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test – AI Model by Trinity2105 | AlphaNeural AI | AlphaNeural AI

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Trinity2105/
test

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text2text-generation

generated_from_trainer

vinai/bartpho-syllable

endpoints_compatible

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test

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: 2.0705
eval_model_preparation_time: 0.0113
eval_sacrebleu: 11.2470
eval_runtime: 2195.8916
eval_samples_per_second: 16.394
eval_steps_per_second: 2.049
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1