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---
library_name: transformers
license: apache-2.0
base_model: ustc-community/dfine-nano-coco
tags:
- generated_from_trainer
model-index:
- name: d-fine-m-cppe5-finetune-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# d-fine-m-cppe5-finetune-3
This model is a fine-tuned version of [ustc-community/dfine-nano-coco](https://huggingface.co/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
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