orchid-sent-segment
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4729
- Precision: 0.3111
- Recall: 0.5506
- F1: 0.3976
- Accuracy: 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 106 | 0.4453 | 0.3144 | 0.5502 | 0.4001 | 0.8142 |
| No log | 2.0 | 212 | 0.4762 | 0.3066 | 0.5489 | 0.3934 | 0.8077 |
| No log | 3.0 | 318 | 0.4729 | 0.3111 | 0.5506 | 0.3976 | 0.8112 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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