metadata

library_name: transformers
license: mit
base_model: vinai/bartpho-syllable
tags:
  - generated_from_trainer
model-index:
  - name: Checkingpoints
    results: []

Checkingpoints

This model is a fine-tuned version of vinai/bartpho-syllable on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.6420
eval_model_preparation_time: 0.0062
eval_sacrebleu: 10.0868
eval_runtime: 904.6518
eval_samples_per_second: 22.108
eval_steps_per_second: 1.382
step: 0

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1