library_name, license, base_model, tags, model-index

library_name	license	base_model	tags	model-index
transformers	other	HuggingFaceTB/SmolLM2-360M	llama-factory full generated_from_trainer	name results SmolLM2_360M_pretrain_real

SmolLM2_360M_pretrain_real

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M on the bias_in_bios_pt_train_real 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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.57.1
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2