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---
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
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