idefics-9b-YBT-Scores

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idefics-9b-YBT-Scores

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

• Loss: 2.9246

Model description

VLM to assess y balance test

Intended uses & limitations

This is trained only for visual QA on y balance test.

Training and evaluation data

It is based on a dataset ybalancetest

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.9.1.dev0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2