README.md

metadata

library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M-Instruct
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: SmolLM-135M-Instruct_finetuned
    results: []

SmolLM-135M-Instruct_finetuned

This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M-Instruct 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: 3e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2

Training results

Framework versions

• Transformers 4.45.2
• Pytorch 2.0.1
• Datasets 3.0.1
• Tokenizers 0.20.1