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idefics-9b-PokemonCards
This model is a fine-tuned version of HuggingFaceM4/idefics-9b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3421
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4178 | 0.9994 | 819 | 0.4106 |
0.3547 | 1.9988 | 1638 | 0.3421 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for nandeesh10/idefics-9b-PokemonCards
Base model
HuggingFaceM4/idefics-9b