metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-Classifier-T4_predictLabel_a1_v8
results: []
CS505-Classifier-T4_predictLabel_a1_v8
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0078
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.99 | 97 | 0.5015 |
| No log | 1.98 | 194 | 0.3145 |
| No log | 2.97 | 291 | 0.2217 |
| No log | 3.96 | 388 | 0.1995 |
| No log | 4.95 | 485 | 0.1427 |
| 0.4489 | 5.94 | 582 | 0.1056 |
| 0.4489 | 6.93 | 679 | 0.0765 |
| 0.4489 | 7.92 | 776 | 0.0530 |
| 0.4489 | 8.91 | 873 | 0.0605 |
| 0.4489 | 9.9 | 970 | 0.0387 |
| 0.1098 | 10.89 | 1067 | 0.0360 |
| 0.1098 | 11.88 | 1164 | 0.0179 |
| 0.1098 | 12.87 | 1261 | 0.0104 |
| 0.1098 | 13.86 | 1358 | 0.0135 |
| 0.1098 | 14.85 | 1455 | 0.0066 |
| 0.0301 | 15.84 | 1552 | 0.0137 |
| 0.0301 | 16.83 | 1649 | 0.0078 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2