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hoa-1b4-Trainer-geo-small-no-pad-tokenizer-lr-2e-5 – AI Model by Luongdzung | AlphaNeural AI

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Luongdzung/
hoa-1b4-Trainer-geo-small-no-pad-tokenizer-lr-2e-5

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vlsp-2023-vllm/hoa-1b4

bigscience-bloom-rail-1.0

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hoa-1b4-Trainer-geo-small-no-pad-tokenizer-lr-2e-5

This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on an unknown dataset.

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Framework versions

PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.21.0