Doctor-SmolLM-135M-Instruct
This model is a fine-tuned version of HuggingFaceTB/SmolLM-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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 100
- training_steps: 5000
Framework versions
- PEFT 0.14.0
- Transformers 4.48.2
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for julienfdez/Doctor-SmolLM-135M-Instruct
Base model
HuggingFaceTB/SmolLM-135M
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HuggingFaceTB/SmolLM-135M-Instruct