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furina_seed42_eng_kin_amh_basic
Shijia/furina_seed42_eng_kin_amh_basic
furina_seed42_eng_kin_amh_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
- f6331068
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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_kin_amh_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: 0.0154
- Spearman Corr: 0.8112
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 | 1.95 | 200 | 0.0239 | 0.7162 |
| 0.0881 | 3.9 | 400 | 0.0177 | 0.7990 |
| 0.0228 | 5.85 | 600 | 0.0167 | 0.8089 |
| 0.0168 | 7.8 | 800 | 0.0153 | 0.8124 |
| 0.0127 | 9.76 | 1000 | 0.0168 | 0.8121 |
| 0.0102 | 11.71 | 1200 | 0.0157 | 0.8114 |
| 0.0085 | 13.66 | 1400 | 0.0154 | 0.8122 |
| 0.0073 | 15.61 | 1600 | 0.0156 | 0.8132 |
| 0.0068 | 17.56 | 1800 | 0.0152 | 0.8097 |
| 0.0061 | 19.51 | 2000 | 0.0158 | 0.8094 |
| 0.0055 | 21.46 | 2200 | 0.0155 | 0.8098 |
| 0.005 | 23.41 | 2400 | 0.0152 | 0.8113 |
| 0.005 | 25.37 | 2600 | 0.0152 | 0.8099 |
| 0.0046 | 27.32 | 2800 | 0.0153 | 0.8113 |
| 0.0044 | 29.27 | 3000 | 0.0154 | 0.8112 |
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