mmrech/florence2-pitvqa-finetuned
09
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florence2-pitvqa-finetuned
This model is a fine-tuned version of microsoft/Florence-2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7384
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
- trainbatchsize: 2
- evalbatchsize: 2
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 8
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 20
- training_steps: 200
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- PEFT 0.18.1
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.2