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florence2-tpu-finetune – AI Model by ljnlonoljpiljm | AlphaNeural AI

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florence2-tpu-finetune

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florence2-tpu-finetune

This model is a fine-tuned version of ljnlonoljpiljm/florence-vqa-bf16 on the generator 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: tpu
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_XLA with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.02
training_steps: 250000

Framework versions

Transformers 4.48.0
Pytorch 2.9.0+cpu
Datasets 3.2.0
Tokenizers 0.21.4