florence2DAV1
This model is a fine-tuned version of microsoft/Florence-2-large on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.5290
- eval_runtime: 123.1257
- eval_samples_per_second: 2.477
- eval_steps_per_second: 2.477
- epoch: 9.0
- step: 10953
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Nikhil-aka-Nick/florence2DAV1
Base model
microsoft/Florence-2-large