Experimentally Fine-tuned Taiwan SLMs
Collection
A curated Hugging Face Collection of lightweight, high-quality language models fine-tuned specifically for Taiwan Traditional Chinese.
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2 items
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Updated
SmolLM2-135M-Instruct-TaiwanChat
This model is a fine-tuned version of unsloth/SmolLM2-135M-Instruct 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: 1
- eval_batch_size: 1
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 10
- training_steps: 60
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Luigi/SmolLM2-135M-Instruct-TaiwanChat
Base model
HuggingFaceTB/SmolLM2-135M
Quantized
HuggingFaceTB/SmolLM2-135M-Instruct
Finetuned
unsloth/SmolLM2-135M-Instruct