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idefics2-hin-v3
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- lr_scheduler_warmup_steps: 2
- training_steps: 500
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for damerajee/idefics2-hin-v3
Base model
HuggingFaceM4/idefics2-8b