238          | 0.7276        |
| 0.014         | 7.62  | 2600 | 0.0224          | 0.7192        |
| 0.0102        | 8.21  | 2800 | 0.0237          | 0.7281        |


### Framework versions

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