emendes3/idefics-9b-instruct-lr-3e-4-city

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idefics-9b-instruct-lr-3e-4-city

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: nan
• —Accuracy: 0.2713

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: 0.0003
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 5.0

Training results

Framework versions

• —PEFT 0.10.1.dev0
• —Transformers 4.40.0.dev0
• —Pytorch 2.2.2+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2