Downloads · 30 days
7
19% of all-time downloads
furina_seed42_eng_kin_hau_basic
Shijia/furina_seed42_eng_kin_hau_basic
furina_seed42_eng_kin_hau_basic is a text classification model from Shijia. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
36
Public
Parameters
394M
1.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.6 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024
- SHA
- 9ddf513a
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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
This model is a fine-tuned version of yihongLiu/furina on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0273
- Spearman Corr: 0.8040
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 | 1.77 | 200 | 0.0339 | 0.7391 |
| 0.0845 | 3.54 | 400 | 0.0337 | 0.7909 |
| 0.0273 | 5.31 | 600 | 0.0228 | 0.8081 |
| 0.0199 | 7.08 | 800 | 0.0229 | 0.8163 |
| 0.0152 | 8.85 | 1000 | 0.0241 | 0.8102 |
| 0.0123 | 10.62 | 1200 | 0.0278 | 0.8168 |
| 0.0102 | 12.39 | 1400 | 0.0282 | 0.8072 |
| 0.0087 | 14.16 | 1600 | 0.0210 | 0.8108 |
| 0.008 | 15.93 | 1800 | 0.0234 | 0.8106 |
| 0.008 | 17.7 | 2000 | 0.0278 | 0.8059 |
| 0.0069 | 19.47 | 2200 | 0.0308 | 0.8107 |
| 0.0063 | 21.24 | 2400 | 0.0257 | 0.8127 |
| 0.0057 | 23.01 | 2600 | 0.0257 | 0.8095 |
| 0.0055 | 24.78 | 2800 | 0.0250 | 0.8077 |
| 0.0051 | 26.55 | 3000 | 0.0252 | 0.8055 |
| 0.005 | 28.32 | 3200 | 0.0273 | 0.8040 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024