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output
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.6.0+cpu
- Datasets 2.14.5
- Tokenizers 0.21.0
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Model tree for RishavAi/output
Base model
HuggingFaceTB/SmolLM-135M
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HuggingFaceTB/SmolLM-135M-Instruct