pyabsa-v3-onlyRest
This model is a fine-tuned version of kevinscaria/ate_tk-instruct-base-def-pos-neg-neut-combined on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1771
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: 5e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 701 | 0.2397 |
No log | 2.0 | 1402 | 0.2024 |
No log | 3.0 | 2103 | 0.1893 |
No log | 4.0 | 2804 | 0.1768 |
No log | 5.0 | 3505 | 0.1734 |
No log | 6.0 | 4206 | 0.1771 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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