smollm2-lora-results

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smollm2-lora-results

This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 7.0024
• eval_perplexity: 1099.2529
• eval_runtime: 3.107
• eval_samples_per_second: 3.219
• eval_steps_per_second: 3.219
• epoch: 0.02
• step: 10

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.14.0
• Transformers 4.48.2
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.1