hoa-1b4-Trainer-geo-small-no-pad-tokenizer
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: 5e-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 0.13.2
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.20.3
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Model tree for Luongdzung/hoa-1b4-Trainer-geo-small-no-pad-tokenizer
Base model
vlsp-2023-vllm/hoa-1b4