d-fine-m-cppe5-finetune-3

This model is a fine-tuned version of ustc-community/dfine-nano-coco on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.7779
• eval_runtime: 4.1804
• eval_samples_per_second: 154.053
• eval_steps_per_second: 19.376
• epoch: 7.8431
• step: 12000

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• 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: cosine
• lr_scheduler_warmup_steps: 300
• num_epochs: 30

Framework versions

• Transformers 4.52.0.dev0
• Pytorch 2.6.0
• Datasets 3.6.0
• Tokenizers 0.21.1