---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_amh_cross_0.0001
  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_0.0001

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: 0.0269
- Spearman Corr: 0.7365

## 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: 0.0001
- 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  | 0.0342          | 0.5390        |
| No log        | 1.17  | 400  | 0.0309          | 0.4762        |
| No log        | 1.76  | 600  | 0.0333          | 0.6360        |
| 0.0424        | 2.35  | 800  | 0.0407          | 0.6425        |
| 0.0424        | 2.93  | 1000 | 0.0304          | 0.6871        |
| 0.0424        | 3.52  | 1200 | 0.0316          | 0.6953        |
| 0.0231        | 4.11  | 1400 | 0.0249          | 0.7122        |
| 0.0231        | 4.69  | 1600 | 0.0405          | 0.7040        |
| 0.0231        | 5.28  | 1800 | 0.0365          | 0.7094        |
| 0.0231        | 5.87  | 2000 | 0.0327          | 0.7062        |
| 0.0155        | 6.45  | 2200 | 0.0258          | 0.6996        |
| 0.0155        | 7.04  | 2400 | 0.0324          | 0.7080        |
| 0.0155        | 7.62  | 2600 | 0.0265          | 0.7257        |
| 0.0095        | 8.21  | 2800 | 0.0297          | 0.7239        |
| 0.0095        | 8.8   | 3000 | 0.0244          | 0.7276        |
| 0.0095        | 9.38  | 3200 | 0.0282          | 0.7339        |
| 0.0095        | 9.97  | 3400 | 0.0290          | 0.7252        |
| 0.0064        | 10.56 | 3600 | 0.0242          | 0.7284        |
| 0.0064        | 11.14 | 3800 | 0.0239          | 0.7332        |
| 0.0064        | 11.73 | 4000 | 0.0248          | 0.7300        |
| 0.0049        | 12.32 | 4200 | 0.0258          | 0.7320        |
| 0.0049        | 12.9  | 4400 | 0.0246          | 0.7271        |
| 0.0049        | 13.49 | 4600 | 0.0269          | 0.7373        |
| 0.0038        | 14.08 | 4800 | 0.0285          | 0.7336        |
| 0.0038        | 14.66 | 5000 | 0.0262          | 0.7316        |
| 0.0038        | 15.25 | 5200 | 0.0279          | 0.7320        |
| 0.0038        | 15.84 | 5400 | 0.0269          | 0.7365        |


### Framework versions

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