metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: metadata-cls-no-gov-8k-v4
results: []
metadata-cls-no-gov-8k-v4
This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2248
- eval_accuracy: 0.9413
- eval_f1: 0.7841
- eval_runtime: 7.5804
- eval_samples_per_second: 155.005
- eval_steps_per_second: 2.506
- epoch: 12.2951
- step: 1500
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-06
- 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
- num_epochs: 20
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1