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furina_seed42_eng_amh_hau_basic
Shijia/furina_seed42_eng_amh_hau_basic
furina_seed42_eng_amh_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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 14, 2024
- Updated
- Feb 14, 2024
- SHA
- 24646d50
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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_amh_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: 0.0202
- Spearman Corr: 0.7965
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 | 1.72 | 200 | 0.0245 | 0.7642 |
| 0.0761 | 3.45 | 400 | 0.0205 | 0.8068 |
| 0.0252 | 5.17 | 600 | 0.0201 | 0.8002 |
| 0.0185 | 6.9 | 800 | 0.0193 | 0.8106 |
| 0.0147 | 8.62 | 1000 | 0.0203 | 0.8017 |
| 0.0118 | 10.34 | 1200 | 0.0198 | 0.8021 |
| 0.0099 | 12.07 | 1400 | 0.0200 | 0.8029 |
| 0.0099 | 13.79 | 1600 | 0.0228 | 0.7997 |
| 0.0086 | 15.52 | 1800 | 0.0202 | 0.7982 |
| 0.0077 | 17.24 | 2000 | 0.0217 | 0.7921 |
| 0.0067 | 18.97 | 2200 | 0.0208 | 0.7985 |
| 0.0062 | 20.69 | 2400 | 0.0202 | 0.7965 |
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