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deberta-v2-base-japanese-finetuned-kyoto
This model is a fine-tuned version of ku-nlp/deberta-v2-base-japanese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6094
- Precision: 0.7567
- Recall: 0.7654
- F1: 0.7574
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: 120
- eval_batch_size: 120
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 21 | 0.7848 | 0.7113 | 0.5890 | 0.4384 |
| No log | 2.0 | 42 | 0.6595 | 0.6998 | 0.7330 | 0.7159 |
| No log | 3.0 | 63 | 0.6561 | 0.7189 | 0.7136 | 0.7007 |
| No log | 4.0 | 84 | 0.6023 | 0.7166 | 0.7508 | 0.7333 |
| No log | 5.0 | 105 | 0.6213 | 0.7325 | 0.7427 | 0.7283 |
| No log | 6.0 | 126 | 0.6261 | 0.7652 | 0.7460 | 0.7349 |
| No log | 7.0 | 147 | 0.5984 | 0.7602 | 0.7540 | 0.7481 |
| No log | 8.0 | 168 | 0.6204 | 0.7642 | 0.7573 | 0.7507 |
| No log | 9.0 | 189 | 0.6094 | 0.7567 | 0.7654 | 0.7574 |
| No log | 10.0 | 210 | 0.6167 | 0.7609 | 0.7605 | 0.7554 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
