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weblinx-idefics-2

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idefics2b-weblinx

This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.

Model description

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Intended uses & limitations

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Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.2
Datasets 2.16.1
Tokenizers 0.19.1

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Base model

HuggingFaceM4/idefics2-8b

Finetuned

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Evaluation results

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