Model save
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README.md
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This model is a fine-tuned version of [ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko](https://huggingface.co/ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0644
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- Rouge1: 6.
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- Rouge2: 3.
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- Rougel: 6.
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- Rougelsum: 6.
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- Gen Len: 100.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 0.2001 | 1.0 | 2982 | 0.1589 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
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| 0.1178 | 2.0 | 5964 | 0.1095 | 0.
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| 0.0778 | 3.0 | 8946 | 0.0829 | 2.
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| 0.0552 | 4.0 | 11928 | 0.0691 | 5.
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| 0.0396 | 5.0 | 14910 | 0.0644 | 6.
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### Framework versions
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This model is a fine-tuned version of [ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko](https://huggingface.co/ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0644
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- Rouge1: 6.6906
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- Rouge2: 3.2986
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- Rougel: 6.6499
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- Rougelsum: 6.6803
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- Gen Len: 100.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 0.2001 | 1.0 | 2982 | 0.1589 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 |
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| 0.1178 | 2.0 | 5964 | 0.1095 | 0.8554 | 0.7275 | 0.8315 | 0.8554 | 100.0 |
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| 0.0778 | 3.0 | 8946 | 0.0829 | 2.7168 | 1.6458 | 2.7157 | 2.6864 | 100.0 |
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| 0.0552 | 4.0 | 11928 | 0.0691 | 5.454 | 2.6068 | 5.4184 | 5.4101 | 100.0 |
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| 0.0396 | 5.0 | 14910 | 0.0644 | 6.6906 | 3.2986 | 6.6499 | 6.6803 | 100.0 |
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### Framework versions
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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runs/Aug20_15-59-22_dd3b54bd5557/events.out.tfevents.1724169564.dd3b54bd5557.24.0
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size 18569
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