lc_cate
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3148
- Accuracy: 0.7535
- F1: 0.7694
- Precision: 0.7812
- Recall: 0.7579
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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 32 | 0.2704 | 0.7415 | 0.7640 | 0.7874 | 0.7421 |
| No log | 2.0 | 64 | 0.2764 | 0.7275 | 0.7497 | 0.7726 | 0.7282 |
| No log | 3.0 | 96 | 0.2802 | 0.7495 | 0.7675 | 0.7859 | 0.75 |
| No log | 4.0 | 128 | 0.2915 | 0.7435 | 0.7614 | 0.7796 | 0.7440 |
| No log | 5.0 | 160 | 0.3044 | 0.7214 | 0.7472 | 0.7717 | 0.7242 |
| No log | 6.0 | 192 | 0.2972 | 0.7595 | 0.7737 | 0.7881 | 0.7599 |
| No log | 7.0 | 224 | 0.3061 | 0.7375 | 0.7626 | 0.7735 | 0.7520 |
| No log | 8.0 | 256 | 0.3049 | 0.7615 | 0.7759 | 0.7862 | 0.7659 |
| No log | 9.0 | 288 | 0.3073 | 0.7475 | 0.7657 | 0.7798 | 0.7520 |
| No log | 10.0 | 320 | 0.3067 | 0.7515 | 0.7705 | 0.7856 | 0.7560 |
| No log | 11.0 | 352 | 0.3187 | 0.7455 | 0.7647 | 0.7822 | 0.7480 |
| No log | 12.0 | 384 | 0.3148 | 0.7535 | 0.7694 | 0.7812 | 0.7579 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
microsoft/deberta-v3-small