gbemilekeonilude/SmolLM-360M-JavaScript

1---2library_name: transformers3license: apache-2.04base_model: HuggingFaceTB/SmolLM-360M5tags:6- trl7- sft8- generated_from_trainer9model-index:10- name: SmolLM-360M-JavaScript11  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# SmolLM-360M-JavaScript18 19This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M](https://huggingface.co/HuggingFaceTB/SmolLM-360M) on an unknown dataset.20 21## Model description22 23More information needed24 25## Intended uses & limitations26 27More information needed28 29## Training and evaluation data30 31More information needed32 33## Training procedure34 35### Training hyperparameters36 37The following hyperparameters were used during training:38- learning_rate: 5e-0539- train_batch_size: 840- eval_batch_size: 841- seed: 4242- distributed_type: multi-GPU43- num_devices: 444- total_train_batch_size: 3245- total_eval_batch_size: 3246- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments47- lr_scheduler_type: cosine48- num_epochs: 3.049 50### Training results51 52 53 54### Framework versions55 56- Transformers 4.49.057- Pytorch 2.5.1+cu12458- Datasets 2.20.059- Tokenizers 0.21.060