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---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_kin_hau_basic_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_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: 0.0261
- Spearman Corr: 0.7485
## 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 | 1.59 | 200 | 0.0355 | 0.6099 |
| 0.0837 | 3.19 | 400 | 0.0284 | 0.7050 |
| 0.0265 | 4.78 | 600 | 0.0265 | 0.7290 |
| 0.0202 | 6.37 | 800 | 0.0257 | 0.7317 |
| 0.0153 | 7.97 | 1000 | 0.0252 | 0.7333 |
| 0.0153 | 9.56 | 1200 | 0.0254 | 0.7464 |
| 0.0126 | 11.16 | 1400 | 0.0243 | 0.7483 |
| 0.0109 | 12.75 | 1600 | 0.0254 | 0.7467 |
| 0.009 | 14.34 | 1800 | 0.0253 | 0.7463 |
| 0.0081 | 15.94 | 2000 | 0.0259 | 0.7450 |
| 0.0081 | 17.53 | 2200 | 0.0258 | 0.7454 |
| 0.0072 | 19.12 | 2400 | 0.0249 | 0.7474 |
| 0.0066 | 20.72 | 2600 | 0.0264 | 0.7453 |
| 0.0061 | 22.31 | 2800 | 0.0252 | 0.7463 |
| 0.0057 | 23.9 | 3000 | 0.0261 | 0.7485 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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