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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_ver6b_coco_swin_gpt2_50Bpc_1e
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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_ver6b_coco_swin_gpt2_50Bpc_1e
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This model is a fine-tuned version of [VK246/IC_ver6a_coco_swin_gpt2_50Apc_1e](https://huggingface.co/VK246/IC_ver6a_coco_swin_gpt2_50Apc_1e) on the coco dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8180
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- Rouge1: 41.462
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- Rouge2: 16.1291
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- Rougel: 37.6518
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- Rougelsum: 37.6471
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- Bleu: 9.9643
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- Gen Len: 11.3063
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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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| 0.8889 | 0.17 | 500 | 0.8659 | 39.7654 | 14.603 | 36.1709 | 36.1638 | 8.8491 | 11.3063 |
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| 0.8756 | 0.34 | 1000 | 0.8515 | 40.3678 | 15.2852 | 36.7303 | 36.7188 | 9.3029 | 11.3063 |
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| 0.862 | 0.51 | 1500 | 0.8388 | 40.7537 | 15.2635 | 37.0523 | 37.0379 | 9.3057 | 11.3063 |
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| 0.8546 | 0.68 | 2000 | 0.8281 | 40.961 | 15.6192 | 37.1627 | 37.1546 | 9.7453 | 11.3063 |
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| 0.837 | 0.85 | 2500 | 0.8214 | 41.5703 | 16.1006 | 37.7767 | 37.7654 | 9.9062 | 11.3063 |
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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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