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SmolVLM-Instruct-biomed

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metadata
library_name: peft
license: apache-2.0
base_model: HuggingFaceTB/SmolVLM-Instruct
tags:
  - generated_from_trainer
model-index:
  - name: SmolVLM-Instruct-biomed
    results: []

SmolVLM-Instruct-biomed

This model is a fine-tuned version of HuggingFaceTB/SmolVLM-Instruct on PubMedVision 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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 5
  • total_train_batch_size: 40
  • optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.14.0
  • Transformers 4.48.0.dev0
  • Pytorch 2.3.1
  • Datasets 3.2.0
  • Tokenizers 0.21.0