metadata
library_name: transformers
license: apache-2.0
base_model: hiieu/halong_embedding
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: quality_classifier_voz
results: []
quality_classifier_voz
This model is a fine-tuned version of hiieu/halong_embedding on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0033
- Accuracy: 0.9991
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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1