SmolLM-135M_inst-sample-240809
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1
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Model tree for juniorVision/SmolLM-135M_inst-sample-240809
Base model
HuggingFaceTB/SmolLM-135M