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BITAmin_Pet
jeo0534/BITAmin_Pet
BITAmin_Pet is a machine learning model from jeo0534. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- vision-encoder-decoder
- Access
- Public
- Created
- Aug 20, 2024
- Updated
- Aug 21, 2024
- SHA
- f2ab6ff2
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
BITAmin_Pet
This model is a fine-tuned version of ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1144
- eval_rouge1: 0.3019
- eval_rouge2: 0.0755
- eval_rougeL: 0.2642
- eval_rougeLsum: 0.3019
- eval_gen_len: 100.0
- eval_runtime: 1560.6796
- eval_samples_per_second: 0.849
- eval_steps_per_second: 0.425
- epoch: 2.0
- step: 11926
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- vision-encoder-decoder
- Created
- Aug 20, 2024
- Updated
- Aug 21, 2024