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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- coco
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metrics:
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- rouge
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- bleu
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model-index:
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- name: IC_ver3a_coco_swin_gpt2_
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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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# IC_ver3a_coco_swin_gpt2_
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This model is a fine-tuned version of [](https://huggingface.co/) on the coco dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0156
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- Rouge1: 33.8659
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- Rouge2: 10.1039
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- Rougel: 31.4861
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- Rougelsum: 31.4905
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- Bleu: 5.7396
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- Gen Len: 11.2887
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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: 5e-05
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- train_batch_size: 96
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- eval_batch_size: 96
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- seed: 42
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:------:|:-------:|
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| 1.4761 | 0.34 | 100 | 1.1047 | 28.2757 | 6.0267 | 26.4732 | 26.5071 | 2.7859 | 11.2887 |
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| 1.1238 | 0.68 | 200 | 1.0406 | 32.0448 | 8.6347 | 29.6117 | 29.6193 | 4.4174 | 11.2887 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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