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SmolLM-135M-Instruct-medical_meadow_medical_flashcards-1epochs
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M-Instruct on the generator 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for elliotthwang/SmolLM-135M-Instruct-medical_meadow_medical_flashcards-1epochs
Base model
HuggingFaceTB/SmolLM-135M
Quantized
HuggingFaceTB/SmolLM-135M-Instruct