rbt3-chn-senti-corp
This model is a fine-tuned version of hfl/rbt3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2704
- Accuracy: 0.9208
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2947 | 1.0 | 600 | 0.2703 | 0.9 |
| 0.2014 | 2.0 | 1200 | 0.2505 | 0.9142 |
| 0.1471 | 3.0 | 1800 | 0.2704 | 0.9208 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.21.4
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