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idefics-9b-instruct-ft-instruct-compact

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metadata
license: other
base_model: HuggingFaceM4/idefics-9b-instruct
tags:
  - generated_from_trainer
model-index:
  - name: idefics-9b-instruct-ft-instruct-compact
    results: []

idefics-9b-instruct-ft-instruct-compact

This model is a fine-tuned version of HuggingFaceM4/idefics-9b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9658

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.5797 0.36 5 3.3566
3.0965 0.72 10 2.9658

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0