File size: 2,682 Bytes
b086534 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
base_model: yihongLiu/furina
tags:
- generated_from_trainer
model-index:
- name: furina_seed42_eng_amh_hau_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_amh_hau_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: 0.0212
- Spearman Corr: 0.7804
## 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 | 0.52 | 200 | 0.0431 | 0.2948 |
| No log | 1.04 | 400 | 0.0295 | 0.6292 |
| No log | 1.55 | 600 | 0.0256 | 0.6932 |
| 0.0687 | 2.07 | 800 | 0.0237 | 0.7162 |
| 0.0687 | 2.59 | 1000 | 0.0237 | 0.7313 |
| 0.0687 | 3.11 | 1200 | 0.0231 | 0.7308 |
| 0.0687 | 3.63 | 1400 | 0.0222 | 0.7511 |
| 0.0309 | 4.15 | 1600 | 0.0218 | 0.7502 |
| 0.0309 | 4.66 | 1800 | 0.0218 | 0.7596 |
| 0.0309 | 5.18 | 2000 | 0.0210 | 0.7642 |
| 0.0309 | 5.7 | 2200 | 0.0203 | 0.7723 |
| 0.0268 | 6.22 | 2400 | 0.0207 | 0.7731 |
| 0.0268 | 6.74 | 2600 | 0.0203 | 0.7709 |
| 0.0268 | 7.25 | 2800 | 0.0211 | 0.7667 |
| 0.0268 | 7.77 | 3000 | 0.0231 | 0.7691 |
| 0.0236 | 8.29 | 3200 | 0.0225 | 0.7750 |
| 0.0236 | 8.81 | 3400 | 0.0216 | 0.7777 |
| 0.0236 | 9.33 | 3600 | 0.0222 | 0.7725 |
| 0.0236 | 9.84 | 3800 | 0.0212 | 0.7804 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
|