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--- |
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license: apache-2.0 |
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base_model: nlpconnect/vit-gpt2-image-captioning |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: vit-gpt-person-image-captioning |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# vit-gpt-person-image-captioning |
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This model is a fine-tuned version of [nlpconnect/vit-gpt2-image-captioning](https://huggingface.co/nlpconnect/vit-gpt2-image-captioning) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0173 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.9984 | 312 | 0.0211 | |
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| 0.0609 | 2.0 | 625 | 0.0194 | |
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| 0.0609 | 2.9984 | 937 | 0.0183 | |
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| 0.021 | 4.0 | 1250 | 0.0176 | |
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| 0.0194 | 4.992 | 1560 | 0.0173 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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