README.md

metadata

library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: SmolLM-135M_inst-sample-240809
    results: []

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