pyabsa-v2
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: 0.1876
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 | 351 | 0.2520 |
| No log | 2.0 | 702 | 0.2072 |
| No log | 3.0 | 1053 | 0.1893 |
| No log | 4.0 | 1404 | 0.1817 |
| No log | 5.0 | 1755 | 0.1828 |
| No log | 6.0 | 2106 | 0.1876 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0