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license: mit
base_model: vinai/phobert-base
tags:
- generated_from_trainer
model-index:
- name: DACN3_LVC
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DACN3_LVC
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6795
## 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: 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 | 1.0 | 347 | 1.6767 |
| 0.233 | 2.0 | 694 | 1.7635 |
| 0.189 | 3.0 | 1041 | 1.9054 |
| 0.189 | 4.0 | 1388 | 2.2254 |
| 0.1566 | 5.0 | 1735 | 2.1978 |
| 0.1968 | 6.0 | 2082 | 2.1144 |
| 0.1968 | 7.0 | 2429 | 2.2885 |
| 0.1541 | 8.0 | 2776 | 2.3121 |
| 0.1055 | 9.0 | 3123 | 2.5475 |
| 0.1055 | 10.0 | 3470 | 2.7483 |
| 0.09 | 11.0 | 3817 | 2.7914 |
| 0.0716 | 12.0 | 4164 | 2.9014 |
| 0.0469 | 13.0 | 4511 | 3.1734 |
| 0.0469 | 14.0 | 4858 | 3.0398 |
| 0.0571 | 15.0 | 5205 | 3.3835 |
| 0.0646 | 16.0 | 5552 | 3.0768 |
| 0.0646 | 17.0 | 5899 | 3.2561 |
| 0.0263 | 18.0 | 6246 | 3.3902 |
| 0.0395 | 19.0 | 6593 | 3.3001 |
| 0.0395 | 20.0 | 6940 | 3.3090 |
| 0.0258 | 21.0 | 7287 | 3.3304 |
| 0.0284 | 22.0 | 7634 | 3.6674 |
| 0.0284 | 23.0 | 7981 | 3.4840 |
| 0.0227 | 24.0 | 8328 | 3.5787 |
| 0.0262 | 25.0 | 8675 | 3.4169 |
| 0.0263 | 26.0 | 9022 | 3.4694 |
| 0.0263 | 27.0 | 9369 | 3.5745 |
| 0.027 | 28.0 | 9716 | 3.5336 |
| 0.0175 | 29.0 | 10063 | 3.5374 |
| 0.0175 | 30.0 | 10410 | 3.5704 |
| 0.0185 | 31.0 | 10757 | 3.5223 |
| 0.012 | 32.0 | 11104 | 3.4871 |
| 0.012 | 33.0 | 11451 | 3.6621 |
| 0.0117 | 34.0 | 11798 | 3.4769 |
| 0.0106 | 35.0 | 12145 | 3.6008 |
| 0.0106 | 36.0 | 12492 | 3.8597 |
| 0.0104 | 37.0 | 12839 | 3.5269 |
| 0.0076 | 38.0 | 13186 | 3.6466 |
| 0.0051 | 39.0 | 13533 | 3.6385 |
| 0.0051 | 40.0 | 13880 | 3.6788 |
| 0.0069 | 41.0 | 14227 | 3.6508 |
| 0.0033 | 42.0 | 14574 | 3.6343 |
| 0.0033 | 43.0 | 14921 | 3.5916 |
| 0.0033 | 44.0 | 15268 | 3.5940 |
| 0.0033 | 45.0 | 15615 | 3.5818 |
| 0.0033 | 46.0 | 15962 | 3.6118 |
| 0.0024 | 47.0 | 16309 | 3.5790 |
| 0.0012 | 48.0 | 16656 | 3.5841 |
| 0.0028 | 49.0 | 17003 | 3.6151 |
| 0.0028 | 50.0 | 17350 | 3.6149 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.5.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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