metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-360M
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: SmolLM-360M-JavaScript
results: []
SmolLM-360M-JavaScript
This model is a fine-tuned version of HuggingFaceTB/SmolLM-360M 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 2.20.0
- Tokenizers 0.21.0