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---
library_name: transformers
license: apache-2.0
base_model: hiieu/halong_embedding
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: quality_classifier_new
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. -->
# quality_classifier_new
This model is a fine-tuned version of [hiieu/halong_embedding](https://huggingface.co/hiieu/halong_embedding) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0020
- Accuracy: 0.9997
## 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
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