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idefics2-8b-finetuned – AI Model by manan05 | AlphaNeural AI

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manan05/
idefics2-8b-finetuned

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HuggingFaceM4/idefics2-8b

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idefics2-8b-finetuned

This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0346
eval_runtime: 2778.495
eval_samples_per_second: 1.899
eval_steps_per_second: 0.238
epoch: 0.1420
step: 250

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: 12
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1