metadata
license: mit
base_model: tangminhanh/pd_cate
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: pd_subcate
results: []
pd_subcate
This model is a fine-tuned version of tangminhanh/pd_cate on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1790
- Accuracy: 0.4074
- F1: 0.4502
- Precision: 0.4817
- Recall: 0.4227
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 42 | 0.1567 | 0.4058 | 0.4567 | 0.4946 | 0.4242 |
| No log | 2.0 | 84 | 0.1583 | 0.3997 | 0.4503 | 0.4901 | 0.4165 |
| No log | 3.0 | 126 | 0.1599 | 0.4058 | 0.4613 | 0.5055 | 0.4242 |
| No log | 4.0 | 168 | 0.1636 | 0.4150 | 0.4596 | 0.4973 | 0.4273 |
| No log | 5.0 | 210 | 0.1670 | 0.3936 | 0.4474 | 0.4874 | 0.4135 |
| No log | 6.0 | 252 | 0.1682 | 0.4043 | 0.4507 | 0.4867 | 0.4196 |
| No log | 7.0 | 294 | 0.1739 | 0.4089 | 0.4594 | 0.4888 | 0.4334 |
| No log | 8.0 | 336 | 0.1790 | 0.4074 | 0.4502 | 0.4817 | 0.4227 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1